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.gitignore vendored
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wikipedia/data/
wikipedia/logs/
wikipedia/resources/enwp_wikiproject_covid19_articles.txt
__pycache__

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[submodule "real-time-wiki-covid-tracker"]
path = real-time-wiki-covid-tracker
url = https://github.com/digitalTranshumant/real-time-wiki-covid-tracker

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README.md
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# COVID-19 Digital Observatory
The [COVID-19 Digital Observatory](https://covid19.communitydata.science "Covid-19 Digital Observatory homepage") collects, aggregates, and distributes data from social media, search engine results, and Wikipedia to support immediate public health response and social and data science research related to the pandemic.
The COVID-19 Digital Observatory collects, aggregates, and distributes data from social media, search engine results, and Wikipedia to support social and data science research related to the pandemic.
The [community data science collective](https://wiki.communitydata.science/Main_Page "The community data science collective wiki") is working with [Pushshift](https://pushshift.io) and others to build this project. We expect to make rapid progess and to release additional code and data soon.
The [community data science collective](https://wiki.communitydata.science/Main_Page "The community data science collective wiki") is the early stages of building this project. We expect to make rapid progess and to begin releasing code and data soon.
We eagerly welcome contributors! Please get in touch, submit pull requests, and visit the [project homepage](https://covid19.communitydata.science "Covid-19 Digital Observatory homepage") for more info. Also, please note that contributors are held to the [code of conduct](code_of_conduct.md "link to code of conduct.md").
We eagerly welcome contributors! Please get in touch.
Contributors are held to the [code of conduct](code_of_conduct.md "link to code of conduct.md").

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cron-wikipedia_revisions.sh
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#!/bin/bash -x
WORKING_DIR="/home/SOC.NORTHWESTERN.EDU/bmh1867/covid19"
cd $WORKING_DIR
TZ="UTC"
date_string=$(date +%Y%m%d)
revs_log="enwp-revisions-${date_string}.log"
./wikipedia/scripts/wikiproject_scraper.py 2> >(tee wikipedia/logs/${revs_log})
./wikipedia/scripts/fetch_enwiki_revisions.py 2> >(tee -a wikipedia/logs/${revs_log})
mv wikipedia/logs/${revs_log} /var/www/covid19/wikipedia/logs/
revs_tsv="digobs_covid19-wikipedia-enwiki_revisions-${date_string}.tsv"
mv wikipedia/data/${revs_tsv} /var/www/covid19/wikipedia
revs_json="digobs_covid19-wikipedia-enwiki_revisions-${date_string}.json"
xz wikipedia/data/${revs_json}
mv wikipedia/data/${revs_json}.xz /var/www/covid19/wikipedia

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cron-wikipedia_views.sh
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#!/bin/bash -x
WORKING_DIR="/home/SOC.NORTHWESTERN.EDU/bmh1867/covid19"
cd $WORKING_DIR
TZ="UTC"
date_string=${OVERRIDE_DATE_STRING:-$(date +%Y%m%d)}
view_log="enwp-daily_views-${date_string}.log"
./wikipedia/scripts/wikiproject_scraper.py 2> >(tee wikipedia/logs/${view_log})
# get the list of files
./wikipedia/scripts/fetch_enwiki_daily_views.py -d "${date_string}" 2> >(tee -a wikipedia/logs/${view_log})
mv wikipedia/logs/${view_log} /var/www/covid19/wikipedia/logs/${view_log}
mv wikipedia/data/digobs_covid19-wikipedia-enwiki_dailyviews-${date_string}.tsv /var/www/covid19/wikipedia/
# xz wikipedia/data/digobs_covid19-wikipedia-enwiki_dailyviews-${date_string}.json
mv wikipedia/data/digobs_covid19-wikipedia-enwiki_dailyviews-${date_string}.json /var/www/covid19/wikipedia/

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keywords/README.md
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# Keywords
This code finds trending web searches related to the COVID-19 pandemic using Google trends (`collect_trends.py`). It then searches for relevant keywords on Wikidata (`wikidata_search`) in order to find high-quality translations of important words and phrases (`wikidata_translations.py`). The goal is to support efforts expanding the Observatory to information in many languages beyond English.
We search the Wikidata API for entities in `src/wikidata_search.py` and then we make simple SPARQL queries in `src/wikidata_translations.py` to collect labels and aliases the entities. The labels come with language metadata. This seems to provide a decent initial list of relevant terms across multiple languages.
The output data lives at [covid19.communitydata.science](https://covid19.communitydata.science/datasets/keywords).
The output files have 4 colums:
- `itemid` links to the wikidata entity
- `label` is the translation of the relevant keyword
- `langcode` is the [iso 639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) code corresponding the language of the label.
- `is_alt` indicates whether the label is an [alias](https://www.wikidata.org/wiki/Help:Aliases).

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keywords/example_analysis/output/top5_queries_per_term_per_date.csv
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"term","date","query.1","query.2","query.3","query.4","query.5"
"coronavirus",2020-03-27,coronavirus update,corona,coronavirus symptoms,news coronavirus,coronavirus cases
"covid-19",2020-03-27,covid-19 coronavirus,coronavirus,covid,covid-19 cases,covid 19
"covid-19 pandemic",2020-03-27,coronavirus,covid-19 coronavirus pandemic,coronavirus pandemic,who,is covid-19 a pandemic
"covid19",2020-03-27,covid,covid 19,coronavirus covid19,coronavirus,covid19 cases
"sars-cov-2",2020-03-27,coronavirus,coronavirus sars-cov-2,covid-19,covid-19 sars-cov-2,sars
"coronavirus",2020-03-28,coronavirus update,corona,coronavirus symptoms,news coronavirus,coronavirus cases
"covid-19",2020-03-28,coronavirus,coronavirus covid-19,covid,covid-19 cases,covid 19
"covid-19 pandemic",2020-03-28,coronavirus pandemic,coronavirus,covid-19 coronavirus pandemic,is covid-19 a pandemic,who pandemic
"covid19",2020-03-28,covid,covid 19,coronavirus covid19,coronavirus,covid19 cases
"sars-cov-2",2020-03-28,coronavirus sars-cov-2,coronavirus,sars-cov-2 covid-19,covid-19,sars
1 term date query.1 query.2 query.3 query.4 query.5
2 coronavirus 2020-03-27 coronavirus update corona coronavirus symptoms news coronavirus coronavirus cases
3 covid-19 2020-03-27 covid-19 coronavirus coronavirus covid covid-19 cases covid 19
4 covid-19 pandemic 2020-03-27 coronavirus covid-19 coronavirus pandemic coronavirus pandemic who is covid-19 a pandemic
5 covid19 2020-03-27 covid covid 19 coronavirus covid19 coronavirus covid19 cases
6 sars-cov-2 2020-03-27 coronavirus coronavirus sars-cov-2 covid-19 covid-19 sars-cov-2 sars
7 coronavirus 2020-03-28 coronavirus update corona coronavirus symptoms news coronavirus coronavirus cases
8 covid-19 2020-03-28 coronavirus coronavirus covid-19 covid covid-19 cases covid 19
9 covid-19 pandemic 2020-03-28 coronavirus pandemic coronavirus covid-19 coronavirus pandemic is covid-19 a pandemic who pandemic
10 covid19 2020-03-28 covid covid 19 coronavirus covid19 coronavirus covid19 cases
11 sars-cov-2 2020-03-28 coronavirus sars-cov-2 coronavirus sars-cov-2 covid-19 covid-19 sars

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keywords/example_analysis/related_searches_example.R
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### COVID-19 Digital Observatory
### 2020-03-28
###
### Minimal example analysis file using trending search data
### Import and cleanup data
DataURL <-
url("https://github.com/CommunityDataScienceCollective/COVID-19_Digital_Observatory/blob/master/transliterations/data/output/related_searches_top.csv")
related.searches.top <- read.table(DataURL,
sep=",", header=TRUE,
stringsAsFactors=FALSE)
### Alternatively, uncomment and run if working locally with full git tree
### Identify data source directory and file
## DataDir <- ("../data/output/")
## DataFile <- ("related_searches_top.csv")
## related.searches.top <- read.table(paste(DataDir,DataFile, sep=""),
## sep=",", header=TRUE,
## stringsAsFactors=FALSE)
### Aggregate top 5 search queries by term/day
top5.per.term.date <- aggregate(query ~ term + date,
data=related.searches.top,
head, 5)
## Might cleanup a bit for further analysis or visualization...
top5.per.term.date$date <- as.Date(top5.per.term.date$date)
### Export
write.table(top5.per.term.date,
file="output/top5_queries_per_term_per_date.csv", sep=",",
row.names=FALSE)

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keywords/example_analysis/related_searches_tidyverse_example.R
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### COVID-19 Digital Observatory
### 2020-03-28
###
### Minimal example analysis file using trending search data
library(tidyverse)
### Import and cleanup data
related.searches.top = read_csv("https://github.com/CommunityDataScienceCollective/COVID-19_Digital_Observatory/raw/master/keywords/output/intermediate/related_searches_top.csv")
## Plot how often the top 10 queries appear in the top 10 suggested list each day
plot <- related.searches.top %>%
group_by(term, date) %>% # Group by term and date
arrange(-value) %>% # Sort by value (this should already be done anyway)
top_n(10) %>% # Get the top 10 queries for each term-day pair
group_by(query) %>% # Group by again, this time for each query
summarize(appearances = n()) %>% # Count how often this query appears in the top 10 (which is how many Google displays)
arrange(-appearances) %>% # Sort by appearances
top_n(10) %>% # And get the top 10 queries
ggplot(aes(x=reorder(query, appearances), y=appearances)) + # Plot the number of appearances, ordered by appearances
geom_bar(stat = 'identity') + # Tell R that we want to use the values of `appearances` as the counts
coord_flip() + # Flip the plot
xlab("Query") +
ylab("Number of appearances in top 10 suggested queries") +
theme_minimal() # And make it minimal
ggsave('./output/top_queries_plot.png', plot)

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keywords/example_analysis/translations_example.R
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## example reading latest file straight from the server
df <- read.csv("https://covid19.communitydata.science/datasets/keywords/csv/latest.csv")
## make the data more R-friendly
df$is.alt <- df$is_alt == "True"
df$is_alt <- NULL
## find all translations for coronavirus
coronavirus.itemids <- df[ (tolower(df$label) == "coronavirus") &
(df$langcode == 'en')
,"itemid"]
## there are actually 5 item ids. The one referring to the family of virus is Q57751738
coronavirus.translations <- df[df$itemid == "http://www.wikidata.org/entity/Q57751738",]
## let's only look at non-aliases
print(coronavirus.translations[c(coronavirus.translations$is.alt == FALSE), c("label","langcode")])

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keywords/example_analysis/translations_example.py
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import pandas as pd
# read the latest dataset
df = pd.read_csv("https://covid19.communitydata.science/datasets/keywords/csv/latest.csv")
# find translations of "coronavirus"
coronavirus_itemids = df.loc[df.label.str.lower() == "coronavirus"]
# there are actually 5 item ids. The one referring to the family of virus is Q57751738
coronavirus_translations = df.loc[df.itemid == "http://www.wikidata.org/entity/Q57751738"]
# let's only look at unique, non-aliases
print(coronavirus_translations.loc[df.is_alt == False,['label','langcode']])

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date,term,top
2020-03-27,COVID-19,0
2020-03-27,Boris Johnson,1
2020-03-27,Thomas Massie,2
2020-03-27,Ozark,3
2020-03-27,Drew Brees,4
2020-03-27,Bill Gates,5
2020-03-27,Kourtney Kardashian,6
2020-03-27,Doris Burke,7
2020-03-27,Pope Francis,8
2020-03-27,Krispy Kreme,9
2020-03-27,Roman Reigns,10
2020-03-27,A Million Little Things,11
2020-03-27,Pearl Jam Gigaton,12
2020-03-27,Gretchen Whitmer,13
2020-03-27,Bill Ackman,14
2020-03-27,Till Lindemann,15
2020-03-27,Trish Regan,16
2020-03-27,Steven Universe Future,17
2020-03-27,Urbi et Orbi,18
2020-03-27,Nc stay-at-home order,19
2020-03-28,Dog,0
2020-03-28,Tom Coburn,1
2020-03-28,Cat,2
2020-03-28,Weather radar,3
2020-03-28,Horse,4
2020-03-28,Elephant,5
2020-03-28,Bear,6
2020-03-28,Penguin,7
2020-03-28,Joseph Lowery,8
2020-03-28,North Carolina,9
2020-03-28,Wolf,10
2020-03-28,Predator: Hunting Grounds,11
2020-03-28,Duck,12
2020-03-28,Vivarium,13
2020-03-28,Instacart strike,14
2020-03-29,Joe Diffie,0
2020-03-29,John Prine,1
2020-03-29,Elton John,2
2020-03-29,Tiger,3
2020-03-29,Garth Brooks,4
2020-03-29,Social distancing,5
2020-03-29,Shawn Mendes,6
2020-03-29,Sarah Jessica Parker,7
2020-03-29,Shia LaBeouf,8
2020-03-29,Maria Mercader,9
2020-03-29,Liberty University,10
2020-03-29,Jeanine Pirro,11
2020-03-29,WrestleMania 32,12
2020-03-29,Jan Howard,13
2020-03-29,Nier Replicant,14
2020-03-29,Suicide Squad,15
2020-03-29,Cards Against Humanity online,16
2020-03-29,Matthew Faber,17
2020-03-29,Dave Grohl,18
2020-03-29,Daisy Keech,19
date,term,top
2020-03-29,Joe Diffie,0
2020-03-29,John Prine,1
2020-03-29,Elton John,2
2020-03-29,Tiger,3
2020-03-29,Garth Brooks,4
2020-03-29,Social distancing,5
2020-03-29,Shawn Mendes,6
2020-03-29,Sarah Jessica Parker,7
2020-03-29,Shia LaBeouf,8
2020-03-29,Maria Mercader,9
2020-03-29,Liberty University,10
2020-03-29,Jeanine Pirro,11
2020-03-29,WrestleMania 32,12
2020-03-29,Jan Howard,13
2020-03-29,Nier Replicant,14
2020-03-29,Suicide Squad,15
2020-03-29,Cards Against Humanity online,16
2020-03-29,Matthew Faber,17
2020-03-29,Dave Grohl,18
2020-03-29,Daisy Keech,19
date,term,top
2020-03-31,Sophie Brussaux,0
2020-03-31,Virginia stay-at-home order,1
2020-03-31,Furlough,2
2020-03-31,SBA disaster loans,3
2020-03-31,Schoology,4
2020-03-31,MyPillow,5
2020-03-31,John Krasinski,6
2020-03-31,Modern Warfare 2 Remastered,7
2020-03-31,Michigan unemployment,8
2020-03-31,Tomie dePaola,9
2020-03-31,The Good Doctor,10
2020-03-31,Arizona news,11
2020-03-31,Instacart strike,12
2020-03-31,USNS Comfort,13
2020-03-31,Crocs,14
2020-03-31,"Texas, unemployment",15
2020-03-31,Unemployment NY,16
2020-03-31,Arizona stay-at-home order,17
2020-03-31,N.C unemployment,18
2020-03-31,Unemployment benefits,19
date,term,top
2020-03-31,Chris Cuomo,0
2020-03-31,Andrew Jack,1
2020-03-31,David Geffen,2
2020-03-31,April fools' pranks,3
2020-03-31,Taco Bell free taco,4
2020-03-31,Face mask for sale,5
2020-03-31,Seoul,6
2020-03-31,Myron Rolle,7
2020-03-31,DaBaby,8
2020-03-31,Carole Baskin's husband,9
2020-03-31,Everlane,10
2020-03-31,Governor Abbott,11
1 date term top
2 2020-03-27 COVID-19 0
3 2020-03-27 Boris Johnson 1
4 2020-03-27 Thomas Massie 2
5 2020-03-27 Ozark 3
6 2020-03-27 Drew Brees 4
7 2020-03-27 Bill Gates 5
8 2020-03-27 Kourtney Kardashian 6
9 2020-03-27 Doris Burke 7
10 2020-03-27 Pope Francis 8
11 2020-03-27 Krispy Kreme 9
12 2020-03-27 Roman Reigns 10
13 2020-03-27 A Million Little Things 11
14 2020-03-27 Pearl Jam Gigaton 12
15 2020-03-27 Gretchen Whitmer 13
16 2020-03-27 Bill Ackman 14
17 2020-03-27 Till Lindemann 15
18 2020-03-27 Trish Regan 16
19 2020-03-27 Steven Universe Future 17
20 2020-03-27 Urbi et Orbi 18
21 2020-03-27 Nc stay-at-home order 19
22 2020-03-28 Dog 0
23 2020-03-28 Tom Coburn 1
24 2020-03-28 Cat 2
25 2020-03-28 Weather radar 3
26 2020-03-28 Horse 4
27 2020-03-28 Elephant 5
28 2020-03-28 Bear 6
29 2020-03-28 Penguin 7
30 2020-03-28 Joseph Lowery 8
31 2020-03-28 North Carolina 9
32 2020-03-28 Wolf 10
33 2020-03-28 Predator: Hunting Grounds 11
34 2020-03-28 Duck 12
35 2020-03-28 Vivarium 13
36 2020-03-28 Instacart strike 14
37 2020-03-29 Joe Diffie 0
38 2020-03-29 John Prine 1
39 2020-03-29 Elton John 2
40 2020-03-29 Tiger 3
41 2020-03-29 Garth Brooks 4
42 2020-03-29 Social distancing 5
43 2020-03-29 Shawn Mendes 6
44 2020-03-29 Sarah Jessica Parker 7
45 2020-03-29 Shia LaBeouf 8
46 2020-03-29 Maria Mercader 9
47 2020-03-29 Liberty University 10
48 2020-03-29 Jeanine Pirro 11
49 2020-03-29 WrestleMania 32 12
50 2020-03-29 Jan Howard 13
51 2020-03-29 Nier Replicant 14
52 2020-03-29 Suicide Squad 15
53 2020-03-29 Cards Against Humanity online 16
54 2020-03-29 Matthew Faber 17
55 2020-03-29 Dave Grohl 18
56 2020-03-29 Daisy Keech 19
57 date term top
58 2020-03-29 Joe Diffie 0
59 2020-03-29 John Prine 1
60 2020-03-29 Elton John 2
61 2020-03-29 Tiger 3
62 2020-03-29 Garth Brooks 4
63 2020-03-29 Social distancing 5
64 2020-03-29 Shawn Mendes 6
65 2020-03-29 Sarah Jessica Parker 7
66 2020-03-29 Shia LaBeouf 8
67 2020-03-29 Maria Mercader 9
68 2020-03-29 Liberty University 10
69 2020-03-29 Jeanine Pirro 11
70 2020-03-29 WrestleMania 32 12
71 2020-03-29 Jan Howard 13
72 2020-03-29 Nier Replicant 14
73 2020-03-29 Suicide Squad 15
74 2020-03-29 Cards Against Humanity online 16
75 2020-03-29 Matthew Faber 17
76 2020-03-29 Dave Grohl 18
77 2020-03-29 Daisy Keech 19
78 date term top
79 2020-03-31 Sophie Brussaux 0
80 2020-03-31 Virginia stay-at-home order 1
81 2020-03-31 Furlough 2
82 2020-03-31 SBA disaster loans 3
83 2020-03-31 Schoology 4
84 2020-03-31 MyPillow 5
85 2020-03-31 John Krasinski 6
86 2020-03-31 Modern Warfare 2 Remastered 7
87 2020-03-31 Michigan unemployment 8
88 2020-03-31 Tomie dePaola 9
89 2020-03-31 The Good Doctor 10
90 2020-03-31 Arizona news 11
91 2020-03-31 Instacart strike 12
92 2020-03-31 USNS Comfort 13
93 2020-03-31 Crocs 14
94 2020-03-31 Texas, unemployment 15
95 2020-03-31 Unemployment NY 16
96 2020-03-31 Arizona stay-at-home order 17
97 2020-03-31 N.C unemployment 18
98 2020-03-31 Unemployment benefits 19
99 date term top
100 2020-03-31 Chris Cuomo 0
101 2020-03-31 Andrew Jack 1
102 2020-03-31 David Geffen 2
103 2020-03-31 April fools' pranks 3
104 2020-03-31 Taco Bell free taco 4
105 2020-03-31 Face mask for sale 5
106 2020-03-31 Seoul 6
107 2020-03-31 Myron Rolle 7
108 2020-03-31 DaBaby 8
109 2020-03-31 Carole Baskin's husband 9
110 2020-03-31 Everlane 10
111 2020-03-31 Governor Abbott 11

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keywords/output/intermediate/related_searches_rising.csv
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query,value,term,date
coronavirus tips,102600,coronavirus,2020-03-27
covid 19,72600,coronavirus,2020-03-27
trump coronavirus,52900,coronavirus,2020-03-27
notizie coronavirus,50350,coronavirus,2020-03-27
wuhan coronavirus,48850,coronavirus,2020-03-27
ultime coronavirus,45300,coronavirus,2020-03-27
coronavirus ultime notizie,39600,coronavirus,2020-03-27
coronavirus worldometer,37350,coronavirus,2020-03-27
us coronavirus cases,36250,coronavirus,2020-03-27
italie coronavirus,34850,coronavirus,2020-03-27
coronavirus update india,25550,coronavirus,2020-03-27
coronavirus in italia,25500,coronavirus,2020-03-27
covid-19,24150,coronavirus,2020-03-27
coronavirus live map,23700,coronavirus,2020-03-27
john hopkins coronavirus,23650,coronavirus,2020-03-27
coronavirus lombardia,23400,coronavirus,2020-03-27
coronavirus meme,23050,coronavirus,2020-03-27
coronavirus live update,23050,coronavirus,2020-03-27
coronavirus update uk,20950,coronavirus,2020-03-27
decreto coronavirus,19750,coronavirus,2020-03-27
coronavirus österreich,19250,coronavirus,2020-03-27
coronavirus roma,18900,coronavirus,2020-03-27
coronavirus memes,17350,coronavirus,2020-03-27
coronavirus cases in india,16050,coronavirus,2020-03-27
coronavirus georgia,16050,coronavirus,2020-03-27
covid-19 coronavirus,1218150,covid-19,2020-03-27
coronavirus,1181150,covid-19,2020-03-27
covid,682700,covid-19,2020-03-27
covid-19 cases,605100,covid-19,2020-03-27
covid 19,473950,covid-19,2020-03-27
corona,405300,covid-19,2020-03-27
virus covid-19,398550,covid-19,2020-03-27
covid-19 map,273250,covid-19,2020-03-27
covid-19 symptoms,271350,covid-19,2020-03-27
covid-19 news,247000,covid-19,2020-03-27
covid-19 updates,238250,covid-19,2020-03-27
covid-19 update,213450,covid-19,2020-03-27
covid-19 live,203950,covid-19,2020-03-27
corona virus,201950,covid-19,2020-03-27
covid-19 us,185450,covid-19,2020-03-27
who,169900,covid-19,2020-03-27
covid-19 who,169200,covid-19,2020-03-27
covid-19 canada,167650,covid-19,2020-03-27
what is covid-19,165850,covid-19,2020-03-27
covid-19 cdc,143000,covid-19,2020-03-27
cdc,139750,covid-19,2020-03-27
covid-19 test,136250,covid-19,2020-03-27
covid-19 italy,134850,covid-19,2020-03-27
covid-19 china,128200,covid-19,2020-03-27
covid-19 usa,118050,covid-19,2020-03-27
covid,1438650,covid19,2020-03-27
covid 19,1282950,covid19,2020-03-27
coronavirus covid19,950500,covid19,2020-03-27
coronavirus,930200,covid19,2020-03-27
covid19 cases,496800,covid19,2020-03-27
corona,395600,covid19,2020-03-27
corona covid19,390150,covid19,2020-03-27
covid19 virus,368100,covid19,2020-03-27
covid19 news,253550,covid19,2020-03-27
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symptoms covid19,222750,covid19,2020-03-27
covid19 symptoms,220150,covid19,2020-03-27
covid19 map,217850,covid19,2020-03-27
corona virus,206600,covid19,2020-03-27
covid19 us,178600,covid19,2020-03-27
what is covid19,173100,covid19,2020-03-27
covid19 who,159800,covid19,2020-03-27
who,156600,covid19,2020-03-27
canada covid19,155350,covid19,2020-03-27
italy covid19,154100,covid19,2020-03-27
italy,147850,covid19,2020-03-27
test covid19,146500,covid19,2020-03-27
china covid19,144300,covid19,2020-03-27
covid19 uk,130850,covid19,2020-03-27
covid-19,129800,covid19,2020-03-27
coronavirus,707750,sars-cov-2,2020-03-27
coronavirus sars-cov-2,687850,sars-cov-2,2020-03-27
covid-19,568100,sars-cov-2,2020-03-27
covid-19 sars-cov-2,538200,sars-cov-2,2020-03-27
sars,346250,sars-cov-2,2020-03-27
virus sars-cov-2,306300,sars-cov-2,2020-03-27
corona,241200,sars-cov-2,2020-03-27
sars-cov-2 covid 19,224250,sars-cov-2,2020-03-27
covid 19,210650,sars-cov-2,2020-03-27
corona virus,121450,sars-cov-2,2020-03-27
sars-cov-2 vs covid-19,107850,sars-cov-2,2020-03-27
what is sars-cov-2,107650,sars-cov-2,2020-03-27
sars cov 2,91850,sars-cov-2,2020-03-27
sars-cov-2 wiki,56650,sars-cov-2,2020-03-27
koronawirus,47000,sars-cov-2,2020-03-27
cdc,44300,sars-cov-2,2020-03-27
sars-cov,44100,sars-cov-2,2020-03-27
sars-cov-1,41000,sars-cov-2,2020-03-27
sars-cov-2 vs cod-19,28450,sars-cov-2,2020-03-27
sars-cov-2 genome,22300,sars-cov-2,2020-03-27
pubmed,22200,sars-cov-2,2020-03-27
коронавирус,21950,sars-cov-2,2020-03-27
sars-cov-2 or covid-19,19150,sars-cov-2,2020-03-27
on the origin and continuing evolution of sars-cov-2,18950,sars-cov-2,2020-03-27
the proximal origin of sars-cov-2,18800,sars-cov-2,2020-03-27
coronavirus,707350,covid-19 pandemic,2020-03-27
covid-19 coronavirus pandemic,682850,covid-19 pandemic,2020-03-27
coronavirus pandemic,655700,covid-19 pandemic,2020-03-27
who,288300,covid-19 pandemic,2020-03-27
is covid-19 a pandemic,269250,covid-19 pandemic,2020-03-27
who pandemic,262250,covid-19 pandemic,2020-03-27
covid 19 pandemic,248100,covid-19 pandemic,2020-03-27
pandemic meaning,140650,covid-19 pandemic,2020-03-27
what is a pandemic,107950,covid-19 pandemic,2020-03-27
pandemic vs epidemic,98050,covid-19 pandemic,2020-03-27
cdc pandemic,97750,covid-19 pandemic,2020-03-27
pandemic definition,94750,covid-19 pandemic,2020-03-27
pandemic define,61950,covid-19 pandemic,2020-03-27
covid-19 pandemic plan,58650,covid-19 pandemic,2020-03-27
coronavirus pandemic covid-19 live world map/count,55350,covid-19 pandemic,2020-03-27
who declared covid-19 pandemic,52050,covid-19 pandemic,2020-03-27
covid-19 pandemic unemployment payment,51900,covid-19 pandemic,2020-03-27
coronavirus update,32550,covid-19 pandemic,2020-03-27
coronavirus tips,109950,coronavirus,2020-03-28
covid,97600,coronavirus,2020-03-28
coronavirus death toll,52800,coronavirus,2020-03-28
wuhan coronavirus,49100,coronavirus,2020-03-28
coronavirus argentina,40350,coronavirus,2020-03-28
coronavirus ultime notizie,39400,coronavirus,2020-03-28
coronavirus worldometer,37050,coronavirus,2020-03-28
worldometer coronavirus,36750,coronavirus,2020-03-28
us coronavirus cases,35250,coronavirus,2020-03-28
ultima hora coronavirus,30900,coronavirus,2020-03-28
coronavirus update india,26000,coronavirus,2020-03-28
coronavirus live map,24500,coronavirus,2020-03-28
coronavirus lombardia,23350,coronavirus,2020-03-28
coronavirus live update,22300,coronavirus,2020-03-28
coronavirus romania,21100,coronavirus,2020-03-28
coronavirus update uk,21050,coronavirus,2020-03-28
decreto coronavirus,20650,coronavirus,2020-03-28
coronavirus österreich,19650,coronavirus,2020-03-28
coronavirus colorado,17900,coronavirus,2020-03-28
coronavirus memes,17700,coronavirus,2020-03-28
coronavirus milano,17050,coronavirus,2020-03-28
virginia coronavirus,16950,coronavirus,2020-03-28
coronavirus tracker,16850,coronavirus,2020-03-28
coronavirus cases in india,16600,coronavirus,2020-03-28
coronavirus conseils,16300,coronavirus,2020-03-28
coronavirus,1175050,covid-19,2020-03-28
coronavirus covid-19,1169000,covid-19,2020-03-28
covid,644400,covid-19,2020-03-28
covid-19 cases,603750,covid-19,2020-03-28
covid 19,452650,covid-19,2020-03-28
corona,395750,covid-19,2020-03-28
covid-19 virus,386500,covid-19,2020-03-28
covid-19 symptoms,290450,covid-19,2020-03-28
covid-19 map,283950,covid-19,2020-03-28
covid-19 news,238050,covid-19,2020-03-28
covid-19 updates,225500,covid-19,2020-03-28
covid-19 update,212000,covid-19,2020-03-28
covid-19 live,203750,covid-19,2020-03-28
corona virus,198650,covid-19,2020-03-28
covid-19 us,186600,covid-19,2020-03-28
covid-19 who,173150,covid-19,2020-03-28
what is covid-19,170900,covid-19,2020-03-28
canada covid-19,168900,covid-19,2020-03-28
who,168150,covid-19,2020-03-28
covid-19 canada,165250,covid-19,2020-03-28
cdc covid-19,145600,covid-19,2020-03-28
cdc,140700,covid-19,2020-03-28
covid-19 test,139050,covid-19,2020-03-28
covid-19 world,132150,covid-19,2020-03-28
china covid-19,129200,covid-19,2020-03-28
covid,1482050,covid19,2020-03-28
covid 19,1260000,covid19,2020-03-28
coronavirus covid19,917000,covid19,2020-03-28
coronavirus,905050,covid19,2020-03-28
covid19 cases,514800,covid19,2020-03-28
corona,412650,covid19,2020-03-28
covid19 virus,384000,covid19,2020-03-28
covid19 news,274300,covid19,2020-03-28
symptoms covid19,231450,covid19,2020-03-28
covid19 update,229800,covid19,2020-03-28
covid19 map,225450,covid19,2020-03-28
corona virus,205550,covid19,2020-03-28
covid19 us,183000,covid19,2020-03-28
what is covid19,168150,covid19,2020-03-28
covid19 who,164550,covid19,2020-03-28
who,161750,covid19,2020-03-28
covid19 canada,153250,covid19,2020-03-28
italy covid19,150050,covid19,2020-03-28
covid19 test,145450,covid19,2020-03-28
italy,145300,covid19,2020-03-28
china covid19,143450,covid19,2020-03-28
uk covid19,133900,covid19,2020-03-28
covid-19,126550,covid19,2020-03-28
usa covid19,121450,covid19,2020-03-28
covid19 deaths,116200,covid19,2020-03-28
coronavirus sars-cov-2,705200,sars-cov-2,2020-03-28
coronavirus,691350,sars-cov-2,2020-03-28
sars-cov-2 covid-19,549050,sars-cov-2,2020-03-28
covid-19,482800,sars-cov-2,2020-03-28
sars,326400,sars-cov-2,2020-03-28
virus sars-cov-2,305300,sars-cov-2,2020-03-28
corona,261700,sars-cov-2,2020-03-28
covid 19,250950,sars-cov-2,2020-03-28
sars-cov-2 covid 19,245900,sars-cov-2,2020-03-28
who,118700,sars-cov-2,2020-03-28
corona virus,105000,sars-cov-2,2020-03-28
covid19,92650,sars-cov-2,2020-03-28
sars-cov-2 vs covid-19,92200,sars-cov-2,2020-03-28
what is sars-cov-2,90550,sars-cov-2,2020-03-28
sars cov 2,75800,sars-cov-2,2020-03-28
sars-cov-2 wiki,62400,sars-cov-2,2020-03-28
koronawirus,50900,sars-cov-2,2020-03-28
sars-cov,50500,sars-cov-2,2020-03-28
mers,50300,sars-cov-2,2020-03-28
sars-cov-2 symptoms,47500,sars-cov-2,2020-03-28
pubmed,25200,sars-cov-2,2020-03-28
sars-cov-2 vs cod-19,25150,sars-cov-2,2020-03-28
on the origin and continuing evolution of sars-cov-2,22300,sars-cov-2,2020-03-28
the proximal origin of sars-cov-2,22250,sars-cov-2,2020-03-28
sars2,19050,sars-cov-2,2020-03-28
coronavirus pandemic,665900,covid-19 pandemic,2020-03-28
coronavirus,648150,covid-19 pandemic,2020-03-28
covid-19 coronavirus pandemic,621900,covid-19 pandemic,2020-03-28
is covid-19 a pandemic,339100,covid-19 pandemic,2020-03-28
who pandemic,284050,covid-19 pandemic,2020-03-28
who,269600,covid-19 pandemic,2020-03-28
covid 19,221350,covid-19 pandemic,2020-03-28
covid 19 pandemic,221150,covid-19 pandemic,2020-03-28
epidemic,168100,covid-19 pandemic,2020-03-28
pandemic meaning,142000,covid-19 pandemic,2020-03-28
cdc,115650,covid-19 pandemic,2020-03-28
what is a pandemic,102200,covid-19 pandemic,2020-03-28
pandemic definition,82550,covid-19 pandemic,2020-03-28
covid-19 symptoms,75350,covid-19 pandemic,2020-03-28
coronavirus pandemic covid-19 live world map/count,52600,covid-19 pandemic,2020-03-28
covid-19 updates,49400,covid-19 pandemic,2020-03-28
covid-19 pandemic unemployment payment,39300,covid-19 pandemic,2020-03-28
covid-19 pandemic unemployment,36150,covid-19 pandemic,2020-03-28
pandemic vs endemic,29600,covid-19 pandemic,2020-03-28
who declared covid-19 pandemic,29550,covid-19 pandemic,2020-03-28
when was the last pandemic,19550,covid-19 pandemic,2020-03-28
coronavirus tips,107200,coronavirus,2020-03-29
covid 19,73150,coronavirus,2020-03-29
mapa coronavirus,52250,coronavirus,2020-03-29
wuhan coronavirus,48350,coronavirus,2020-03-29
ultime coronavirus,44600,coronavirus,2020-03-29
ultime notizie coronavirus,38800,coronavirus,2020-03-29
worldometer coronavirus,36800,coronavirus,2020-03-29
us coronavirus cases,35850,coronavirus,2020-03-29
coronavirus ireland,30300,coronavirus,2020-03-29
coronavirus ultima hora,29850,coronavirus,2020-03-29
coronavirus update india,26300,coronavirus,2020-03-29
coronavirus live map,24650,coronavirus,2020-03-29
nj coronavirus,24050,coronavirus,2020-03-29
coronavirus live update,23550,coronavirus,2020-03-29
john hopkins coronavirus,23550,coronavirus,2020-03-29
coronavirus romania,22000,coronavirus,2020-03-29
coronavirus update uk,21300,coronavirus,2020-03-29
decreto coronavirus,20500,coronavirus,2020-03-29
coronavirus roma,19150,coronavirus,2020-03-29
coronavirus memes,17600,coronavirus,2020-03-29
coronavirus cases in india,16500,coronavirus,2020-03-29
coronavirus georgia,15500,coronavirus,2020-03-29
coronavirus tipps,15250,coronavirus,2020-03-29
coronavirus en italia,15200,coronavirus,2020-03-29
tom hanks coronavirus,15000,coronavirus,2020-03-29
coronavirus covid-19,1161900,covid-19,2020-03-29
coronavirus,1160550,covid-19,2020-03-29
covid,668100,covid-19,2020-03-29
covid-19 cases,567800,covid-19,2020-03-29
covid 19,460450,covid-19,2020-03-29
virus covid-19,413350,covid-19,2020-03-29
corona,395350,covid-19,2020-03-29
covid-19 map,278100,covid-19,2020-03-29
covid-19 symptoms,272850,covid-19,2020-03-29
covid-19 news,254600,covid-19,2020-03-29
covid-19 updates,230500,covid-19,2020-03-29
covid-19 update,211650,covid-19,2020-03-29
covid-19 live,197950,covid-19,2020-03-29
corona virus,196100,covid-19,2020-03-29
who,180200,covid-19,2020-03-29
covid-19 us,179100,covid-19,2020-03-29
what is covid-19,178600,covid-19,2020-03-29
canada covid-19,174800,covid-19,2020-03-29
covid-19 who,169650,covid-19,2020-03-29
covid-19 cdc,140950,covid-19,2020-03-29
cdc,140100,covid-19,2020-03-29
covid-19 test,132750,covid-19,2020-03-29
italy covid-19,124950,covid-19,2020-03-29
italy,121100,covid-19,2020-03-29
covid-19 usa,120550,covid-19,2020-03-29
covid,1511250,covid19,2020-03-29
covid 19,1331950,covid19,2020-03-29
coronavirus,922600,covid19,2020-03-29
coronavirus covid19,920100,covid19,2020-03-29
covid19 cases,491600,covid19,2020-03-29
corona,384050,covid19,2020-03-29
virus covid19,372800,covid19,2020-03-29
covid19 news,257350,covid19,2020-03-29
covid19 symptoms,234950,covid19,2020-03-29
covid19 update,222200,covid19,2020-03-29
map covid19,214850,covid19,2020-03-29
corona virus covid19,214600,covid19,2020-03-29
corona virus,207200,covid19,2020-03-29
who,181150,covid19,2020-03-29
covid19 us,172200,covid19,2020-03-29
what is covid19,169050,covid19,2020-03-29
who covid19,164850,covid19,2020-03-29
canada covid19,160250,covid19,2020-03-29
covid19 italy,157650,covid19,2020-03-29
italy,155900,covid19,2020-03-29
test covid19,149600,covid19,2020-03-29
covid19 china,149300,covid19,2020-03-29
covid19 uk,131900,covid19,2020-03-29
covid-19,131150,covid19,2020-03-29
covid19 usa,126100,covid19,2020-03-29
coronavirus sars-cov-2,747650,sars-cov-2,2020-03-29
coronavirus,723400,sars-cov-2,2020-03-29
sars-cov-2 covid-19,538700,sars-cov-2,2020-03-29
covid-19,515100,sars-cov-2,2020-03-29
covid,396800,sars-cov-2,2020-03-29
sars-cov-2 virus,306750,sars-cov-2,2020-03-29
sars-cov-2 covid 19,286400,sars-cov-2,2020-03-29
covid 19,279300,sars-cov-2,2020-03-29
sars,263400,sars-cov-2,2020-03-29
corona,214400,sars-cov-2,2020-03-29
corona virus,111450,sars-cov-2,2020-03-29
covid19,97150,sars-cov-2,2020-03-29
sars-cov-2 vs covid-19,96700,sars-cov-2,2020-03-29
what is sars-cov-2,81200,sars-cov-2,2020-03-29
who,71900,sars-cov-2,2020-03-29
sars cov 2,61800,sars-cov-2,2020-03-29
sars-cov-2 wiki,53150,sars-cov-2,2020-03-29
sars-cov-2 transmission,40350,sars-cov-2,2020-03-29
koronawirus,34150,sars-cov-2,2020-03-29
koronavirus,24250,sars-cov-2,2020-03-29
the proximal origin of sars-cov-2,21500,sars-cov-2,2020-03-29
sars-cov-2 vs cod-19,19150,sars-cov-2,2020-03-29
pubmed,18550,sars-cov-2,2020-03-29
sars-cov-2 or covid-19,15400,sars-cov-2,2020-03-29
on the origin and continuing evolution of sars-cov-2,12400,sars-cov-2,2020-03-29
coronavirus,702400,covid-19 pandemic,2020-03-29
covid-19 coronavirus pandemic,667650,covid-19 pandemic,2020-03-29
coronavirus pandemic,651500,covid-19 pandemic,2020-03-29
who,294600,covid-19 pandemic,2020-03-29
is covid-19 a pandemic,294300,covid-19 pandemic,2020-03-29
who pandemic,268800,covid-19 pandemic,2020-03-29
covid 19,212850,covid-19 pandemic,2020-03-29
pandemic meaning,123650,covid-19 pandemic,2020-03-29
what is a pandemic,114550,covid-19 pandemic,2020-03-29
pandemic definition,105050,covid-19 pandemic,2020-03-29
epidemic vs pandemic,101100,covid-19 pandemic,2020-03-29
covid-19 pandemic plan,69000,covid-19 pandemic,2020-03-29
pandemic vs endemic,59150,covid-19 pandemic,2020-03-29
covid-19 symptoms,54700,covid-19 pandemic,2020-03-29
who declared covid-19 pandemic,42600,covid-19 pandemic,2020-03-29
coronavirus pandemic covid-19 live world map/count,42200,covid-19 pandemic,2020-03-29
world health organization pandemic,39050,covid-19 pandemic,2020-03-29
coronavirus update,35750,covid-19 pandemic,2020-03-29
covid-19 pandemic unemployment payment,29400,covid-19 pandemic,2020-03-29
coronavirus tips,104800,coronavirus,2020-03-29
covid 19,74650,coronavirus,2020-03-29
mapa coronavirus,53650,coronavirus,2020-03-29
wuhan coronavirus,49650,coronavirus,2020-03-29
coronavirus in usa,48900,coronavirus,2020-03-29
ultime coronavirus,44400,coronavirus,2020-03-29
ultime notizie coronavirus,38700,coronavirus,2020-03-29
worldometer coronavirus,37250,coronavirus,2020-03-29
us coronavirus cases,36200,coronavirus,2020-03-29
coronavirus stats,31350,coronavirus,2020-03-29
coronavirus ireland,30400,coronavirus,2020-03-29
coronavirus ultima hora,29800,coronavirus,2020-03-29
michigan coronavirus,26850,coronavirus,2020-03-29
coronavirus washington,26250,coronavirus,2020-03-29
coronavirus aktuell,26050,coronavirus,2020-03-29
coronavirus update india,25900,coronavirus,2020-03-29
coronavirus live map,24850,coronavirus,2020-03-29
coronavirus live update,24050,coronavirus,2020-03-29
nj coronavirus,24000,coronavirus,2020-03-29
john hopkins coronavirus,23200,coronavirus,2020-03-29
coronavirus romania,21700,coronavirus,2020-03-29
coronavirus update uk,21600,coronavirus,2020-03-29
decreto coronavirus,21000,coronavirus,2020-03-29
coronavirus roma,19600,coronavirus,2020-03-29
coronavirus news india,18700,coronavirus,2020-03-29
coronavirus covid-19,1161900,covid-19,2020-03-29
coronavirus,1160550,covid-19,2020-03-29
covid,668100,covid-19,2020-03-29
covid-19 cases,567800,covid-19,2020-03-29
covid 19,460450,covid-19,2020-03-29
virus covid-19,413350,covid-19,2020-03-29
corona,395350,covid-19,2020-03-29
covid-19 map,278100,covid-19,2020-03-29
covid-19 symptoms,272850,covid-19,2020-03-29
covid-19 news,254600,covid-19,2020-03-29
covid-19 updates,230500,covid-19,2020-03-29
covid-19 update,211650,covid-19,2020-03-29
covid-19 live,197950,covid-19,2020-03-29
corona virus,196100,covid-19,2020-03-29
who,180200,covid-19,2020-03-29
covid-19 us,179100,covid-19,2020-03-29
what is covid-19,178600,covid-19,2020-03-29
canada covid-19,174800,covid-19,2020-03-29
covid-19 who,169650,covid-19,2020-03-29
covid-19 cdc,140950,covid-19,2020-03-29
cdc,140100,covid-19,2020-03-29
covid-19 test,132750,covid-19,2020-03-29
italy covid-19,124950,covid-19,2020-03-29
italy,121100,covid-19,2020-03-29
covid-19 usa,120550,covid-19,2020-03-29
covid,1511250,covid19,2020-03-29
covid 19,1331950,covid19,2020-03-29
coronavirus,922600,covid19,2020-03-29
coronavirus covid19,920100,covid19,2020-03-29
covid19 cases,491600,covid19,2020-03-29
corona,384050,covid19,2020-03-29
virus covid19,372800,covid19,2020-03-29
covid19 news,257350,covid19,2020-03-29
covid19 symptoms,234950,covid19,2020-03-29
covid19 update,222200,covid19,2020-03-29
map covid19,214850,covid19,2020-03-29
corona virus covid19,214600,covid19,2020-03-29
corona virus,207200,covid19,2020-03-29
who,181150,covid19,2020-03-29
covid19 us,172200,covid19,2020-03-29
what is covid19,169050,covid19,2020-03-29
who covid19,164850,covid19,2020-03-29
canada covid19,160250,covid19,2020-03-29
covid19 italy,157650,covid19,2020-03-29
italy,155900,covid19,2020-03-29
test covid19,149600,covid19,2020-03-29
covid19 china,149300,covid19,2020-03-29
covid19 uk,131900,covid19,2020-03-29
covid-19,131150,covid19,2020-03-29
covid19 usa,126100,covid19,2020-03-29
coronavirus sars-cov-2,747650,sars-cov-2,2020-03-29
coronavirus,723400,sars-cov-2,2020-03-29
sars-cov-2 covid-19,538700,sars-cov-2,2020-03-29
covid-19,515100,sars-cov-2,2020-03-29
covid,396800,sars-cov-2,2020-03-29
sars-cov-2 virus,306750,sars-cov-2,2020-03-29
sars-cov-2 covid 19,286400,sars-cov-2,2020-03-29
covid 19,279300,sars-cov-2,2020-03-29
sars,263400,sars-cov-2,2020-03-29
corona,214400,sars-cov-2,2020-03-29
corona virus,111450,sars-cov-2,2020-03-29
covid19,97150,sars-cov-2,2020-03-29
sars-cov-2 vs covid-19,96700,sars-cov-2,2020-03-29
what is sars-cov-2,81200,sars-cov-2,2020-03-29
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sars cov 2,61800,sars-cov-2,2020-03-29
sars-cov-2 wiki,53150,sars-cov-2,2020-03-29
sars-cov-2 transmission,40350,sars-cov-2,2020-03-29
koronawirus,34150,sars-cov-2,2020-03-29
koronavirus,24250,sars-cov-2,2020-03-29
the proximal origin of sars-cov-2,21500,sars-cov-2,2020-03-29
sars-cov-2 vs cod-19,19150,sars-cov-2,2020-03-29
pubmed,18550,sars-cov-2,2020-03-29
sars-cov-2 or covid-19,15400,sars-cov-2,2020-03-29
on the origin and continuing evolution of sars-cov-2,12400,sars-cov-2,2020-03-29
coronavirus,702400,covid-19 pandemic,2020-03-29
covid-19 coronavirus pandemic,667650,covid-19 pandemic,2020-03-29
coronavirus pandemic,651500,covid-19 pandemic,2020-03-29
who,294600,covid-19 pandemic,2020-03-29
is covid-19 a pandemic,294300,covid-19 pandemic,2020-03-29
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covid 19,212850,covid-19 pandemic,2020-03-29
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covid-19 symptoms,54700,covid-19 pandemic,2020-03-29
who declared covid-19 pandemic,42600,covid-19 pandemic,2020-03-29
coronavirus pandemic covid-19 live world map/count,42200,covid-19 pandemic,2020-03-29
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coronavirus update,35750,covid-19 pandemic,2020-03-29
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covid 19,78400,coronavirus,2020-03-31
coronavirus mapa,54500,coronavirus,2020-03-31
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wuhan coronavirus,45600,coronavirus,2020-03-31
coronavirus worldometer,42500,coronavirus,2020-03-31
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nyc coronavirus,38850,coronavirus,2020-03-31
coronavirus ultime notizie,37400,coronavirus,2020-03-31
coronavirus ohio,32450,coronavirus,2020-03-31
coronavirus update india,30200,coronavirus,2020-03-31
coronavirus uk cases,28900,coronavirus,2020-03-31
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india coronavirus cases,27900,coronavirus,2020-03-31
covid-19,26950,coronavirus,2020-03-31
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spain coronavirus,24200,coronavirus,2020-03-31
coronavirus live map,23950,coronavirus,2020-03-31
coronavirus map live,23600,coronavirus,2020-03-31
coronavirus meme,22900,coronavirus,2020-03-31
coronavirus update uk,20850,coronavirus,2020-03-31
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coronavirus italien,20150,coronavirus,2020-03-31
coronavirus cases in india,19850,coronavirus,2020-03-31
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coronavirus,1063800,covid-19,2020-03-31
coronavirus covid-19,1047900,covid-19,2020-03-31
covid,637400,covid-19,2020-03-31
covid-19 cases,573500,covid-19,2020-03-31
covid 19,461000,covid-19,2020-03-31
covid-19 virus,367300,covid-19,2020-03-31
corona,354700,covid-19,2020-03-31
covid-19 map,272800,covid-19,2020-03-31
covid-19 symptoms,240850,covid-19,2020-03-31
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what is covid-19,161350,covid-19,2020-03-31
covid-19 who,160200,covid-19,2020-03-31
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covid-19 china,117250,covid-19,2020-03-31
covid,1474550,covid19,2020-03-31
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coronavirus covid19,880550,covid19,2020-03-31
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corona,401550,covid19,2020-03-31
corona covid19,378950,covid19,2020-03-31
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covid19 news,267250,covid19,2020-03-31
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coronavirus sars-cov-2,778000,sars-cov-2,2020-03-31
coronavirus,732150,sars-cov-2,2020-03-31
covid-19 sars-cov-2,622800,sars-cov-2,2020-03-31
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sars,359450,sars-cov-2,2020-03-31
virus sars-cov-2,325750,sars-cov-2,2020-03-31
covid 19,302350,sars-cov-2,2020-03-31
corona,279700,sars-cov-2,2020-03-31
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sars-cov-2 vs covid-19,142250,sars-cov-2,2020-03-31
what is sars-cov-2,105850,sars-cov-2,2020-03-31
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covid19,74900,sars-cov-2,2020-03-31
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sars-cov-2 rna,40300,sars-cov-2,2020-03-31
the proximal origin of sars-cov-2,34250,sars-cov-2,2020-03-31
covid-19 or sars-cov-2,31550,sars-cov-2,2020-03-31
sars-cov-2 vs cod-19,31400,sars-cov-2,2020-03-31
pubmed,25750,sars-cov-2,2020-03-31
sars-cov-1,25600,sars-cov-2,2020-03-31
sars-cov-2 cell entry depends on ace2 and tmprss2 and is blocked by a clinically proven protease inhibitor,22300,sars-cov-2,2020-03-31
coronavirus,765800,covid-19 pandemic,2020-03-31
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covid,646350,covid-19,2020-03-31
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sars cov 2,63750,sars-cov-2,2020-03-31
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sars-cov-2 rna,62850,sars-cov-2,2020-03-31
cdc,57000,sars-cov-2,2020-03-31
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101 the proximal origin of sars-cov-2 18800 sars-cov-2 2020-03-27
102 coronavirus 707350 covid-19 pandemic 2020-03-27
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128 us coronavirus cases 35250 coronavirus 2020-03-28
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161 what is covid-19 170900 covid-19 2020-03-28
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206 covid19 92650 sars-cov-2 2020-03-28
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211 koronawirus 50900 sars-cov-2 2020-03-28
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217 on the origin and continuing evolution of sars-cov-2 22300 sars-cov-2 2020-03-28
218 the proximal origin of sars-cov-2 22250 sars-cov-2 2020-03-28
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425 what is covid19 169050 covid19 2020-03-29
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447 sars-cov-2 vs covid-19 96700 sars-cov-2 2020-03-29
448 what is sars-cov-2 81200 sars-cov-2 2020-03-29
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453 koronawirus 34150 sars-cov-2 2020-03-29
454 koronavirus 24250 sars-cov-2 2020-03-29
455 the proximal origin of sars-cov-2 21500 sars-cov-2 2020-03-29
456 sars-cov-2 vs cod-19 19150 sars-cov-2 2020-03-29
457 pubmed 18550 sars-cov-2 2020-03-29
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459 on the origin and continuing evolution of sars-cov-2 12400 sars-cov-2 2020-03-29
460 coronavirus 702400 covid-19 pandemic 2020-03-29
461 covid-19 coronavirus pandemic 667650 covid-19 pandemic 2020-03-29
462 coronavirus pandemic 651500 covid-19 pandemic 2020-03-29
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464 is covid-19 a pandemic 294300 covid-19 pandemic 2020-03-29
465 who pandemic 268800 covid-19 pandemic 2020-03-29
466 covid 19 212850 covid-19 pandemic 2020-03-29
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468 what is a pandemic 114550 covid-19 pandemic 2020-03-29
469 pandemic definition 105050 covid-19 pandemic 2020-03-29
470 epidemic vs pandemic 101100 covid-19 pandemic 2020-03-29
471 covid-19 pandemic plan 69000 covid-19 pandemic 2020-03-29
472 pandemic vs endemic 59150 covid-19 pandemic 2020-03-29
473 covid-19 symptoms 54700 covid-19 pandemic 2020-03-29
474 who declared covid-19 pandemic 42600 covid-19 pandemic 2020-03-29
475 coronavirus pandemic covid-19 live world map/count 42200 covid-19 pandemic 2020-03-29
476 world health organization pandemic 39050 covid-19 pandemic 2020-03-29
477 coronavirus update 35750 covid-19 pandemic 2020-03-29
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480 coronavirus mapa 54500 coronavirus 2020-03-31
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488 coronavirus update india 30200 coronavirus 2020-03-31
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537 covid19 news 267250 covid19 2020-03-31
538 covid19 update 239700 covid19 2020-03-31
539 map covid19 213600 covid19 2020-03-31
540 covid19 symptoms 211000 covid19 2020-03-31
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578 sars-cov-2 cell entry depends on ace2 and tmprss2 and is blocked by a clinically proven protease inhibitor 22300 sars-cov-2 2020-03-31
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691 what is sars-cov-2 109950 sars-cov-2 2020-03-31
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695 sars cov 2 63750 sars-cov-2 2020-03-31
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698 cdc 57000 sars-cov-2 2020-03-31
699 koronawirus 40550 sars-cov-2 2020-03-31
700 sars-cov-2 genome 37550 sars-cov-2 2020-03-31
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702 the proximal origin of sars-cov-2 31800 sars-cov-2 2020-03-31
703 sars-cov-2 vs cod-19 28700 sars-cov-2 2020-03-31
704 coronavirus pandemic 738550 covid-19 pandemic 2020-03-31
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721 covid-19 pandemic unemployment payment 48650 covid-19 pandemic 2020-03-31
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723 coronavirus update 45650 covid-19 pandemic 2020-03-31
724 who declared covid-19 pandemic 43100 covid-19 pandemic 2020-03-31
725 pandemic vs endemic 34900 covid-19 pandemic 2020-03-31
726 when was the last pandemic 29400 covid-19 pandemic 2020-03-31
727 coronavirus pandemic covid-19 live world map count 21350 covid-19 pandemic 2020-03-31
728 psa safe grocery shopping in covid-19 pandemic – updated 15900 covid-19 pandemic 2020-03-31

728
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corona virus,14,covid19,2020-03-27
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what is covid19,12,covid19,2020-03-27
covid19 who,11,covid19,2020-03-27
who,11,covid19,2020-03-27
canada covid19,11,covid19,2020-03-27
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coronavirus,100,sars-cov-2,2020-03-27
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virus sars-cov-2,43,sars-cov-2,2020-03-27
corona,34,sars-cov-2,2020-03-27
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covid 19,30,sars-cov-2,2020-03-27
corona virus,17,sars-cov-2,2020-03-27
sars-cov-2 vs covid-19,15,sars-cov-2,2020-03-27
what is sars-cov-2,15,sars-cov-2,2020-03-27
sars cov 2,13,sars-cov-2,2020-03-27
sars-cov-2 wiki,8,sars-cov-2,2020-03-27
koronawirus,7,sars-cov-2,2020-03-27
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sars-cov,6,sars-cov-2,2020-03-27
sars-cov-1,6,sars-cov-2,2020-03-27
sars-cov-2 vs cod-19,4,sars-cov-2,2020-03-27
sars-cov-2 genome,3,sars-cov-2,2020-03-27
pubmed,3,sars-cov-2,2020-03-27
коронавирус,3,sars-cov-2,2020-03-27
sars-cov-2 or covid-19,3,sars-cov-2,2020-03-27
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who,41,covid-19 pandemic,2020-03-27
is covid-19 a pandemic,38,covid-19 pandemic,2020-03-27
who pandemic,37,covid-19 pandemic,2020-03-27
covid 19 pandemic,35,covid-19 pandemic,2020-03-27
pandemic meaning,20,covid-19 pandemic,2020-03-27
what is a pandemic,15,covid-19 pandemic,2020-03-27
pandemic vs epidemic,14,covid-19 pandemic,2020-03-27
cdc pandemic,14,covid-19 pandemic,2020-03-27
pandemic definition,13,covid-19 pandemic,2020-03-27
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covid-19 pandemic plan,8,covid-19 pandemic,2020-03-27
coronavirus pandemic covid-19 live world map/count,8,covid-19 pandemic,2020-03-27
who declared covid-19 pandemic,7,covid-19 pandemic,2020-03-27
covid-19 pandemic unemployment payment,7,covid-19 pandemic,2020-03-27
coronavirus update,5,covid-19 pandemic,2020-03-27
coronavirus update,100,coronavirus,2020-03-28
corona,97,coronavirus,2020-03-28
coronavirus symptoms,84,coronavirus,2020-03-28
news coronavirus,73,coronavirus,2020-03-28
coronavirus cases,70,coronavirus,2020-03-28
coronavirus uk,53,coronavirus,2020-03-28
corona virus,50,coronavirus,2020-03-28
coronavirus map,43,coronavirus,2020-03-28
china coronavirus,43,coronavirus,2020-03-28
el coronavirus,43,coronavirus,2020-03-28
coronavirus italia,40,coronavirus,2020-03-28
india coronavirus,39,coronavirus,2020-03-28
coronavirus france,38,coronavirus,2020-03-28
coronavirus italy,31,coronavirus,2020-03-28
sintomas coronavirus,31,coronavirus,2020-03-28
coronavirus sintomas,31,coronavirus,2020-03-28
coronavirus usa,30,coronavirus,2020-03-28
us coronavirus,29,coronavirus,2020-03-28
coronavirus españa,27,coronavirus,2020-03-28
symptoms of coronavirus,26,coronavirus,2020-03-28
coronavirus live,25,coronavirus,2020-03-28
coronavirus tips,23,coronavirus,2020-03-28
coronavirus in india,21,coronavirus,2020-03-28
casos coronavirus,21,coronavirus,2020-03-28
covid,21,coronavirus,2020-03-28
coronavirus,100,covid-19,2020-03-28
coronavirus covid-19,99,covid-19,2020-03-28
covid,55,covid-19,2020-03-28
covid-19 cases,51,covid-19,2020-03-28
covid 19,39,covid-19,2020-03-28
corona,34,covid-19,2020-03-28
covid-19 virus,33,covid-19,2020-03-28
covid-19 symptoms,25,covid-19,2020-03-28
covid-19 map,24,covid-19,2020-03-28
covid-19 news,20,covid-19,2020-03-28
covid-19 updates,19,covid-19,2020-03-28
covid-19 update,18,covid-19,2020-03-28
covid-19 live,17,covid-19,2020-03-28
corona virus,17,covid-19,2020-03-28
covid-19 us,16,covid-19,2020-03-28
covid-19 who,15,covid-19,2020-03-28
what is covid-19,15,covid-19,2020-03-28
canada covid-19,14,covid-19,2020-03-28
who,14,covid-19,2020-03-28
covid-19 canada,14,covid-19,2020-03-28
cdc covid-19,12,covid-19,2020-03-28
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covid-19 test,12,covid-19,2020-03-28
covid-19 world,11,covid-19,2020-03-28
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coronavirus covid19,62,covid19,2020-03-28
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covid19 cases,35,covid19,2020-03-28
corona,28,covid19,2020-03-28
covid19 virus,26,covid19,2020-03-28
covid19 news,19,covid19,2020-03-28
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covid19 map,15,covid19,2020-03-28
corona virus,14,covid19,2020-03-28
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what is covid19,11,covid19,2020-03-28
covid19 who,11,covid19,2020-03-28
who,11,covid19,2020-03-28
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china covid19,10,covid19,2020-03-28
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usa covid19,8,covid19,2020-03-28
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coronavirus sars-cov-2,100,sars-cov-2,2020-03-28
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virus sars-cov-2,43,sars-cov-2,2020-03-28
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covid 19,36,sars-cov-2,2020-03-28
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who,17,sars-cov-2,2020-03-28
corona virus,15,sars-cov-2,2020-03-28
covid19,13,sars-cov-2,2020-03-28
sars-cov-2 vs covid-19,13,sars-cov-2,2020-03-28
what is sars-cov-2,13,sars-cov-2,2020-03-28
sars cov 2,11,sars-cov-2,2020-03-28
sars-cov-2 wiki,9,sars-cov-2,2020-03-28
koronawirus,7,sars-cov-2,2020-03-28
sars-cov,7,sars-cov-2,2020-03-28
mers,7,sars-cov-2,2020-03-28
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pubmed,4,sars-cov-2,2020-03-28
sars-cov-2 vs cod-19,4,sars-cov-2,2020-03-28
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coronavirus pandemic,100,covid-19 pandemic,2020-03-28
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who pandemic,43,covid-19 pandemic,2020-03-28
who,40,covid-19 pandemic,2020-03-28
covid 19,33,covid-19 pandemic,2020-03-28
covid 19 pandemic,33,covid-19 pandemic,2020-03-28
epidemic,25,covid-19 pandemic,2020-03-28
pandemic meaning,21,covid-19 pandemic,2020-03-28
cdc,17,covid-19 pandemic,2020-03-28
what is a pandemic,15,covid-19 pandemic,2020-03-28
pandemic definition,12,covid-19 pandemic,2020-03-28
covid-19 symptoms,11,covid-19 pandemic,2020-03-28
coronavirus pandemic covid-19 live world map/count,8,covid-19 pandemic,2020-03-28
covid-19 updates,7,covid-19 pandemic,2020-03-28
covid-19 pandemic unemployment payment,6,covid-19 pandemic,2020-03-28
covid-19 pandemic unemployment,5,covid-19 pandemic,2020-03-28
pandemic vs endemic,4,covid-19 pandemic,2020-03-28
who declared covid-19 pandemic,4,covid-19 pandemic,2020-03-28
when was the last pandemic,3,covid-19 pandemic,2020-03-28
coronavirus update,100,coronavirus,2020-03-29
corona,93,coronavirus,2020-03-29
symptoms,85,coronavirus,2020-03-29
coronavirus symptoms,82,coronavirus,2020-03-29
news coronavirus,71,coronavirus,2020-03-29
coronavirus cases,66,coronavirus,2020-03-29
uk coronavirus,52,coronavirus,2020-03-29
corona virus,49,coronavirus,2020-03-29
coronavirus map,42,coronavirus,2020-03-29
coronavirus china,40,coronavirus,2020-03-29
italia coronavirus,38,coronavirus,2020-03-29
india coronavirus,37,coronavirus,2020-03-29
coronavirus france,35,coronavirus,2020-03-29
coronavirus sintomas,30,coronavirus,2020-03-29
italy,29,coronavirus,2020-03-29
coronavirus us,28,coronavirus,2020-03-29
coronavirus italy,28,coronavirus,2020-03-29
coronavirus usa,28,coronavirus,2020-03-29
coronavirus españa,26,coronavirus,2020-03-29
symptoms of coronavirus,26,coronavirus,2020-03-29
coronavirus live,25,coronavirus,2020-03-29
coronavirus tips,22,coronavirus,2020-03-29
coronavirus in india,20,coronavirus,2020-03-29
what is coronavirus,20,coronavirus,2020-03-29
coronavirus latest,19,coronavirus,2020-03-29
coronavirus covid-19,100,covid-19,2020-03-29
coronavirus,100,covid-19,2020-03-29
covid,58,covid-19,2020-03-29
covid-19 cases,49,covid-19,2020-03-29
covid 19,40,covid-19,2020-03-29
virus covid-19,36,covid-19,2020-03-29
corona,34,covid-19,2020-03-29
covid-19 map,24,covid-19,2020-03-29
covid-19 symptoms,23,covid-19,2020-03-29
covid-19 news,22,covid-19,2020-03-29
covid-19 updates,20,covid-19,2020-03-29
covid-19 update,18,covid-19,2020-03-29
covid-19 live,17,covid-19,2020-03-29
corona virus,17,covid-19,2020-03-29
who,16,covid-19,2020-03-29
covid-19 us,15,covid-19,2020-03-29
what is covid-19,15,covid-19,2020-03-29
canada covid-19,15,covid-19,2020-03-29
covid-19 who,15,covid-19,2020-03-29
covid-19 cdc,12,covid-19,2020-03-29
cdc,12,covid-19,2020-03-29
covid-19 test,11,covid-19,2020-03-29
italy covid-19,11,covid-19,2020-03-29
italy,10,covid-19,2020-03-29
covid-19 usa,10,covid-19,2020-03-29
covid,100,covid19,2020-03-29
covid 19,88,covid19,2020-03-29
coronavirus,61,covid19,2020-03-29
coronavirus covid19,61,covid19,2020-03-29
covid19 cases,33,covid19,2020-03-29
corona,25,covid19,2020-03-29
virus covid19,25,covid19,2020-03-29
covid19 news,17,covid19,2020-03-29
covid19 symptoms,16,covid19,2020-03-29
covid19 update,15,covid19,2020-03-29
map covid19,14,covid19,2020-03-29
corona virus covid19,14,covid19,2020-03-29
corona virus,14,covid19,2020-03-29
who,12,covid19,2020-03-29
covid19 us,11,covid19,2020-03-29
what is covid19,11,covid19,2020-03-29
who covid19,11,covid19,2020-03-29
canada covid19,11,covid19,2020-03-29
covid19 italy,10,covid19,2020-03-29
italy,10,covid19,2020-03-29
test covid19,10,covid19,2020-03-29
covid19 china,10,covid19,2020-03-29
covid19 uk,9,covid19,2020-03-29
covid-19,9,covid19,2020-03-29
covid19 usa,8,covid19,2020-03-29
coronavirus sars-cov-2,100,sars-cov-2,2020-03-29
coronavirus,97,sars-cov-2,2020-03-29
sars-cov-2 covid-19,72,sars-cov-2,2020-03-29
covid-19,69,sars-cov-2,2020-03-29
covid,53,sars-cov-2,2020-03-29
sars-cov-2 virus,41,sars-cov-2,2020-03-29
sars-cov-2 covid 19,38,sars-cov-2,2020-03-29
covid 19,37,sars-cov-2,2020-03-29
sars,35,sars-cov-2,2020-03-29
corona,29,sars-cov-2,2020-03-29
corona virus,15,sars-cov-2,2020-03-29
covid19,13,sars-cov-2,2020-03-29
sars-cov-2 vs covid-19,13,sars-cov-2,2020-03-29
what is sars-cov-2,11,sars-cov-2,2020-03-29
who,10,sars-cov-2,2020-03-29
sars cov 2,8,sars-cov-2,2020-03-29
sars-cov-2 wiki,7,sars-cov-2,2020-03-29
sars-cov-2 transmission,5,sars-cov-2,2020-03-29
koronawirus,5,sars-cov-2,2020-03-29
koronavirus,3,sars-cov-2,2020-03-29
the proximal origin of sars-cov-2,3,sars-cov-2,2020-03-29
sars-cov-2 vs cod-19,3,sars-cov-2,2020-03-29
pubmed,2,sars-cov-2,2020-03-29
sars-cov-2 or covid-19,2,sars-cov-2,2020-03-29
on the origin and continuing evolution of sars-cov-2,2,sars-cov-2,2020-03-29
coronavirus,100,covid-19 pandemic,2020-03-29
covid-19 coronavirus pandemic,95,covid-19 pandemic,2020-03-29
coronavirus pandemic,93,covid-19 pandemic,2020-03-29
who,42,covid-19 pandemic,2020-03-29
is covid-19 a pandemic,42,covid-19 pandemic,2020-03-29
who pandemic,38,covid-19 pandemic,2020-03-29
covid 19,30,covid-19 pandemic,2020-03-29
pandemic meaning,18,covid-19 pandemic,2020-03-29
what is a pandemic,16,covid-19 pandemic,2020-03-29
pandemic definition,15,covid-19 pandemic,2020-03-29
epidemic vs pandemic,14,covid-19 pandemic,2020-03-29
covid-19 pandemic plan,10,covid-19 pandemic,2020-03-29
pandemic vs endemic,8,covid-19 pandemic,2020-03-29
covid-19 symptoms,8,covid-19 pandemic,2020-03-29
who declared covid-19 pandemic,6,covid-19 pandemic,2020-03-29
coronavirus pandemic covid-19 live world map/count,6,covid-19 pandemic,2020-03-29
world health organization pandemic,6,covid-19 pandemic,2020-03-29
coronavirus update,5,covid-19 pandemic,2020-03-29
covid-19 pandemic unemployment payment,4,covid-19 pandemic,2020-03-29
coronavirus update,100,coronavirus,2020-03-29
corona,94,coronavirus,2020-03-29
symptoms,84,coronavirus,2020-03-29
coronavirus symptoms,82,coronavirus,2020-03-29
news coronavirus,71,coronavirus,2020-03-29
coronavirus cases,67,coronavirus,2020-03-29
uk coronavirus,53,coronavirus,2020-03-29
corona virus,50,coronavirus,2020-03-29
coronavirus map,42,coronavirus,2020-03-29
coronavirus china,40,coronavirus,2020-03-29
coronavirus italia,38,coronavirus,2020-03-29
italia coronavirus,38,coronavirus,2020-03-29
india coronavirus,37,coronavirus,2020-03-29
coronavirus france,34,coronavirus,2020-03-29
coronavirus sintomas,31,coronavirus,2020-03-29
italy,29,coronavirus,2020-03-29
coronavirus us,29,coronavirus,2020-03-29
coronavirus italy,28,coronavirus,2020-03-29
coronavirus usa,28,coronavirus,2020-03-29
symptoms of coronavirus,26,coronavirus,2020-03-29
coronavirus españa,26,coronavirus,2020-03-29
coronavirus live,25,coronavirus,2020-03-29
coronavirus tips,21,coronavirus,2020-03-29
coronavirus in india,20,coronavirus,2020-03-29
what is coronavirus,19,coronavirus,2020-03-29
coronavirus covid-19,100,covid-19,2020-03-29
coronavirus,100,covid-19,2020-03-29
covid,58,covid-19,2020-03-29
covid-19 cases,49,covid-19,2020-03-29
covid 19,40,covid-19,2020-03-29
virus covid-19,36,covid-19,2020-03-29
corona,34,covid-19,2020-03-29
covid-19 map,24,covid-19,2020-03-29
covid-19 symptoms,23,covid-19,2020-03-29
covid-19 news,22,covid-19,2020-03-29
covid-19 updates,20,covid-19,2020-03-29
covid-19 update,18,covid-19,2020-03-29
covid-19 live,17,covid-19,2020-03-29
corona virus,17,covid-19,2020-03-29
who,16,covid-19,2020-03-29
covid-19 us,15,covid-19,2020-03-29
what is covid-19,15,covid-19,2020-03-29
canada covid-19,15,covid-19,2020-03-29
covid-19 who,15,covid-19,2020-03-29
covid-19 cdc,12,covid-19,2020-03-29
cdc,12,covid-19,2020-03-29
covid-19 test,11,covid-19,2020-03-29
italy covid-19,11,covid-19,2020-03-29
italy,10,covid-19,2020-03-29
covid-19 usa,10,covid-19,2020-03-29
covid,100,covid19,2020-03-29
covid 19,88,covid19,2020-03-29
coronavirus,61,covid19,2020-03-29
coronavirus covid19,61,covid19,2020-03-29
covid19 cases,33,covid19,2020-03-29
corona,25,covid19,2020-03-29
virus covid19,25,covid19,2020-03-29
covid19 news,17,covid19,2020-03-29
covid19 symptoms,16,covid19,2020-03-29
covid19 update,15,covid19,2020-03-29
map covid19,14,covid19,2020-03-29
corona virus covid19,14,covid19,2020-03-29
corona virus,14,covid19,2020-03-29
who,12,covid19,2020-03-29
covid19 us,11,covid19,2020-03-29
what is covid19,11,covid19,2020-03-29
who covid19,11,covid19,2020-03-29
canada covid19,11,covid19,2020-03-29
covid19 italy,10,covid19,2020-03-29
italy,10,covid19,2020-03-29
test covid19,10,covid19,2020-03-29
covid19 china,10,covid19,2020-03-29
covid19 uk,9,covid19,2020-03-29
covid-19,9,covid19,2020-03-29
covid19 usa,8,covid19,2020-03-29
coronavirus sars-cov-2,100,sars-cov-2,2020-03-29
coronavirus,97,sars-cov-2,2020-03-29
sars-cov-2 covid-19,72,sars-cov-2,2020-03-29
covid-19,69,sars-cov-2,2020-03-29
covid,53,sars-cov-2,2020-03-29
sars-cov-2 virus,41,sars-cov-2,2020-03-29
sars-cov-2 covid 19,38,sars-cov-2,2020-03-29
covid 19,37,sars-cov-2,2020-03-29
sars,35,sars-cov-2,2020-03-29
corona,29,sars-cov-2,2020-03-29
corona virus,15,sars-cov-2,2020-03-29
covid19,13,sars-cov-2,2020-03-29
sars-cov-2 vs covid-19,13,sars-cov-2,2020-03-29
what is sars-cov-2,11,sars-cov-2,2020-03-29
who,10,sars-cov-2,2020-03-29
sars cov 2,8,sars-cov-2,2020-03-29
sars-cov-2 wiki,7,sars-cov-2,2020-03-29
sars-cov-2 transmission,5,sars-cov-2,2020-03-29
koronawirus,5,sars-cov-2,2020-03-29
koronavirus,3,sars-cov-2,2020-03-29
the proximal origin of sars-cov-2,3,sars-cov-2,2020-03-29
sars-cov-2 vs cod-19,3,sars-cov-2,2020-03-29
pubmed,2,sars-cov-2,2020-03-29
sars-cov-2 or covid-19,2,sars-cov-2,2020-03-29
on the origin and continuing evolution of sars-cov-2,2,sars-cov-2,2020-03-29
coronavirus,100,covid-19 pandemic,2020-03-29
covid-19 coronavirus pandemic,95,covid-19 pandemic,2020-03-29
coronavirus pandemic,93,covid-19 pandemic,2020-03-29
who,42,covid-19 pandemic,2020-03-29
is covid-19 a pandemic,42,covid-19 pandemic,2020-03-29
who pandemic,38,covid-19 pandemic,2020-03-29
covid 19,30,covid-19 pandemic,2020-03-29
pandemic meaning,18,covid-19 pandemic,2020-03-29
what is a pandemic,16,covid-19 pandemic,2020-03-29
pandemic definition,15,covid-19 pandemic,2020-03-29
epidemic vs pandemic,14,covid-19 pandemic,2020-03-29
covid-19 pandemic plan,10,covid-19 pandemic,2020-03-29
pandemic vs endemic,8,covid-19 pandemic,2020-03-29
covid-19 symptoms,8,covid-19 pandemic,2020-03-29
who declared covid-19 pandemic,6,covid-19 pandemic,2020-03-29
coronavirus pandemic covid-19 live world map/count,6,covid-19 pandemic,2020-03-29
world health organization pandemic,6,covid-19 pandemic,2020-03-29
coronavirus update,5,covid-19 pandemic,2020-03-29
covid-19 pandemic unemployment payment,4,covid-19 pandemic,2020-03-29
coronavirus update,100,coronavirus,2020-03-31
corona,89,coronavirus,2020-03-31
coronavirus symptoms,82,coronavirus,2020-03-31
coronavirus news,72,coronavirus,2020-03-31
coronavirus cases,70,coronavirus,2020-03-31
coronavirus uk,51,coronavirus,2020-03-31
corona virus,47,coronavirus,2020-03-31
coronavirus india,43,coronavirus,2020-03-31
coronavirus map,41,coronavirus,2020-03-31
coronavirus china,39,coronavirus,2020-03-31
italia coronavirus,38,coronavirus,2020-03-31
coronavirus france,34,coronavirus,2020-03-31
coronavirus italy,31,coronavirus,2020-03-31
sintomas coronavirus,30,coronavirus,2020-03-31
usa coronavirus,29,coronavirus,2020-03-31
coronavirus us,28,coronavirus,2020-03-31
coronavirus españa,27,coronavirus,2020-03-31
symptoms of coronavirus,25,coronavirus,2020-03-31
coronavirus live,24,coronavirus,2020-03-31
coronavirus death,23,coronavirus,2020-03-31
coronavirus in india,22,coronavirus,2020-03-31
coronavirus tips,21,coronavirus,2020-03-31
coronavirus latest,18,coronavirus,2020-03-31
what is coronavirus,18,coronavirus,2020-03-31
coronavirus brasil,18,coronavirus,2020-03-31
coronavirus,100,covid-19,2020-03-31
coronavirus covid-19,99,covid-19,2020-03-31
covid,60,covid-19,2020-03-31
covid-19 cases,54,covid-19,2020-03-31
covid 19,43,covid-19,2020-03-31
covid-19 virus,35,covid-19,2020-03-31
corona,33,covid-19,2020-03-31
covid-19 map,26,covid-19,2020-03-31
covid-19 symptoms,23,covid-19,2020-03-31
covid-19 updates,22,covid-19,2020-03-31
covid-19 news,21,covid-19,2020-03-31
covid-19 live,19,covid-19,2020-03-31
covid-19 update,19,covid-19,2020-03-31
corona virus,17,covid-19,2020-03-31
us covid-19,16,covid-19,2020-03-31
covid-19 canada,15,covid-19,2020-03-31
what is covid-19,15,covid-19,2020-03-31
covid-19 who,15,covid-19,2020-03-31
who,15,covid-19,2020-03-31
covid-19 world,13,covid-19,2020-03-31
covid-19 test,12,covid-19,2020-03-31
usa covid-19,12,covid-19,2020-03-31
covid-19 cdc,11,covid-19,2020-03-31
cdc,11,covid-19,2020-03-31
covid-19 china,11,covid-19,2020-03-31
covid,100,covid19,2020-03-31
covid 19,84,covid19,2020-03-31
coronavirus covid19,60,covid19,2020-03-31
coronavirus,59,covid19,2020-03-31
covid19 cases,37,covid19,2020-03-31
corona,27,covid19,2020-03-31
corona covid19,26,covid19,2020-03-31
virus covid19,25,covid19,2020-03-31
covid19 news,18,covid19,2020-03-31
covid19 update,16,covid19,2020-03-31
map covid19,14,covid19,2020-03-31
covid19 symptoms,14,covid19,2020-03-31
corona virus,14,covid19,2020-03-31
corona virus covid19,13,covid19,2020-03-31
covid19 us,12,covid19,2020-03-31
covid19 who,11,covid19,2020-03-31
who,11,covid19,2020-03-31
what is covid19,11,covid19,2020-03-31
test covid19,11,covid19,2020-03-31
covid19 canada,10,covid19,2020-03-31
italy,10,covid19,2020-03-31
covid19 italy,10,covid19,2020-03-31
covid19 india,10,covid19,2020-03-31
china covid19,9,covid19,2020-03-31
covid19 china,9,covid19,2020-03-31
coronavirus sars-cov-2,100,sars-cov-2,2020-03-31
coronavirus,94,sars-cov-2,2020-03-31
covid-19 sars-cov-2,80,sars-cov-2,2020-03-31
covid-19,72,sars-cov-2,2020-03-31
covid,50,sars-cov-2,2020-03-31
sars,46,sars-cov-2,2020-03-31
virus sars-cov-2,42,sars-cov-2,2020-03-31
covid 19,39,sars-cov-2,2020-03-31
corona,36,sars-cov-2,2020-03-31
corona virus,19,sars-cov-2,2020-03-31
sars-cov-2 vs covid-19,18,sars-cov-2,2020-03-31
what is sars-cov-2,14,sars-cov-2,2020-03-31
sars-cov,11,sars-cov-2,2020-03-31
sars cov 2,10,sars-cov-2,2020-03-31
sars-cov-2 wiki,10,sars-cov-2,2020-03-31
covid19,10,sars-cov-2,2020-03-31
koronawirus,9,sars-cov-2,2020-03-31
cdc,8,sars-cov-2,2020-03-31
sars-cov-2 rna,5,sars-cov-2,2020-03-31
the proximal origin of sars-cov-2,4,sars-cov-2,2020-03-31
covid-19 or sars-cov-2,4,sars-cov-2,2020-03-31
sars-cov-2 vs cod-19,4,sars-cov-2,2020-03-31
pubmed,3,sars-cov-2,2020-03-31
sars-cov-1,3,sars-cov-2,2020-03-31
sars-cov-2 cell entry depends on ace2 and tmprss2 and is blocked by a clinically proven protease inhibitor,3,sars-cov-2,2020-03-31
coronavirus,100,covid-19 pandemic,2020-03-31
covid-19 coronavirus pandemic,97,covid-19 pandemic,2020-03-31
coronavirus pandemic,97,covid-19 pandemic,2020-03-31
who pandemic,41,covid-19 pandemic,2020-03-31
is covid-19 a pandemic,40,covid-19 pandemic,2020-03-31
who covid-19 pandemic,40,covid-19 pandemic,2020-03-31
covid 19,32,covid-19 pandemic,2020-03-31
covid 19 pandemic,29,covid-19 pandemic,2020-03-31
epidemic,24,covid-19 pandemic,2020-03-31
pandemic meaning,21,covid-19 pandemic,2020-03-31
what is a pandemic,17,covid-19 pandemic,2020-03-31
pandemic definition,16,covid-19 pandemic,2020-03-31
covid-19 symptoms,11,covid-19 pandemic,2020-03-31
covid-19 pandemic plan,10,covid-19 pandemic,2020-03-31
pandemic define,8,covid-19 pandemic,2020-03-31
covid-19 live world map/count,7,covid-19 pandemic,2020-03-31
coronavirus pandemic covid-19 live world map/count,7,covid-19 pandemic,2020-03-31
covid19,7,covid-19 pandemic,2020-03-31
covid-19 pandemic unemployment payment,7,covid-19 pandemic,2020-03-31
covid-19 updates,6,covid-19 pandemic,2020-03-31
pandemic vs endemic,5,covid-19 pandemic,2020-03-31
coronavirus update,5,covid-19 pandemic,2020-03-31
when was the last pandemic,3,covid-19 pandemic,2020-03-31
who declared covid-19 pandemic,3,covid-19 pandemic,2020-03-31
when was covid-19 declared a pandemic,1,covid-19 pandemic,2020-03-31
coronavirus update,100,coronavirus,2020-03-31
corona,90,coronavirus,2020-03-31
coronavirus symptoms,73,coronavirus,2020-03-31
coronavirus cases,71,coronavirus,2020-03-31
coronavirus news,69,coronavirus,2020-03-31
coronavirus uk,51,coronavirus,2020-03-31
corona virus,46,coronavirus,2020-03-31
india coronavirus,45,coronavirus,2020-03-31
coronavirus map,41,coronavirus,2020-03-31
coronavirus italia,38,coronavirus,2020-03-31
coronavirus china,36,coronavirus,2020-03-31
france coronavirus,33,coronavirus,2020-03-31
usa coronavirus,29,coronavirus,2020-03-31
italy,28,coronavirus,2020-03-31
coronavirus italy,28,coronavirus,2020-03-31
coronavirus us,28,coronavirus,2020-03-31
coronavirus españa,26,coronavirus,2020-03-31
sintomas coronavirus,26,coronavirus,2020-03-31
coronavirus live,25,coronavirus,2020-03-31
symptoms of coronavirus,23,coronavirus,2020-03-31
coronavirus in india,22,coronavirus,2020-03-31
coronavirus tips,21,coronavirus,2020-03-31
coronavirus latest,19,coronavirus,2020-03-31
coronavirus brasil,18,coronavirus,2020-03-31
what is coronavirus,18,coronavirus,2020-03-31
coronavirus,100,covid-19,2020-03-31
coronavirus covid-19,100,covid-19,2020-03-31
covid,63,covid-19,2020-03-31
covid-19 cases,56,covid-19,2020-03-31
covid 19,45,covid-19,2020-03-31
covid-19 virus,35,covid-19,2020-03-31
corona,35,covid-19,2020-03-31
covid-19 map,26,covid-19,2020-03-31
covid-19 symptoms,25,covid-19,2020-03-31
covid-19 updates,22,covid-19,2020-03-31
covid-19 news,21,covid-19,2020-03-31
covid-19 live,20,covid-19,2020-03-31
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1 query value term date
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34 covid-19 map 22 covid-19 2020-03-27
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56 covid19 cases 35 covid19 2020-03-27
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58 corona covid19 27 covid19 2020-03-27
59 covid19 virus 26 covid19 2020-03-27
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62 symptoms covid19 15 covid19 2020-03-27
63 covid19 symptoms 15 covid19 2020-03-27
64 covid19 map 15 covid19 2020-03-27
65 corona virus 14 covid19 2020-03-27
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87 sars-cov-2 vs covid-19 15 sars-cov-2 2020-03-27
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91 koronawirus 7 sars-cov-2 2020-03-27
92 cdc 6 sars-cov-2 2020-03-27
93 sars-cov 6 sars-cov-2 2020-03-27
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96 sars-cov-2 genome 3 sars-cov-2 2020-03-27
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98 коронавирус 3 sars-cov-2 2020-03-27
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382 coronavirus tips 21 coronavirus 2020-03-29
383 coronavirus in india 20 coronavirus 2020-03-29
384 what is coronavirus 19 coronavirus 2020-03-29
385 coronavirus covid-19 100 covid-19 2020-03-29
386 coronavirus 100 covid-19 2020-03-29
387 covid 58 covid-19 2020-03-29
388 covid-19 cases 49 covid-19 2020-03-29
389 covid 19 40 covid-19 2020-03-29
390 virus covid-19 36 covid-19 2020-03-29
391 corona 34 covid-19 2020-03-29
392 covid-19 map 24 covid-19 2020-03-29
393 covid-19 symptoms 23 covid-19 2020-03-29
394 covid-19 news 22 covid-19 2020-03-29
395 covid-19 updates 20 covid-19 2020-03-29
396 covid-19 update 18 covid-19 2020-03-29
397 covid-19 live 17 covid-19 2020-03-29
398 corona virus 17 covid-19 2020-03-29
399 who 16 covid-19 2020-03-29
400 covid-19 us 15 covid-19 2020-03-29
401 what is covid-19 15 covid-19 2020-03-29
402 canada covid-19 15 covid-19 2020-03-29
403 covid-19 who 15 covid-19 2020-03-29
404 covid-19 cdc 12 covid-19 2020-03-29
405 cdc 12 covid-19 2020-03-29
406 covid-19 test 11 covid-19 2020-03-29
407 italy covid-19 11 covid-19 2020-03-29
408 italy 10 covid-19 2020-03-29
409 covid-19 usa 10 covid-19 2020-03-29
410 covid 100 covid19 2020-03-29
411 covid 19 88 covid19 2020-03-29
412 coronavirus 61 covid19 2020-03-29
413 coronavirus covid19 61 covid19 2020-03-29
414 covid19 cases 33 covid19 2020-03-29
415 corona 25 covid19 2020-03-29
416 virus covid19 25 covid19 2020-03-29
417 covid19 news 17 covid19 2020-03-29
418 covid19 symptoms 16 covid19 2020-03-29
419 covid19 update 15 covid19 2020-03-29
420 map covid19 14 covid19 2020-03-29
421 corona virus covid19 14 covid19 2020-03-29
422 corona virus 14 covid19 2020-03-29
423 who 12 covid19 2020-03-29
424 covid19 us 11 covid19 2020-03-29
425 what is covid19 11 covid19 2020-03-29
426 who covid19 11 covid19 2020-03-29
427 canada covid19 11 covid19 2020-03-29
428 covid19 italy 10 covid19 2020-03-29
429 italy 10 covid19 2020-03-29
430 test covid19 10 covid19 2020-03-29
431 covid19 china 10 covid19 2020-03-29
432 covid19 uk 9 covid19 2020-03-29
433 covid-19 9 covid19 2020-03-29
434 covid19 usa 8 covid19 2020-03-29
435 coronavirus sars-cov-2 100 sars-cov-2 2020-03-29
436 coronavirus 97 sars-cov-2 2020-03-29
437 sars-cov-2 covid-19 72 sars-cov-2 2020-03-29
438 covid-19 69 sars-cov-2 2020-03-29
439 covid 53 sars-cov-2 2020-03-29
440 sars-cov-2 virus 41 sars-cov-2 2020-03-29
441 sars-cov-2 covid 19 38 sars-cov-2 2020-03-29
442 covid 19 37 sars-cov-2 2020-03-29
443 sars 35 sars-cov-2 2020-03-29
444 corona 29 sars-cov-2 2020-03-29
445 corona virus 15 sars-cov-2 2020-03-29
446 covid19 13 sars-cov-2 2020-03-29
447 sars-cov-2 vs covid-19 13 sars-cov-2 2020-03-29
448 what is sars-cov-2 11 sars-cov-2 2020-03-29
449 who 10 sars-cov-2 2020-03-29
450 sars cov 2 8 sars-cov-2 2020-03-29
451 sars-cov-2 wiki 7 sars-cov-2 2020-03-29
452 sars-cov-2 transmission 5 sars-cov-2 2020-03-29
453 koronawirus 5 sars-cov-2 2020-03-29
454 koronavirus 3 sars-cov-2 2020-03-29
455 the proximal origin of sars-cov-2 3 sars-cov-2 2020-03-29
456 sars-cov-2 vs cod-19 3 sars-cov-2 2020-03-29
457 pubmed 2 sars-cov-2 2020-03-29
458 sars-cov-2 or covid-19 2 sars-cov-2 2020-03-29
459 on the origin and continuing evolution of sars-cov-2 2 sars-cov-2 2020-03-29
460 coronavirus 100 covid-19 pandemic 2020-03-29
461 covid-19 coronavirus pandemic 95 covid-19 pandemic 2020-03-29
462 coronavirus pandemic 93 covid-19 pandemic 2020-03-29
463 who 42 covid-19 pandemic 2020-03-29
464 is covid-19 a pandemic 42 covid-19 pandemic 2020-03-29
465 who pandemic 38 covid-19 pandemic 2020-03-29
466 covid 19 30 covid-19 pandemic 2020-03-29
467 pandemic meaning 18 covid-19 pandemic 2020-03-29
468 what is a pandemic 16 covid-19 pandemic 2020-03-29
469 pandemic definition 15 covid-19 pandemic 2020-03-29
470 epidemic vs pandemic 14 covid-19 pandemic 2020-03-29
471 covid-19 pandemic plan 10 covid-19 pandemic 2020-03-29
472 pandemic vs endemic 8 covid-19 pandemic 2020-03-29
473 covid-19 symptoms 8 covid-19 pandemic 2020-03-29
474 who declared covid-19 pandemic 6 covid-19 pandemic 2020-03-29
475 coronavirus pandemic covid-19 live world map/count 6 covid-19 pandemic 2020-03-29
476 world health organization pandemic 6 covid-19 pandemic 2020-03-29
477 coronavirus update 5 covid-19 pandemic 2020-03-29
478 covid-19 pandemic unemployment payment 4 covid-19 pandemic 2020-03-29
479 coronavirus update 100 coronavirus 2020-03-31
480 corona 89 coronavirus 2020-03-31
481 coronavirus symptoms 82 coronavirus 2020-03-31
482 coronavirus news 72 coronavirus 2020-03-31
483 coronavirus cases 70 coronavirus 2020-03-31
484 coronavirus uk 51 coronavirus 2020-03-31
485 corona virus 47 coronavirus 2020-03-31
486 coronavirus india 43 coronavirus 2020-03-31
487 coronavirus map 41 coronavirus 2020-03-31
488 coronavirus china 39 coronavirus 2020-03-31
489 italia coronavirus 38 coronavirus 2020-03-31
490 coronavirus france 34 coronavirus 2020-03-31
491 coronavirus italy 31 coronavirus 2020-03-31
492 sintomas coronavirus 30 coronavirus 2020-03-31
493 usa coronavirus 29 coronavirus 2020-03-31
494 coronavirus us 28 coronavirus 2020-03-31
495 coronavirus españa 27 coronavirus 2020-03-31
496 symptoms of coronavirus 25 coronavirus 2020-03-31
497 coronavirus live 24 coronavirus 2020-03-31
498 coronavirus death 23 coronavirus 2020-03-31
499 coronavirus in india 22 coronavirus 2020-03-31
500 coronavirus tips 21 coronavirus 2020-03-31
501 coronavirus latest 18 coronavirus 2020-03-31
502 what is coronavirus 18 coronavirus 2020-03-31
503 coronavirus brasil 18 coronavirus 2020-03-31
504 coronavirus 100 covid-19 2020-03-31
505 coronavirus covid-19 99 covid-19 2020-03-31
506 covid 60 covid-19 2020-03-31
507 covid-19 cases 54 covid-19 2020-03-31
508 covid 19 43 covid-19 2020-03-31
509 covid-19 virus 35 covid-19 2020-03-31
510 corona 33 covid-19 2020-03-31
511 covid-19 map 26 covid-19 2020-03-31
512 covid-19 symptoms 23 covid-19 2020-03-31
513 covid-19 updates 22 covid-19 2020-03-31
514 covid-19 news 21 covid-19 2020-03-31
515 covid-19 live 19 covid-19 2020-03-31
516 covid-19 update 19 covid-19 2020-03-31
517 corona virus 17 covid-19 2020-03-31
518 us covid-19 16 covid-19 2020-03-31
519 covid-19 canada 15 covid-19 2020-03-31
520 what is covid-19 15 covid-19 2020-03-31
521 covid-19 who 15 covid-19 2020-03-31
522 who 15 covid-19 2020-03-31
523 covid-19 world 13 covid-19 2020-03-31
524 covid-19 test 12 covid-19 2020-03-31
525 usa covid-19 12 covid-19 2020-03-31
526 covid-19 cdc 11 covid-19 2020-03-31
527 cdc 11 covid-19 2020-03-31
528 covid-19 china 11 covid-19 2020-03-31
529 covid 100 covid19 2020-03-31
530 covid 19 84 covid19 2020-03-31
531 coronavirus covid19 60 covid19 2020-03-31
532 coronavirus 59 covid19 2020-03-31
533 covid19 cases 37 covid19 2020-03-31
534 corona 27 covid19 2020-03-31
535 corona covid19 26 covid19 2020-03-31
536 virus covid19 25 covid19 2020-03-31
537 covid19 news 18 covid19 2020-03-31
538 covid19 update 16 covid19 2020-03-31
539 map covid19 14 covid19 2020-03-31
540 covid19 symptoms 14 covid19 2020-03-31
541 corona virus 14 covid19 2020-03-31
542 corona virus covid19 13 covid19 2020-03-31
543 covid19 us 12 covid19 2020-03-31
544 covid19 who 11 covid19 2020-03-31
545 who 11 covid19 2020-03-31
546 what is covid19 11 covid19 2020-03-31
547 test covid19 11 covid19 2020-03-31
548 covid19 canada 10 covid19 2020-03-31
549 italy 10 covid19 2020-03-31
550 covid19 italy 10 covid19 2020-03-31
551 covid19 india 10 covid19 2020-03-31
552 china covid19 9 covid19 2020-03-31
553 covid19 china 9 covid19 2020-03-31
554 coronavirus sars-cov-2 100 sars-cov-2 2020-03-31
555 coronavirus 94 sars-cov-2 2020-03-31
556 covid-19 sars-cov-2 80 sars-cov-2 2020-03-31
557 covid-19 72 sars-cov-2 2020-03-31
558 covid 50 sars-cov-2 2020-03-31
559 sars 46 sars-cov-2 2020-03-31
560 virus sars-cov-2 42 sars-cov-2 2020-03-31
561 covid 19 39 sars-cov-2 2020-03-31
562 corona 36 sars-cov-2 2020-03-31
563 corona virus 19 sars-cov-2 2020-03-31
564 sars-cov-2 vs covid-19 18 sars-cov-2 2020-03-31
565 what is sars-cov-2 14 sars-cov-2 2020-03-31
566 sars-cov 11 sars-cov-2 2020-03-31
567 sars cov 2 10 sars-cov-2 2020-03-31
568 sars-cov-2 wiki 10 sars-cov-2 2020-03-31
569 covid19 10 sars-cov-2 2020-03-31
570 koronawirus 9 sars-cov-2 2020-03-31
571 cdc 8 sars-cov-2 2020-03-31
572 sars-cov-2 rna 5 sars-cov-2 2020-03-31
573 the proximal origin of sars-cov-2 4 sars-cov-2 2020-03-31
574 covid-19 or sars-cov-2 4 sars-cov-2 2020-03-31
575 sars-cov-2 vs cod-19 4 sars-cov-2 2020-03-31
576 pubmed 3 sars-cov-2 2020-03-31
577 sars-cov-1 3 sars-cov-2 2020-03-31
578 sars-cov-2 cell entry depends on ace2 and tmprss2 and is blocked by a clinically proven protease inhibitor 3 sars-cov-2 2020-03-31
579 coronavirus 100 covid-19 pandemic 2020-03-31
580 covid-19 coronavirus pandemic 97 covid-19 pandemic 2020-03-31
581 coronavirus pandemic 97 covid-19 pandemic 2020-03-31
582 who pandemic 41 covid-19 pandemic 2020-03-31
583 is covid-19 a pandemic 40 covid-19 pandemic 2020-03-31
584 who covid-19 pandemic 40 covid-19 pandemic 2020-03-31
585 covid 19 32 covid-19 pandemic 2020-03-31
586 covid 19 pandemic 29 covid-19 pandemic 2020-03-31
587 epidemic 24 covid-19 pandemic 2020-03-31
588 pandemic meaning 21 covid-19 pandemic 2020-03-31
589 what is a pandemic 17 covid-19 pandemic 2020-03-31
590 pandemic definition 16 covid-19 pandemic 2020-03-31
591 covid-19 symptoms 11 covid-19 pandemic 2020-03-31
592 covid-19 pandemic plan 10 covid-19 pandemic 2020-03-31
593 pandemic define 8 covid-19 pandemic 2020-03-31
594 covid-19 live world map/count 7 covid-19 pandemic 2020-03-31
595 coronavirus pandemic covid-19 live world map/count 7 covid-19 pandemic 2020-03-31
596 covid19 7 covid-19 pandemic 2020-03-31
597 covid-19 pandemic unemployment payment 7 covid-19 pandemic 2020-03-31
598 covid-19 updates 6 covid-19 pandemic 2020-03-31
599 pandemic vs endemic 5 covid-19 pandemic 2020-03-31
600 coronavirus update 5 covid-19 pandemic 2020-03-31
601 when was the last pandemic 3 covid-19 pandemic 2020-03-31
602 who declared covid-19 pandemic 3 covid-19 pandemic 2020-03-31
603 when was covid-19 declared a pandemic 1 covid-19 pandemic 2020-03-31
604 coronavirus update 100 coronavirus 2020-03-31
605 corona 90 coronavirus 2020-03-31
606 coronavirus symptoms 73 coronavirus 2020-03-31
607 coronavirus cases 71 coronavirus 2020-03-31
608 coronavirus news 69 coronavirus 2020-03-31
609 coronavirus uk 51 coronavirus 2020-03-31
610 corona virus 46 coronavirus 2020-03-31
611 india coronavirus 45 coronavirus 2020-03-31
612 coronavirus map 41 coronavirus 2020-03-31
613 coronavirus italia 38 coronavirus 2020-03-31
614 coronavirus china 36 coronavirus 2020-03-31
615 france coronavirus 33 coronavirus 2020-03-31
616 usa coronavirus 29 coronavirus 2020-03-31
617 italy 28 coronavirus 2020-03-31
618 coronavirus italy 28 coronavirus 2020-03-31
619 coronavirus us 28 coronavirus 2020-03-31
620 coronavirus españa 26 coronavirus 2020-03-31
621 sintomas coronavirus 26 coronavirus 2020-03-31
622 coronavirus live 25 coronavirus 2020-03-31
623 symptoms of coronavirus 23 coronavirus 2020-03-31
624 coronavirus in india 22 coronavirus 2020-03-31
625 coronavirus tips 21 coronavirus 2020-03-31
626 coronavirus latest 19 coronavirus 2020-03-31
627 coronavirus brasil 18 coronavirus 2020-03-31
628 what is coronavirus 18 coronavirus 2020-03-31
629 coronavirus 100 covid-19 2020-03-31
630 coronavirus covid-19 100 covid-19 2020-03-31
631 covid 63 covid-19 2020-03-31
632 covid-19 cases 56 covid-19 2020-03-31
633 covid 19 45 covid-19 2020-03-31
634 covid-19 virus 35 covid-19 2020-03-31
635 corona 35 covid-19 2020-03-31
636 covid-19 map 26 covid-19 2020-03-31
637 covid-19 symptoms 25 covid-19 2020-03-31
638 covid-19 updates 22 covid-19 2020-03-31
639 covid-19 news 21 covid-19 2020-03-31
640 covid-19 live 20 covid-19 2020-03-31
641 covid-19 update 19 covid-19 2020-03-31
642 corona virus 18 covid-19 2020-03-31
643 covid-19 us 17 covid-19 2020-03-31
644 what is covid-19 16 covid-19 2020-03-31
645 covid-19 who 15 covid-19 2020-03-31
646 covid-19 canada 15 covid-19 2020-03-31
647 canada covid-19 15 covid-19 2020-03-31
648 who 15 covid-19 2020-03-31
649 covid-19 world 13 covid-19 2020-03-31
650 covid-19 test 13 covid-19 2020-03-31
651 china covid-19 12 covid-19 2020-03-31
652 covid-19 cdc 12 covid-19 2020-03-31
653 cdc 11 covid-19 2020-03-31
654 covid 100 covid19 2020-03-31
655 covid 19 86 covid19 2020-03-31
656 coronavirus 57 covid19 2020-03-31
657 coronavirus covid19 56 covid19 2020-03-31
658 covid19 cases 36 covid19 2020-03-31
659 corona covid19 25 covid19 2020-03-31
660 corona 25 covid19 2020-03-31
661 virus covid19 23 covid19 2020-03-31
662 covid19 news 18 covid19 2020-03-31
663 covid19 update 15 covid19 2020-03-31
664 covid19 map 14 covid19 2020-03-31
665 covid19 symptoms 13 covid19 2020-03-31
666 corona virus 12 covid19 2020-03-31
667 covid19 who 11 covid19 2020-03-31
668 who 11 covid19 2020-03-31
669 what is covid19 11 covid19 2020-03-31
670 us covid19 10 covid19 2020-03-31
671 canada covid19 10 covid19 2020-03-31
672 test covid19 10 covid19 2020-03-31
673 covid19 india 9 covid19 2020-03-31
674 china covid19 9 covid19 2020-03-31
675 covid19 italy 9 covid19 2020-03-31
676 italy 9 covid19 2020-03-31
677 covid19 world 9 covid19 2020-03-31
678 covid-19 8 covid19 2020-03-31
679 coronavirus sars-cov-2 100 sars-cov-2 2020-03-31
680 coronavirus 95 sars-cov-2 2020-03-31
681 covid-19 82 sars-cov-2 2020-03-31
682 sars-cov-2 covid-19 76 sars-cov-2 2020-03-31
683 covid 55 sars-cov-2 2020-03-31
684 sars-cov-2 virus 51 sars-cov-2 2020-03-31
685 sars 44 sars-cov-2 2020-03-31
686 covid 19 38 sars-cov-2 2020-03-31
687 corona 37 sars-cov-2 2020-03-31
688 sars-cov-2 covid 19 33 sars-cov-2 2020-03-31
689 sars-cov-2 vs covid-19 25 sars-cov-2 2020-03-31
690 corona virus 16 sars-cov-2 2020-03-31
691 what is sars-cov-2 15 sars-cov-2 2020-03-31
692 sars-cov-2 wiki 13 sars-cov-2 2020-03-31
693 covid19 11 sars-cov-2 2020-03-31
694 sars-cov 10 sars-cov-2 2020-03-31
695 sars cov 2 8 sars-cov-2 2020-03-31
696 sars-cov-2 origin 8 sars-cov-2 2020-03-31
697 sars-cov-2 rna 8 sars-cov-2 2020-03-31
698 cdc 8 sars-cov-2 2020-03-31
699 koronawirus 5 sars-cov-2 2020-03-31
700 sars-cov-2 genome 5 sars-cov-2 2020-03-31
701 pubmed 4 sars-cov-2 2020-03-31
702 the proximal origin of sars-cov-2 4 sars-cov-2 2020-03-31
703 sars-cov-2 vs cod-19 4 sars-cov-2 2020-03-31
704 coronavirus pandemic 100 covid-19 pandemic 2020-03-31
705 coronavirus 98 covid-19 pandemic 2020-03-31
706 covid-19 coronavirus pandemic 96 covid-19 pandemic 2020-03-31
707 is covid-19 a pandemic 41 covid-19 pandemic 2020-03-31
708 covid 19 37 covid-19 pandemic 2020-03-31
709 who 36 covid-19 pandemic 2020-03-31
710 who pandemic covid-19 36 covid-19 pandemic 2020-03-31
711 covid 19 pandemic 36 covid-19 pandemic 2020-03-31
712 who pandemic 34 covid-19 pandemic 2020-03-31
713 epidemic 24 covid-19 pandemic 2020-03-31
714 pandemic meaning 20 covid-19 pandemic 2020-03-31
715 what is a pandemic 15 covid-19 pandemic 2020-03-31
716 pandemic definition 15 covid-19 pandemic 2020-03-31
717 coronavirus pandemic covid-19 live world map/count 9 covid-19 pandemic 2020-03-31
718 pandemic vs epidemic 9 covid-19 pandemic 2020-03-31
719 covid-19 updates 8 covid-19 pandemic 2020-03-31
720 covid-19 symptoms 7 covid-19 pandemic 2020-03-31
721 covid-19 pandemic unemployment payment 7 covid-19 pandemic 2020-03-31
722 covid-19 pandemic plan 6 covid-19 pandemic 2020-03-31
723 coronavirus update 6 covid-19 pandemic 2020-03-31
724 who declared covid-19 pandemic 6 covid-19 pandemic 2020-03-31
725 pandemic vs endemic 5 covid-19 pandemic 2020-03-31
726 when was the last pandemic 4 covid-19 pandemic 2020-03-31
727 coronavirus pandemic covid-19 live world map count 3 covid-19 pandemic 2020-03-31
728 psa safe grocery shopping in covid-19 pandemic – updated 2 covid-19 pandemic 2020-03-31

2997
keywords/output/intermediate/wikidata_search_results.csv
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256674
keywords/output/intermediate/wikidata_search_results_from_gtrends.csv
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2
keywords/requirements.txt
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pytrends>=4.7.2
mwapi>=0.5.1

6
keywords/resources/base_terms.txt
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@ -1,6 +0,0 @@
coronavirus
covid-19
covid19
sars-cov-2
covid-19 pandemic
sars-cov-2 pandemic

2
keywords/src/__init__.py
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from wikidata_api_calls import *
from find_entities import *

76
keywords/src/collect_trends.py
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@ -1,76 +0,0 @@
# this follows a similar approach to nick's trends.js but in python
from pytrends.request import TrendReq
from datetime import datetime
from os import path
import csv
from itertools import islice, chain, zip_longest
import pandas as pd
# from itertools recipes
#https://docs.python.org/3.6/library/itertools.html#itertools-recipes
def grouper(iterable, n, fillvalue=None):
"Collect data into fixed-length chunks or blocks"
# grouper('ABCDEFG', 3, 'x') --> ABC DEF Gxx"
args = [iter(iterable)] * n
return zip_longest(*args, fillvalue=fillvalue)
def get_daily_trends():
trendReq = TrendReq(backoff_factor=0.2)
today_trending = trendReq.today_searches()
daily_trends_outfile = path.join("..","output","daily_google_trends.csv")
write_header = False
header = ['date','term','top']
if not path.exists(daily_trends_outfile):
write_header = True
with open("../output/intermediate/daily_google_trends.csv",'a',newline='') as of:
writer = csv.writer(of)
if write_header:
writer.writerow(header)
for i, trend in enumerate(today_trending):
writer.writerow([str(datetime.now().date()),trend,i])
def get_related_queries(stems):
# we have to batch these in sets of 5
trendReq = TrendReq(backoff_factor=0.2)
def _get_related_queries(chunk):
kw_list = list(filter(lambda x: x is not None, chunk))
trendReq.build_payload(kw_list=kw_list)
related_queries = trendReq.related_queries()
for term, results in related_queries.items():
for key, df in results.items():
if df is not None:
df["term"] = term
yield (key,df)
l = chain(*map(_get_related_queries, grouper(stems,5)))
out = {}
for key, value in l:
if key in out:
out[key].append(value)
else:
out[key] = [value]
for k in out.keys():
df = pd.concat(out[k])
df['date'] = str(datetime.now().date())
out[k] = df
outfile = path.join('..','output','intermediate',f"related_searches_{k}.csv")
if path.exists(outfile):
mode = 'a'
header = False
else:
mode = 'w'
header = True
df.to_csv(outfile, mode=mode, header=header,index=False)
stems = [t.strip() for t in open("../resources/base_terms.txt",'r')]
get_daily_trends()
get_related_queries(stems)

18
keywords/src/compile_translated_phrases.sh
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@ -1,18 +0,0 @@
#!/bin/bash
# For now these scripts don't accept command line arguments. It's an MVP
echo "Reading Google trends"
python3 collect_trends.py
echo "Searching for Wikidata items using base_terms.txt"
python3 wikidata_search.py ../resources/base_terms.txt --output ../output/intermediate/wikidata_search_results.csv
echo "Searching for Wikidata items using Google trends"
python3 wikidata_search.py ../output/intermediate/related_searches_rising.csv ../output/intermediate/related_searches_top.csv --use-gtrends --output ../output/intermediate/wikidata_search_results_from_gtrends.csv
echo "Finding translations from Wikidata using sparql"
python3 wikidata_translations.py ../output/intermediate/wikidata_search_results_from_gtrends.csv ../output/intermediate/wikidata_search_results.csv --topN 10 20 --output ../output/csv/$(date '+%Y-%m-%d')_wikidata_item_labels.csv
rm latest.csv
ln -s $(ls -tr | tail -n 1) latest.csv

16
keywords/src/compile_transliterated_phrases.sh
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@ -1,16 +0,0 @@
#!/bin/bash
# For now these scripts don't accept command line arguments. It's an MVP
echo "Reading Google trends"
python3 collect_trends.py
echo "Searching for Wikidata items using base_terms.txt"
python3 wikidata_search.py ../resources/base_terms.txt --output ../output/intermediate/wikidata_search_results.csv
echo "Searching for Wikidata items using Google trends"
python3 wikidata_search.py ../output/intermediate/related_searches_rising.csv ../output/intermediate/related_searches_top.csv --use-gtrends --output ../output/intermediate/wikidata_search_results_from_gtrends.csv
echo "Finding translations from Wikidata using sparql"
python3 wikidata_translations.py ../output/intermediate/wikidata_search_results_from_gtrends.csv ../output/intermediate/wikidata_search_results.csv --topN 10 20 --output ../output/csv/$(date '+%Y-%m-%d')_wikidata_item_labels.csv

1
keywords/src/defaults.py
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@ -1 +0,0 @@
user_agent = "COVID-19 Digital Observatory, a Community Data Science Collective project. (https://github.com/CommunityDataScienceCollective/COVID-19_Digital_Observatory)"

35
keywords/src/wikidata_api_calls.py
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@ -1,35 +0,0 @@
# File defines functions for making api calls to find translations and transliterations for key terms.
import mwapi
import requests
import sys
import time
from defaults import user_agent
def get_wikidata_api():
session = mwapi.Session(host="https://wikidata.org/w/api.php", user_agent=user_agent)
return session
def search_wikidata(session, term, *args, **kwargs):
search_results = session.get(action='query',
list='search',
srsearch=term,
# srqiprofile='popular_inclinks_pv',
srlimit='max',
srnamespace=0,
*args,
**kwargs)
query = search_results.get('query', None)
results = query.get('search', None)
if results is None:
raise mwapi.session.APIError(f"No results for query: {term}")
return results
def run_sparql_query(q):
results = requests.get("https://query.wikidata.org/bigdata/namespace/wdq/sparql",params={"format":"json","query":q})
time.sleep(2)
return results

95
keywords/src/wikidata_search.py
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@ -1,95 +0,0 @@
# generate a list of wikidata items related to keywords
from os import path
from sys import stdout
from wikidata_api_calls import search_wikidata, get_wikidata_api
import csv
from itertools import chain
class Wikidata_ResultSet:
def __init__(self):
self.results = []
def extend(self, term, results):
self.results.append(
(Wikidata_Result(term, result, i)
for i, result in enumerate(results))
)
def to_csv(self, outfile=None, mode='w'):
if outfile is None:
of = stdout
else:
if path.exists(outfile) and mode != 'w':
of = open(outfile,'a',newline='')
else:
of = open(outfile,'w',newline='')
writer = csv.writer(of)
writer.writerow(Wikidata_Result.__slots__)
writer.writerows(map(Wikidata_Result.to_list, chain(* self.results)))
class Wikidata_Result:
# store unique items found in the search results, the position in the search result, and the date
__slots__=['search_term','itemid','pageid','search_position','timestamp']
def __init__(self,
term,
search_result,
position):
self.search_term = term.strip()
self.itemid = search_result['title']
self.pageid = int(search_result['pageid'])
self.search_position = int(position)
self.timestamp = search_result['timestamp']
def to_list(self):
return [self.search_term,
self.itemid,
self.pageid,
self.search_position,
self.timestamp]
def run_wikidata_searches(terms):
api = get_wikidata_api()
resultset = Wikidata_ResultSet()
for term in terms:
search_results = search_wikidata(api, term)
resultset.extend(term, search_results)
return resultset
def read_google_trends_files(terms_files):
def _read_file(infile):
return csv.DictReader(open(infile,'r',newline=''))
for row in chain(* [_read_file(terms_file) for terms_file in terms_files]):
yield row['query']
def trawl_google_trends(terms_files, outfile = None, mode='w'):
terms = list(read_google_trends_files(terms_files))
resultset = run_wikidata_searches(terms)
resultset.to_csv(outfile, mode)
def trawl_base_terms(infiles, outfile = None, mode='w'):
terms = list(chain(* (open(infile,'r') for infile in infiles)))
resultset = run_wikidata_searches(terms)
resultset.to_csv(outfile, mode)
## search each of the base terms in wikidata
# store unique items found in the search results, the position in the search result, and the date
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser("Search wikidata for items related to a set of terms.")
parser.add_argument('inputs', type=str, nargs='+', help='one or more files to read')
parser.add_argument('--use-gtrends', action='store_true', help = 'toggle whether the input is the output from google trends')
parser.add_argument('--output', type=str, help='an output file. defaults to stdout')
parser.add_argument('--overwrite', action='store_true', help = 'overwrite existing output files instead of appending')
args = parser.parse_args()
if args.use_gtrends:
trawl_google_trends(args.inputs, args.output)
else:
trawl_base_terms(args.inputs, args.output)

108
keywords/src/wikidata_translations.py
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@ -1,108 +0,0 @@
from wikidata_api_calls import run_sparql_query
from itertools import chain, islice
import csv
from json import JSONDecodeError
from os import path
class LabelData:
__slots__ = ['itemid','label','langcode','is_alt']
def __init__(self, wd_res, is_alt):
obj = wd_res.get('label',None)
self.label = obj.get('value',None)
self.langcode = obj.get('xml:lang',None)
self.itemid = wd_res.get('item',None).get('value',None)
self.is_alt = is_alt
def to_list(self):
return [self.itemid,
self.label,
self.langcode,
self.is_alt]
def GetAllLabels(in_csvs, outfile, topNs):
def load_item_ids(in_csv, topN=5):
with open(in_csv,'r',newline='') as infile:
reader = list(csv.DictReader(infile))
for row in reader:
if int(row['search_position']) < topN:
yield row["itemid"]
ids = set(chain(* map(lambda in_csv, topN: load_item_ids(in_csv, topN), in_csvs, topNs)))
ids = ids.union(open("../resources/main_items.txt"))
labeldata = GetItemLabels(ids)
with open(outfile, 'w', newline='') as of:
writer = csv.writer(of)
writer.writerow(LabelData.__slots__)
writer.writerows(map(LabelData.to_list,labeldata))
def GetItemLabels(itemids):
def run_query_and_parse(query, is_alt):
results = run_sparql_query(query)
try:
jobj = results.json()
res = jobj.get('results',None)
if res is not None:
res = res.get('bindings',None)
if res is None:
raise requests.APIError(f"got invalid response from wikidata for {query % itemid}")
for info in res:
yield LabelData(info, is_alt)
except JSONDecodeError as e:
print(e)
print(query)
def prep_query(query, prop, itemids):
values = ' '.join(('wd:{0}'.format(id) for id in itemids))
return query.format(prop, values)
base_query = """
SELECT DISTINCT ?item ?label WHERE {{
?item {0} ?label;
VALUES ?item {{ {1} }}
}}"""
# we can't get all the items at once. how about 100 at a time?
chunksize = 100
itemids = (id for id in itemids)
chunk = list(islice(itemids, chunksize))
calls = []
while len(chunk) > 0:
label_query = prep_query(base_query, "rdfs:label", chunk)
altLabel_query = prep_query(base_query, "skos:altLabel", chunk)
label_results = run_query_and_parse(label_query, is_alt=False)
altLabel_results = run_query_and_parse(altLabel_query, is_alt=True)
calls.extend([label_results, altLabel_results])
chunk = list(islice(itemids, chunksize))
return chain(*calls)
def find_new_output_file(output, i = 1):
if path.exists(output):
name, ext = path.splitext(output)
return find_new_output_file(f"{name}_{i}{ext}", i+1)
else:
return output
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser("Use wikidata to find translations of terms")
parser.add_argument('inputs', type=str, nargs='+', help='one or more files to read. the inputs are generated by wikidata_search.py')
parser.add_argument('--topN', type=int, nargs='+', help='limit number of wikidata search results to use, can pass one arg for each source.')
parser.add_argument('--output', type=str, help='an output file. defaults to stdout',default=20)
args = parser.parse_args()
output = find_new_output_file(args.output)
GetAllLabels(args.inputs, output, topNs=args.topN)

1
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11
wikipedia/example_analysis/output/top10_views_by_project_date.csv
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@ -1,11 +0,0 @@
"article","project","timestamp","views"
"Charles,_Prince_of_Wales","en.wikipedia","2020010100",32880
"Tom_Hanks","en.wikipedia","2020010100",23586
"Boris_Johnson","en.wikipedia","2020010100",12974
"Eurovision_Song_Contest_2020","en.wikipedia","2020010100",7901
"Mike_Pence","en.wikipedia","2020010100",4088
"Olga_Kurylenko","en.wikipedia","2020010100",3653
"WrestleMania_36","en.wikipedia","2020010100",3484
"World_Health_Organization","en.wikipedia","2020010100",3002
"Severe_acute_respiratory_syndrome","en.wikipedia","2020010100",2037
"Centers_for_Disease_Control_and_Prevention","en.wikipedia","2020010100",909
1 article project timestamp views
2 Charles,_Prince_of_Wales en.wikipedia 2020010100 32880
3 Tom_Hanks en.wikipedia 2020010100 23586
4 Boris_Johnson en.wikipedia 2020010100 12974
5 Eurovision_Song_Contest_2020 en.wikipedia 2020010100 7901
6 Mike_Pence en.wikipedia 2020010100 4088
7 Olga_Kurylenko en.wikipedia 2020010100 3653
8 WrestleMania_36 en.wikipedia 2020010100 3484
9 World_Health_Organization en.wikipedia 2020010100 3002
10 Severe_acute_respiratory_syndrome en.wikipedia 2020010100 2037
11 Centers_for_Disease_Control_and_Prevention en.wikipedia 2020010100 909

844
wikipedia/example_analysis/output/user_edit_counts-first1000.csv
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@ -1,844 +0,0 @@
"user","title","appearances"
"Whispyhistory","2019–20 coronavirus pandemic",158
"Hallooooed","2019–20 coronavirus pandemic",118
"110.137.163.146","2019–20 coronavirus pandemic",28
"PenulisHantu","2019–20 coronavirus pandemic",24
"Phoenix7777","2019–20 coronavirus pandemic",21
"Discern irony","2019–20 coronavirus pandemic",20
"Jtamad","2019–20 coronavirus pandemic",19
"Skaijie","2019–20 coronavirus pandemic",19
"Johndavies837","2019–20 coronavirus pandemic",18
"Ozzie10aaaa","2019–20 coronavirus pandemic",17
"Nguyen QuocTrung","2019–20 coronavirus pandemic",14
"71.17.186.200","2019–20 coronavirus pandemic",8
"GoofyNoah","2019–20 coronavirus pandemic",8
"Underwaterbuffalo","2019–20 coronavirus pandemic",8
"Andonic","2019–20 coronavirus pandemic",7
"Louis He","2019–20 coronavirus pandemic",7
"Vinhson27","2019–20 coronavirus pandemic",7
"2604:2000:1403:654:A8CD:8F65:AC3B:2FDB","2019–20 coronavirus pandemic",6
"Optakeover","2019–20 coronavirus pandemic",6
"39cookies","2019–20 coronavirus pandemic",5
"Arthurfragoso","2019–20 coronavirus pandemic",5
"Artoria2e5","2019–20 coronavirus pandemic",5
"Davianlols6","2019–20 coronavirus pandemic",5
"Lucastefan123","2019–20 coronavirus pandemic",5
"Sc2353","2019–20 coronavirus pandemic",5
"Tiangulu010","2019–20 coronavirus pandemic",5
"Wuerzele","2019–20 coronavirus pandemic",5
"2.59.238.253","2019–20 coronavirus pandemic",4
"2001:14BA:1CFF:F00:C4EC:7280:4E87:EA70","2019–20 coronavirus pandemic",4
"2001:8003:4E4E:E900:C9B4:B665:EBDA:914A","2019–20 coronavirus pandemic",4
"2A01:CB19:9AD:F900:649D:67A:2122:D988","2019–20 coronavirus pandemic",4
"Espresso Addict","2019–20 coronavirus pandemic",4
"Geographyinitiative","2019–20 coronavirus pandemic",4
"Hariboneagle927","2019–20 coronavirus pandemic",4
"Keivan.f","2019–20 coronavirus pandemic",4
"Kencf0618","2019–20 coronavirus pandemic",4
"Michael Billford","2019–20 coronavirus pandemic",4
"Qono","2019–20 coronavirus pandemic",4
"Ravenpuff","2019–20 coronavirus pandemic",4
"Ser Amantio di Nicolao","2019–20 coronavirus pandemic",4
"Sikander","2019–20 coronavirus pandemic",4
"Unknown4321unknown","2019–20 coronavirus pandemic",4
"107.190.33.254","2019–20 coronavirus pandemic",3
"173.68.165.114","2019–20 coronavirus pandemic",3
"175.110.65.187","2019–20 coronavirus pandemic",3
"205.143.204.240","2019–20 coronavirus pandemic",3
"2600:1700:DFA0:9880:6879:FB75:E4A:787","2019–20 coronavirus pandemic",3
"60.224.246.140","2019–20 coronavirus pandemic",3
"78.98.55.59","2019–20 coronavirus pandemic",3
"99.254.34.143","2019–20 coronavirus pandemic",3
"Alpha Centauri 5932","2019–20 coronavirus pandemic",3
"Bondegezou","2019–20 coronavirus pandemic",3
"Boud","2019–20 coronavirus pandemic",3
"ChromeGames923","2019–20 coronavirus pandemic",3
"Cypp0847","2019–20 coronavirus pandemic",3
"Dicklyon","2019–20 coronavirus pandemic",3
"Dieu2005","2019–20 coronavirus pandemic",3
"Kalescribbles","2019–20 coronavirus pandemic",3
"MSG17","2019–20 coronavirus pandemic",3
"POTUF","2019–20 coronavirus pandemic",3
"Sm8900","2019–20 coronavirus pandemic",3
"TheSebik","2019–20 coronavirus pandemic",3
"THEunique","2019–20 coronavirus pandemic",3
"Tony Patt","2019–20 coronavirus pandemic",3
"Tsukide","2019–20 coronavirus pandemic",3
"113.20.98.232","2019–20 coronavirus pandemic",2
"130.63.244.97","2019–20 coronavirus pandemic",2
"162.201.216.226","2019–20 coronavirus pandemic",2
"180.245.111.65","2019–20 coronavirus pandemic",2
"184.186.157.247","2019–20 coronavirus pandemic",2
"195.5.28.38","2019–20 coronavirus pandemic",2
"27.145.195.137","2019–20 coronavirus pandemic",2
"50.224.143.82","2019–20 coronavirus pandemic",2
"67.71.17.133","2019–20 coronavirus pandemic",2
"93.176.159.64","2019–20 coronavirus pandemic",2
"Adûnâi","2019–20 coronavirus pandemic",2
"ArbDardh","2019–20 coronavirus pandemic",2
"Bdgzczy","2019–20 coronavirus pandemic",2
"C933103","2019–20 coronavirus pandemic",2
"Cherkash","2019–20 coronavirus pandemic",2
"CRGreathouse","2019–20 coronavirus pandemic",2
"Fasnon","2019–20 coronavirus pandemic",2
"FReaKaNDeLL","2019–20 coronavirus pandemic",2
"Gog the Mild","2019–20 coronavirus pandemic",2
"Hensa1","2019–20 coronavirus pandemic",2
"Honkinonbobo","2019–20 coronavirus pandemic",2
"Hydrology","2019–20 coronavirus pandemic",2
"Itismeosama","2019–20 coronavirus pandemic",2
"Kndimov","2019–20 coronavirus pandemic",2
"Llooong","2019–20 coronavirus pandemic",2
"Magicknight94","2019–20 coronavirus pandemic",2
"Mvolz","2019–20 coronavirus pandemic",2
"Pancho507","2019–20 coronavirus pandemic",2
"Petrandreev13","2019–20 coronavirus pandemic",2
"Ptrump16","2019–20 coronavirus pandemic",2
"Rethliopuks","2019–20 coronavirus pandemic",2
"Sanya3","2019–20 coronavirus pandemic",2
"SounderBruce","2019–20 coronavirus pandemic",2
"Tezakhiago","2019–20 coronavirus pandemic",2
"The Anome","2019–20 coronavirus pandemic",2
"Unnamelessness","2019–20 coronavirus pandemic",2
"Valereee","2019–20 coronavirus pandemic",2
"Yadsalohcin","2019–20 coronavirus pandemic",2
"Zhenqinli","2019–20 coronavirus pandemic",2
"00johnny cage123","2019–20 coronavirus pandemic",1
"1.152.106.25","2019–20 coronavirus pandemic",1
"103.60.217.1","2019–20 coronavirus pandemic",1
"107.148.244.1","2019–20 coronavirus pandemic",1
"108.90.116.246","2019–20 coronavirus pandemic",1
"112.134.210.6","2019–20 coronavirus pandemic",1
"112.199.129.182","2019–20 coronavirus pandemic",1
"112.199.199.132","2019–20 coronavirus pandemic",1
"114.44.185.133","2019–20 coronavirus pandemic",1
"116.86.246.25","2019–20 coronavirus pandemic",1
"124.217.189.28","2019–20 coronavirus pandemic",1
"142.103.143.128","2019–20 coronavirus pandemic",1
"146.198.117.179","2019–20 coronavirus pandemic",1
"152.27.20.2","2019–20 coronavirus pandemic",1
"155.101.97.37","2019–20 coronavirus pandemic",1
"162.211.109.182","2019–20 coronavirus pandemic",1
"174.85.100.143","2019–20 coronavirus pandemic",1
"176.203.56.226","2019–20 coronavirus pandemic",1
"176.72.46.60","2019–20 coronavirus pandemic",1
"182.239.85.91","2019–20 coronavirus pandemic",1
"184.16.188.210","2019–20 coronavirus pandemic",1
"184.16.214.110","2019–20 coronavirus pandemic",1
"187.237.14.242","2019–20 coronavirus pandemic",1
"193.28.36.33","2019–20 coronavirus pandemic",1
"195.200.70.46","2019–20 coronavirus pandemic",1
"199.117.106.150","2019–20 coronavirus pandemic",1
"2001:1C02:3607:7E00:C0A3:9110:53A2:4A15","2019–20 coronavirus pandemic",1
"2001:569:793B:B100:44B6:E994:1B84:41B4","2019–20 coronavirus pandemic",1
"2001:8003:4E4E:E900:436:3838:F56A:12BE","2019–20 coronavirus pandemic",1
"202.79.203.111","2019–20 coronavirus pandemic",1
"207.81.167.200","2019–20 coronavirus pandemic",1
"216.30.179.221","2019–20 coronavirus pandemic",1
"217.169.235.25","2019–20 coronavirus pandemic",1
"219.78.196.70","2019–20 coronavirus pandemic",1
"220.241.114.137","2019–20 coronavirus pandemic",1
"223.62.219.123","2019–20 coronavirus pandemic",1
"24.6.206.135","2019–20 coronavirus pandemic",1
"2402:7500:44B:5DFF:6465:50D2:8923:15F7","2019–20 coronavirus pandemic",1
"2409:4072:82:1C87:4979:BDF9:19C2:E6BD","2019–20 coronavirus pandemic",1
"2601:142:3:B110:E43C:3AD9:7B3F:95CD","2019–20 coronavirus pandemic",1
"2601:40C:8380:1720:D40C:13F6:4B12:C15D","2019–20 coronavirus pandemic",1
"2605:A000:161D:429E:38C4:B7C6:7C61:DDFE","2019–20 coronavirus pandemic",1
"2607:FEA8:1DDF:FEE1:ED71:A155:F701:A02C","2019–20 coronavirus pandemic",1
"2A01:E35:2FBF:78C0:9873:A140:ACEA:D061","2019–20 coronavirus pandemic",1
"2A02:2F01:6207:FC00:5C37:DD8A:C132:90F5","2019–20 coronavirus pandemic",1
"36.76.229.208","2019–20 coronavirus pandemic",1
"39.120.196.23","2019–20 coronavirus pandemic",1
"3PoundsOfFlax","2019–20 coronavirus pandemic",1
"49.245.64.157","2019–20 coronavirus pandemic",1
"5.173.128.124","2019–20 coronavirus pandemic",1
"61.247.39.83","2019–20 coronavirus pandemic",1
"64.134.180.88","2019–20 coronavirus pandemic",1
"66.210.78.82","2019–20 coronavirus pandemic",1
"66.220.194.16","2019–20 coronavirus pandemic",1
"68.134.239.246","2019–20 coronavirus pandemic",1
"72.139.24.98","2019–20 coronavirus pandemic",1
"77.67.86.210","2019–20 coronavirus pandemic",1
"79.72.255.137","2019–20 coronavirus pandemic",1
"81.221.223.94","2019–20 coronavirus pandemic",1
"82.21.34.90","2019–20 coronavirus pandemic",1
"82.6.101.144","2019–20 coronavirus pandemic",1
"86.3.240.212","2019–20 coronavirus pandemic",1
"89.236.62.213","2019–20 coronavirus pandemic",1
"Alexcalamaro","2019–20 coronavirus pandemic",1
"Alphama","2019–20 coronavirus pandemic",1
"AngryHarpy","2019–20 coronavirus pandemic",1
"Anonymouees","2019–20 coronavirus pandemic",1
"ApChrKey","2019–20 coronavirus pandemic",1
"AwkwrdPrtMskrt","2019–20 coronavirus pandemic",1
"Azboi","2019–20 coronavirus pandemic",1
"Bangabandhu","2019–20 coronavirus pandemic",1
"Brandmeister","2019–20 coronavirus pandemic",1
"CaibzGeek","2019–20 coronavirus pandemic",1
"CaradhrasAiguo","2019–20 coronavirus pandemic",1
"Cbs527","2019–20 coronavirus pandemic",1
"Chbe113","2019–20 coronavirus pandemic",1
"Citobun","2019–20 coronavirus pandemic",1
"ClueBot NG","2019–20 coronavirus pandemic",1
"Continentaleurope","2019–20 coronavirus pandemic",1
"CountyCountry","2019–20 coronavirus pandemic",1
"CRau080","2019–20 coronavirus pandemic",1
"Darylgolden","2019–20 coronavirus pandemic",1
"Dimadick","2019–20 coronavirus pandemic",1
"Dshubble","2019–20 coronavirus pandemic",1
"E3.akpinar","2019–20 coronavirus pandemic",1
"Editeditor2019","2019–20 coronavirus pandemic",1
"EelamStyleZ","2019–20 coronavirus pandemic",1
"Efly","2019–20 coronavirus pandemic",1
"El C","2019–20 coronavirus pandemic",1
"Eric1212","2019–20 coronavirus pandemic",1
"Every inherent nuance of the dummys prudence 38351483 83348 13dc9be20f0a34a748bce9774dc6a75d6b2f401b wikitext False False https://en.wikipedia.org/w/index.php?title=2019%E2%80%9320_coronavirus_pandemic&oldid=936878544 2020-04-01 18:26:08.050692 ff5521d
2019–20 coronavirus pandemic 62750956 0 936879169 2020-01-21T15:47:59Z TheGreatSGrean","2019–20 coronavirus pandemic",1
"Every inherent nuance of the dummys prudence 38351483 83539 01d04b405fc27ccc37b87830ec885c1095496c46 wikitext False False https://en.wikipedia.org/w/index.php?title=2019%E2%80%9320_coronavirus_pandemic&oldid=936881156 2020-04-01 18:26:08.050692 ff5521d
2019–20 coronavirus pandemic 62750956 0 936881373 2020-01-21T16:05:24Z Every inherent nuance of the dummys prudence","2019–20 coronavirus pandemic",1
"Expertmemer","2019–20 coronavirus pandemic",1
"Farras","2019–20 coronavirus pandemic",1
"Fortunatestars","2019–20 coronavirus pandemic",1
"Foxterria","2019–20 coronavirus pandemic",1
"GerifalteDelSabana","2019–20 coronavirus pandemic",1
"Gnarlyedits","2019–20 coronavirus pandemic",1
"Graeme Bartlett","2019–20 coronavirus pandemic",1
"Heartfox","2019–20 coronavirus pandemic",1
"Heroeswithmetaphors","2019–20 coronavirus pandemic",1
"Hoising","2019–20 coronavirus pandemic",1
"Hvn0413","2019–20 coronavirus pandemic",1
"IAmNitpicking","2019–20 coronavirus pandemic",1
"Ich","2019–20 coronavirus pandemic",1
"Jamesey24","2019–20 coronavirus pandemic",1
"JaneHillervene","2019–20 coronavirus pandemic",1
"Kef274","2019–20 coronavirus pandemic",1
"Kenohori","2019–20 coronavirus pandemic",1
"Kevinwriter","2019–20 coronavirus pandemic",1
"KH-1","2019–20 coronavirus pandemic",1
"KinkyLipids","2019–20 coronavirus pandemic",1
"Kreggon","2019–20 coronavirus pandemic",1
"Kroger4","2019–20 coronavirus pandemic",1
"Levonscott","2019–20 coronavirus pandemic",1
"MadameButterflyKnife","2019–20 coronavirus pandemic",1
"MainlyTwelve","2019–20 coronavirus pandemic",1
"Marco.bs","2019–20 coronavirus pandemic",1
"MaRoFu","2019–20 coronavirus pandemic",1
"Matilda Maniac","2019–20 coronavirus pandemic",1
"Melmann","2019–20 coronavirus pandemic",1
"Moaz786","2019–20 coronavirus pandemic",1
"Mrajkarki","2019–20 coronavirus pandemic",1
"MuzafferB","2019–20 coronavirus pandemic",1
"Nick.mon","2019–20 coronavirus pandemic",1
"Nimda01","2019–20 coronavirus pandemic",1
"Nizil Shah","2019–20 coronavirus pandemic",1
"Nobuts","2019–20 coronavirus pandemic",1
"Northern Moonlight","2019–20 coronavirus pandemic",1
"Ntsimp","2019–20 coronavirus pandemic",1
"Oscar1003","2019–20 coronavirus pandemic",1
"OSSYULYYZ","2019–20 coronavirus pandemic",1
"Person who formerly started with \"216\"","2019–20 coronavirus pandemic",1
"Pharexia","2019–20 coronavirus pandemic",1
"Poklane","2019–20 coronavirus pandemic",1
"Protonchang","2019–20 coronavirus pandemic",1
"Psychonaut","2019–20 coronavirus pandemic",1
"Quest for Truth","2019–20 coronavirus pandemic",1
"Rachmat04","2019–20 coronavirus pandemic",1
"RandomAccount1235423","2019–20 coronavirus pandemic",1
"RaphaelQS","2019–20 coronavirus pandemic",1
"Red King","2019–20 coronavirus pandemic",1
"RMCD bot","2019–20 coronavirus pandemic",1
"Robertsky","2019–20 coronavirus pandemic",1
"Rumen34","2019–20 coronavirus pandemic",1
"Serols","2019–20 coronavirus pandemic",1
"Sleath56","2019–20 coronavirus pandemic",1
"Snapplepapp","2019–20 coronavirus pandemic",1
"Soupvector","2019–20 coronavirus pandemic",1
"Stephen","2019–20 coronavirus pandemic",1
"Streetsoda","2019–20 coronavirus pandemic",1
"SUM1","2019–20 coronavirus pandemic",1
"Super Peebo","2019–20 coronavirus pandemic",1
"SYSS Mouse","2019–20 coronavirus pandemic",1
"Teaperson","2019–20 coronavirus pandemic",1
"TFSA","2019–20 coronavirus pandemic",1
"TheAlderaanian","2019–20 coronavirus pandemic",1
"TheEpicGhosty","2019–20 coronavirus pandemic",1
"TheGreatSGrean 36415105 100623 f1d1e74e51013a4dc218d1c0aeccaacb3fa68348 wikitext False False https://en.wikipedia.org/w/index.php?title=2019%E2%80%9320_coronavirus_pandemic&oldid=937010744 2020-04-01 18:26:08.050692 ff5521d
2019–20 coronavirus pandemic 62750956 0 937010817 2020-01-22T11:22:01Z Tiangulu010 22669091 100623 7994b81940daa82b0e870cc5459e7f8b712f1850 wikitext False False https://en.wikipedia.org/w/index.php?title=2019%E2%80%9320_coronavirus_pandemic&oldid=937010817 2020-04-01 18:26:08.050692 ff5521d
2019–20 coronavirus pandemic 62750956 0 937010883 2020-01-22T11:22:50Z Whispyhistory 30823445 101110 763bfc7ba9bca8ec729329bbf686e285554fa6f6 wikitext False False https://en.wikipedia.org/w/index.php?title=2019%E2%80%9320_coronavirus_pandemic&oldid=937010883 2020-04-01 18:26:08.050692 ff5521d
2019–20 coronavirus pandemic 62750956 0 937011040 2020-01-22T11:24:31Z Hallooooed 35860459 101110 e837cc8d8e34d31e9974cb8cf9393d959bee112f wikitext False False https://en.wikipedia.org/w/index.php?title=2019%E2%80%9320_coronavirus_pandemic&oldid=937011040 2020-04-01 18:26:08.050692 ff5521d
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2019–20 coronavirus pandemic 62750956 0 937009368 2020-01-22T11:06:35Z Hallooooed 35860459 100409 8995d50822129a04cdf3de9c3a716fb0633bedd7 wikitext False False https://en.wikipedia.org/w/index.php?title=2019%E2%80%9320_coronavirus_pandemic&oldid=937009368 2020-04-01 18:26:08.050692 ff5521d
2019–20 coronavirus pandemic 62750956 0 937009532 2020-01-22T11:08:51Z Hallooooed 35860459 100722 474946bc3dc81166966eb4deee6a75e87496dd6c wikitext False False https://en.wikipedia.org/w/index.php?title=2019%E2%80%9320_coronavirus_pandemic&oldid=937009532 2020-04-01 18:26:08.050692 ff5521d
2019–20 coronavirus pandemic 62750956 0 937009834 2020-01-22T11:12:07Z 78.98.55.59 0 100790 d6a4c0fc236aaa91d349929e7c9ccb63c2f7fa88 wikitext True False https://en.wikipedia.org/w/index.php?title=2019%E2%80%9320_coronavirus_pandemic&oldid=937009834 2020-04-01 18:26:08.050692 ff5521d
2019–20 coronavirus pandemic 62750956 0 937010121 2020-01-22T11:15:17Z TheGreatSGrean","2019–20 coronavirus pandemic",1
"TheHappyHumanist","2019–20 coronavirus pandemic",1
"Tholme","2019–20 coronavirus pandemic",1
"TVShowFan122","2019–20 coronavirus pandemic",1
"UnitedStatesian","2019–20 coronavirus pandemic",1
"Ur frnd","2019–20 coronavirus pandemic",1
"Victorgrigas","2019–20 coronavirus pandemic",1
"Wiki13565","2019–20 coronavirus pandemic",1
"WikiFan11427","2019–20 coronavirus pandemic",1
"X1\","2019–20 coronavirus pandemic",1
"ZofTse","2019–20 coronavirus pandemic",1
"Zygerth","2019–20 coronavirus pandemic",1
"大象是老司机","2019–20 coronavirus pandemic",1
"廣九直通車","2019–20 coronavirus pandemic",1
"舞月書生","2019–20 coronavirus pandemic",1
"董辰兴","2019–20 coronavirus pandemic",1
Can't render this file because it contains an unexpected character in line 240 and column 36.

40
wikipedia/example_analysis/pageview_example.R
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@ -1,40 +0,0 @@
### COVID-19 Digital Observatory
### 2020-03-28
###
### Minimal example analysis file using pageview data
library(tidyverse)
library(scales)
### Import and cleanup one datafile from the observatory
DataURL <-
url("https://covid19.communitydata.science/datasets/wikipedia/digobs_covid19-wikipedia-enwiki_dailyviews-20200101.tsv")
views <-
read.table(DataURL, sep="\t", header=TRUE, stringsAsFactors=FALSE)
### Cleanup and do the grouping with functions from the Tidyverse
### (see https://www.tidyverse.org for more info)
views <- views[,c("article", "project", "timestamp", "views")]
views$timestamp <- fct_explicit_na(as.character(views$timestamp))
### Sorts and groups at the same time
views.by.proj.date <- arrange(group_by(views, project, timestamp),
desc(views))
### Export just the top 10 by pageviews
write.table(head(views.by.proj.date, 10),
file="output/top10_views_by_project_date.csv", sep=",",
row.names=FALSE)
### A simple visualization
p <- ggplot(data=views.by.proj.date, aes(views))
## Density plot with log-transformed axis
p + geom_density() + scale_x_log10(labels=comma)

51
wikipedia/example_analysis/revisions_example.R
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@ -1,51 +0,0 @@
### COVID-19 Digital Observatory
###
### Minimal example analysis file using revisions data.
###
### Note: The revisions data files can get quite big and it may not make
### sense to try to load them into memory in R. This example file
### loads the first 1,000 rows of a sample file.
library(tidyverse)
library(lubridate)
library(scales)
### Import and cleanup first 1000 rows of one datafile from the observatory
DataURL <-
url("https://covid19.communitydata.science/datasets/wikipedia/digobs_covid19-wikipedia-enwiki_revisions-20200401.tsv")
revisions <- read.table(DataURL, sep="\t", header=TRUE,
stringsAsFactors=FALSE,
nrows=1000)
revisions$timestamp <- as_datetime(revisions$timestamp)
### Group edit by editor to see edit counts
user.edit.counts <- revisions %>%
group_by(user, title) %>% # for the example, there's only one
# article title
summarize(appearances = n()) %>%
arrange(-appearances)
### Export that as a little table
write.table(user.edit.counts,
file="output/user_edit_counts-first1000.csv", sep=",",
row.names=FALSE)
### A simple time series of edits
plot <- revisions %>%
arrange(timestamp) %>%
mutate(count = as.numeric(rownames(revisions))) %>%
ggplot(aes(x=timestamp, y=count)) +
geom_jitter(alpha=0.1) +
xlab("Date") +
ylab("Total edits (cumulative)") +
ggtitle(paste("Revisions to article: ",
head(revisions$title,1), sep="")) +
theme_minimal()
ggsave("output/first_1000_edit_timeseries.png", plot)

27
wikipedia/scripts/digobs.py
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@ -1,27 +0,0 @@
#!/usr/bin/env python3
import sys
import subprocess
import logging
def git_hash(short=False):
if short:
return subprocess.check_output(['git', 'rev-parse', '--short', 'HEAD']).decode().strip()
else:
subprocess.check_output(['git', 'rev-parse', 'HEAD']).decode().strip()
def get_loglevel(arg_loglevel):
loglevel_mapping = { 'debug' : logging.DEBUG,
'info' : logging.INFO,
'warning' : logging.WARNING,
'error' : logging.ERROR,
'critical' : logging.CRITICAL }
if arg_loglevel in loglevel_mapping:
loglevel = loglevel_mapping[arg_loglevel]
return loglevel
else:
print("Choose a valid log level: debug, info, warning, error, or critical", file=sys.stderr)
return logging.INFO

110
wikipedia/scripts/fetch_enwiki_daily_views.py
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@ -1,110 +0,0 @@
#!/usr/bin/env python3
###############################################################################
#
# This script assumes the presence of the COVID-19 repo.
#
# It (1) reads in the article list and then (2) calls the Wikimedia API to
# fetch view information for each article. Output is to (3) JSON and TSV.
#
###############################################################################
import sys
import requests
import argparse
import json
import time
import os.path
import datetime
import logging
from csv import DictWriter
import digobs
#import feather #TBD
def parse_args():
parser = argparse.ArgumentParser(description='Call the views API to collect Wikipedia view data.')
parser.add_argument('-o', '--output_folder', help='Where to save output', default="wikipedia/data", type=str)
parser.add_argument('-i', '--article_file', help='File listing article names', default="wikipedia/resources/enwp_wikiproject_covid19_articles.txt", type=str)
parser.add_argument('-d', '--query_date', help='Date if not yesterday, in YYYYMMDD format.', type=str)
parser.add_argument('-L', '--logging_level', help='Logging level. Options are debug, info, warning, error, critical. Default: info.', default='info', type=digobs.get_loglevel),
parser.add_argument('-W', '--logging_destination', help='Logging destination file. (default: standard error)', type=str),
args = parser.parse_args()
return(args)
def main():
args = parse_args()
outputPath = args.output_folder
articleFile = args.article_file
#handle -d
if args.query_date:
query_date = args.query_date
else:
yesterday = datetime.datetime.today() - datetime.timedelta(days=1)
query_date = yesterday.strftime("%Y%m%d")
#handle -W
if args.logging_destination:
logging.basicConfig(filename=args.logging_destination, filemode='a', level=args.logging_level)
else:
logging.basicConfig(level=args.logging_level)
export_time = str(datetime.datetime.now())
export_date = datetime.datetime.today().strftime("%Y%m%d")
logging.info(f"Starting run at {export_time}")
logging.info(f"Last commit: {digobs.git_hash()}")
#1 Load up the list of article names
j_outfilename = os.path.join(outputPath, f"digobs_covid19-wikipedia-enwiki_dailyviews-{query_date}.json")
t_outfilename = os.path.join(outputPath, f"digobs_covid19-wikipedia-enwiki_dailyviews-{query_date}.tsv")
with open(articleFile, 'r') as infile:
articleList = list(map(str.strip, infile))
success = 0 #for logging how many work/fail
failure = 0
#3 Save results as a JSON and TSV
with open(j_outfilename, 'w') as j_outfile, \
open(t_outfilename, 'w') as t_outfile:
#2 Repeatedly call the API with that list of names
for a in articleList:
url= f"https://wikimedia.org/api/rest_v1/metrics/pageviews/per-article/en.wikipedia/all-access/all-agents/{a}/daily/{query_date}00/{query_date}00"
response = requests.get(url)
if response.ok:
jd = response.json()["items"][0]
success = success + 1
else:
failure = failure + 1
logging.warning(f"Failure: {response.status_code} from {url}")
continue
# start writing the CSV File if it doesn't exist yet
try:
dw
except NameError:
dw = DictWriter(t_outfile, sorted(jd.keys()), delimiter='\t')
dw.writeheader()
logging.debug(f"printing data: {jd}")
# write out the line of the json file
print(json.dumps(jd), file=j_outfile)
# write out of the csv file
dw.writerow(jd)
# f_Out = outputPath + "dailyviews" + query_date + ".feather"
# read the json back in and make a feather file?
logging.debug(f"Run complete at {datetime.datetime.now()}")
logging.info(f"Processed {success} successful URLs and {failure} failures.")
if __name__ == "__main__":
main()

148
wikipedia/scripts/fetch_enwiki_revisions.py
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#!/usr/bin/env python3
###############################################################################
#
# This script assumes the presence of the COVID-19 repo.
#
# It (1) reads in the article list and then (2) calls the Wikimedia API to
# fetch view information for each article. Output is to (3) JSON and TSV.
#
###############################################################################
import argparse
import logging
import os.path
import json
import datetime
from requests import Request
from csv import DictWriter
from mw import api
import digobs
def parse_args():
parser = argparse.ArgumentParser(description='Call the views API to collect Wikipedia revision data.')
parser.add_argument('-o', '--output_folder', help='Where to save output', default="wikipedia/data", type=str)
parser.add_argument('-i', '--article_file', help='File listing article names', default="wikipedia/resources/enwp_wikiproject_covid19_articles.txt", type=str)
parser.add_argument('-L', '--logging_level', help='Logging level. Options are debug, info, warning, error, critical. Default: info.', default='info', type=digobs.get_loglevel),
parser.add_argument('-W', '--logging_destination', help='Logging destination file. (default: standard error)', type=str),
args = parser.parse_args()
return(args)
def main():
args = parse_args()
output_path = args.output_folder
article_filename = args.article_file
#handle -W
if args.logging_destination:
logging.basicConfig(filename=args.logging_destination, filemode='a', level=args.logging_level)
else:
logging.basicConfig(level=args.logging_level)
export_time = str(datetime.datetime.now())
export_date = datetime.datetime.today().strftime("%Y%m%d")
logging.info(f"Starting run at {export_time}")
logging.info(f"Last commit: {digobs.git_hash()}")
json_output_filename = os.path.join(output_path, f"digobs_covid19-wikipedia-enwiki_revisions-{export_date}.json")
tsv_output_filename = os.path.join(output_path, f"digobs_covid19-wikipedia-enwiki_revisions-{export_date}.tsv")
api_session = api.Session("https://en.wikipedia.org/w/api.php")
# list of properties from the API we want to gather (basically all of
# them supported by mediawik-utilities)
rv_props = {'revid' : 'ids',
'timestamp' : 'timestamp',
'user' : 'user',
'userid' : 'userid',
'size' : 'size',
'sha1' : 'sha1',
'contentmodel' : 'contentmodel',
'tags' : 'tags',
'flags' : 'flags',
'comment' : 'comment',
'content' : 'content' }
exclude_from_tsv = ['tags', 'comment', 'content', 'flags']
# load the list of articles
with open(article_filename, 'r') as infile:
article_list= list(map(str.strip, infile))
def get_revisions_for_page(title):
return api_session.revisions.query(properties=rv_props.values(),
titles={title},
direction="newer")
tsv_fields = ['title', 'pageid', 'namespace']
tsv_fields = tsv_fields + list(rv_props.keys())
# drop fields that we identified for exclusion
tsv_fields = [e for e in tsv_fields if e not in exclude_from_tsv]
# add special export fields
tsv_fields = tsv_fields + ['anon', 'minor', 'url', 'export_timestamp', 'export_commit']
export_info = { 'git_commit' : digobs.git_hash(),
'timestamp' : export_time }
with open(json_output_filename, 'w') as json_output, \
open(tsv_output_filename, 'w') as tsv_output:
tsv_writer = DictWriter(tsv_output, fieldnames=tsv_fields, delimiter="\t")
tsv_writer.writeheader()
for article in article_list:
logging.info(f"pulling revisions for: {article}")
for rev in get_revisions_for_page(article):
logging.debug(f"processing raw revision: {rev}")
# add export metadata
rev['exported'] = export_info
# save the json version of the code
print(json.dumps(rev), file=json_output)
# handle missing data
if "sha1" not in rev:
rev["sha1"] = ""
if "userhidden" in rev:
rev["user"] = ""
rev["userid"] = ""
# recode anon so it's true or false instead of present/missing
if "anon" in rev:
rev["anon"] = True
else:
rev["anon"] = False
# let's recode "minor" in the same way
if "minor" in rev:
rev["minor"] = True
else:
rev["minor"] = False
# add page title information
rev['title'] = rev['page']['title']
rev['pageid'] = rev['page']['pageid']
rev['namespace'] = rev['page']['ns']
# construct a URL
rev['url'] = Request('GET', 'https://en.wikipedia.org/w/index.php',
params={'title' : rev['title'].replace(" ", "_"),
'oldid' : rev['revid']}).prepare().url
rev['export_timestamp'] = export_time
rev['export_commit'] = digobs.git_hash(short=True)
tsv_writer.writerow({k: rev[k] for k in tsv_fields})
if __name__ == "__main__":
main()

105
wikipedia/scripts/wikiproject_scraper.py
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@ -1,105 +0,0 @@
#!/usr/bin/env python3
###############################################################################
#
# This script scrapes the Covid-19 Wikiproject
#
# It (1) hits the fcgi to find out how many rounds. Then (2) hit the fcgi
# that many rounds, cooking that information down to just a list of article names and
# then (3) saves it out.
#
# At time of writing:
# the fCGI returns only 1000 max, no matter what you put in the limit. page 1 looks like this....
# https://tools.wmflabs.org/enwp10/cgi-bin/list2.fcgi?run=yes&projecta=COVID-19&namespace=&pagename=&quality=&importance=&score=&limit=1000&offset=1&sorta=Importance&sortb=Quality
#
# and page 2 looks like this
# https://tools.wmflabs.org/enwp10/cgi-bin/list2.fcgi?namespace=&run=yes&projecta=COVID-19&score=&sorta=Importance&importance=&limit=1000&pagename=&quality=&sortb=Quality&&offset=1001
#
###############################################################################
import argparse
import subprocess
import requests
import datetime
import logging
import re
import math
from bs4 import BeautifulSoup
import digobs
def parse_args():
parser = argparse.ArgumentParser(description='Get a list of pages tracked by the COVID-19 Wikiproject.')
parser.add_argument('-o', '--output_file', help='Where to save output', default="wikipedia/resources/enwp_wikiproject_covid19_articles.txt", type=str)
parser.add_argument('-L', '--logging_level', help='Logging level. Options are debug, info, warning, error, critical. Default: info.', default='info', type=digobs.get_loglevel),
parser.add_argument('-W', '--logging_destination', help='Logging destination file. (default: standard error)', type=str),
args = parser.parse_args()
return(args)
def main():
args = parse_args()
outputFile = args.output_file
#handle -W
if args.logging_destination:
logging.basicConfig(filename=args.logging_destination, filemode='a', level=args.logging_level)
else:
logging.basicConfig(level=args.logging_level)
export_git_hash = subprocess.check_output(['git', 'rev-parse', 'HEAD']).decode().strip()
export_git_short_hash = subprocess.check_output(['git', 'rev-parse', '--short', 'HEAD']).decode().strip()
export_time = str(datetime.datetime.now())
logging.info(f"Starting at {export_time} and destructively outputting article list to {outputFile}.")
logging.info(f"Last commit: {export_git_hash}")
#1 How many hits to the fcgi?
session = requests.Session()
originalURL = "https://tools.wmflabs.org/enwp10/cgi-bin/list2.fcgi?run=yes&projecta=COVID-19&namespace=&pagename=&quality=&importance=&score=&limit=1000&offset=1&sorta=Importance&sortb=Quality"
headURL = "https://tools.wmflabs.org/enwp10/cgi-bin/list2.fcgi?run=yes&projecta=COVID-19&namespace=&pagename=&quality=&importance=&score=&limit=1000&offset="
tailURL = "&sorta=Importance&sortb=Quality" #head + offset + tail = original when offset = 1
# find out how many results we have
response = session.get(originalURL)
soup = BeautifulSoup(response.text, features="html.parser")
nodes = soup.find_all('div', class_="navbox")
rx = re.compile("Total results:\D*(\d+)")
m = rx.search(nodes[0].get_text())
#print(nodes[0].get_text())
numResults = int(m.group(1))
logging.debug(f"fcgi returned {numResults}")
rounds = math.ceil(numResults/1000)
#2 Fetch and parse down to just the article names
articleNames = []
for i in range(1, rounds+1):
offset = (i - 1)*1000 + 1 #offset is 1, then 1001, then 2001
url = f"{headURL}{offset}{tailURL}"
response = session.get(url)
soup = BeautifulSoup(response.text, features="html.parser") #make fresh soup
article_rows = soup.find_all('tr', class_="list-odd") #just the odds first
for row in article_rows:
a = row.find('a')
articleNames.append(a.get_text())
article_rows = soup.find_all('tr', class_="list-even") #now the events
for row in article_rows:
a = row.find('a')
articleNames.append(a.get_text())
#3 Saves the list to a file
with open(outputFile, 'w') as f:
f.write('\n'.join(articleNames)+'\n')
logging.debug(f"Finished scrape and made a new article file at {datetime.datetime.now()}")
if __name__ == "__main__":
main()

7715
wikipedia_views/data/dailyviews2020032600.json Normal file
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858
wikipedia_views/data/dailyviews2020032600.tsv Normal file
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access agent article granularity project timestamp views
all-access all-agents 2019–20_coronavirus_pandemic daily en.wikipedia 2020032600 1148284
all-access all-agents Coronavirus_disease_2019 daily en.wikipedia 2020032600 292272
all-access all-agents Severe_acute_respiratory_syndrome_coronavirus_2 daily en.wikipedia 2020032600 76785
all-access all-agents Misinformation_related_to_the_2019–20_coronavirus_pandemic daily en.wikipedia 2020032600 26004
all-access all-agents Social_distancing daily en.wikipedia 2020032600 20480
all-access all-agents Transmission_(medicine) daily en.wikipedia 2020032600 4232
all-access all-agents Contact_tracing daily en.wikipedia 2020032600 1496
all-access all-agents 2019–20_coronavirus_pandemic_by_country_and_territory daily en.wikipedia 2020032600 298603
all-access all-agents Timeline_of_the_2019–20_coronavirus_pandemic daily en.wikipedia 2020032600 23011
all-access all-agents 2020_coronavirus_pandemic_in_Asia daily en.wikipedia 2020032600 12921
all-access all-agents 2020_stock_market_crash daily en.wikipedia 2020032600 11179
all-access all-agents Acute_respiratory_distress_syndrome daily en.wikipedia 2020032600 7729
all-access all-agents Impact_of_the_2019–20_coronavirus_pandemic_on_cinema daily en.wikipedia 2020032600 7637
all-access all-agents World_Health_Organization daily en.wikipedia 2020032600 47129
all-access all-agents 2019–20_coronavirus_pandemic_in_mainland_China daily en.wikipedia 2020032600 51344
all-access all-agents 2020_Hubei_lockdowns daily en.wikipedia 2020032600 16470
all-access all-agents 2020_coronavirus_pandemic_in_Europe daily en.wikipedia 2020032600 41800
all-access all-agents 2020_coronavirus_pandemic_in_Iran daily en.wikipedia 2020032600 26916
all-access all-agents 2020_coronavirus_pandemic_in_Italy daily en.wikipedia 2020032600 297687
all-access all-agents 2020_coronavirus_pandemic_in_North_America daily en.wikipedia 2020032600 8528
all-access all-agents 2020_coronavirus_pandemic_in_Oceania daily en.wikipedia 2020032600 3195
all-access all-agents 2020_coronavirus_pandemic_in_South_America daily en.wikipedia 2020032600 4458
all-access all-agents 2020_coronavirus_pandemic_in_South_Korea daily en.wikipedia 2020032600 28623
all-access all-agents 2020_coronavirus_pandemic_in_the_United_Kingdom daily en.wikipedia 2020032600 111856
all-access all-agents COVID-19_drug_development daily en.wikipedia 2020032600 5909
all-access all-agents COVID-19_testing daily en.wikipedia 2020032600 52907
all-access all-agents COVID-19_vaccine daily en.wikipedia 2020032600 19644
all-access all-agents Chloroquine daily en.wikipedia 2020032600 40958
all-access all-agents Coronavirus daily en.wikipedia 2020032600 397959
all-access all-agents Grand_Princess daily en.wikipedia 2020032600 1860
all-access all-agents Huanan_Seafood_Wholesale_Market daily en.wikipedia 2020032600 23413
all-access all-agents Impact_of_the_2019–20_coronavirus_pandemic_on_politics daily en.wikipedia 2020032600 1662
all-access all-agents National_responses_to_the_2019–20_coronavirus_pandemic daily en.wikipedia 2020032600 3936
all-access all-agents Tedros_Adhanom daily en.wikipedia 2020032600 36307
all-access all-agents 2020_coronavirus_pandemic_in_Africa daily en.wikipedia 2020032600 17394
all-access all-agents Remdesivir daily en.wikipedia 2020032600 28887
all-access all-agents Angiotensin-converting_enzyme_2 daily en.wikipedia 2020032600 12059
all-access all-agents Case_chronology_of_the_2019–20_coronavirus_pandemic_in_March_2020 daily en.wikipedia 2020032600 1
all-access all-agents List_of_deaths_from_the_2019–20_coronavirus_pandemic daily en.wikipedia 2020032600 9936
all-access all-agents List_of_events_affected_by_the_2019–20_coronavirus_pandemic daily en.wikipedia 2020032600 3746
all-access all-agents Timeline_of_the_2019–20_coronavirus_pandemic_in_February_2020 daily en.wikipedia 2020032600 9543
all-access all-agents Timeline_of_the_2019–20_coronavirus_pandemic_in_March_2020 daily en.wikipedia 2020032600 18731
all-access all-agents Timeline_of_the_2019–20_coronavirus_pandemic_in_November_2019_–_January_2020 daily en.wikipedia 2020032600 15929
all-access all-agents 2020_coronavirus_pandemic_in_Canada daily en.wikipedia 2020032600 75601
all-access all-agents 2020_coronavirus_pandemic_in_Denmark daily en.wikipedia 2020032600 15541
all-access all-agents 2020_coronavirus_pandemic_in_the_United_States daily en.wikipedia 2020032600 337676
all-access all-agents 2019–20_coronavirus_pandemic_in_Hubei daily en.wikipedia 2020032600 3229
all-access all-agents 2019–20_coronavirus_pandemic_in_Shanghai daily en.wikipedia 2020032600 332
all-access all-agents 2020_coronavirus_pandemic_in_Australia daily en.wikipedia 2020032600 86969
all-access all-agents 2020_coronavirus_pandemic_in_Azerbaijan daily en.wikipedia 2020032600 2998
all-access all-agents 2020_coronavirus_pandemic_in_Belgium daily en.wikipedia 2020032600 27107
all-access all-agents 2020_coronavirus_pandemic_in_Bosnia_and_Herzegovina daily en.wikipedia 2020032600 4817
all-access all-agents 2020_coronavirus_pandemic_in_Bulgaria daily en.wikipedia 2020032600 13634
all-access all-agents 2020_coronavirus_pandemic_in_California daily en.wikipedia 2020032600 24400
all-access all-agents 2020_coronavirus_pandemic_in_Croatia daily en.wikipedia 2020032600 10989
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#!/usr/bin/env python3
###############################################################################
#
# This script assumes the presence of the COVID-19 repo.
#
# It (1) reads in the article list and then (2) calls the Wikimedia API to
# fetch view information for each article. Output is to (3) JSON and TSV.
#
###############################################################################
import requests
import argparse
import json
import csv
import time
import os.path
import datetime
#import feather
def parse_args():
parser = argparse.ArgumentParser(description='Call the views API repeatedly.')
parser.add_argument('-o', '--output_folder', help='Where to save output', default="../data/", type=str)
parser.add_argument('-i', '--article_file', help='File listing article names', default="../resources/articles.txt", type=str)
parser.add_argument('-d', '--query_date', help='Date if not yesterday, in YYYYMMDD format please.', type=str)
args = parser.parse_args()
return(args)
def main():
args = parse_args()
outputPath = args.output_folder
articleFile = args.article_file
if (args.query_date):
queryDate = args.query_date
else:
yesterday = datetime.datetime.today() - datetime.timedelta(days=1)
queryDate = yesterday.strftime("%Y%m%d")
queryDate = queryDate + "00" #requires specifying hours
articleList = []
#1 Load up the list of article names
j_Out = f"{outputPath}dailyviews{queryDate}.json"
t_Out = f"{outputPath}dailyviews{queryDate}.tsv"
with open(articleFile, 'r') as infile:
next(infile) #skip header
articleList = list(infile)
j = []
#2 Repeatedly call the API with that list of names
for a in articleList:
a = a.strip("\"\n") #destringify
url= f"https://wikimedia.org/api/rest_v1/metrics/pageviews/per-article/en.wikipedia/all-access/all-agents/{a}/daily/{queryDate}/{queryDate}"
response = requests.get(url)
if response.ok:
jd = json.loads(response.content)
j.append(jd["items"][0])
time.sleep(.1)
else:
print(f"Not ok response: {response.status_code} from {url}")
#3 Save results as a JSON and TSV
#all data in j now, make json file
with open(j_Out, 'w') as j_outfile:
json.dump(j, j_outfile, indent=2)
with open(t_Out, 'w') as t_outfile:
dw = csv.DictWriter(t_outfile, sorted(j[0].keys()), delimiter='\t')
dw.writeheader()
dw.writerows(j)
# f_Out = outputPath + "dailyviews" + queryDate + ".feather"
# read the json back in and make a feather file?
if __name__ == "__main__":
main()