User-generated health data from internet search and social media to inform public health and public policy responses
Link Drop
Got another link for this page? Put it here.
✏️ Edit this document to make it better ✏️
🌎🔗 https://github.com/microsoft/BingCoronavirusQuerySet
This dataset was curated from the Bing search logs (desktop users only) over the period of Jan 1st, 2020 – April 18th, 2020.Only searches that were issued many times by multiple users were included. Dataset includes queries from all over the world that had an intent related to the Coronavirus or Covid-19. In some cases this intent is explicit in the query itself, e.g. “Coronavirus updates Seattle” in other cases it is implicit , e.g. “Shelter in place” .Implicit intent of search queries (e.g. Toilet paper) were extracted by using Random walks on the click graph approach as outlined in this paper by Microsoft Research. All personal data was removed.
🔗https://googletrends.github.io/data/
Daily Google Trends data for 40 countries on:
🌎🔗 https://docs.google.com/spreadsheets/d/1roQeJkDBH2d2UGV85HzwAmxOHwehV2te4X7YzRcWqDI
Search term variation data on Coronavirus (i.e., what people google when they google “coronavirus”) Geographical scope: Various languages and countries (including Italy, Netherlands, France, Germany, Belgium, US, Mexico, Brazil, Colombia, Norway, Switzerland, UK)
Data has been collecting on a near-daily basis since 20/01/2020
🌎🔗https://docs.google.com/spreadsheets/d/1elbDJU7WPPv5s2-rS8K9M53Og-gvCm5pV2kN87BLxpk/edit?usp=sharing
Long lists of Coronavirus keywords with estimated search volumes for 9 countries, sourced from the search engine marketing tool SEMrush. Covers UK, Italy, India, USA, Australia, France, Germany, Spain, Brazil. As at 14 March 2020.
Coronavirus search term variation data in French for Madagascar from Answer The Public (as at 6 April 2020):
MG 🔗https://docs.google.com/spreadsheets/d/1DBcm9Y6ZCOoh61RNeCjROpXTJ76RiFWh_cVABTaDRe8/edit#gid=0
Search term variation data from Hitwise on Coronavirus (as at 25 Jan 2020) - that is, what people google when they google “Coronavirus”
🇬🇧🔗 https://docs.google.com/spreadsheets/d/19Sc2M3zP-OwQjdwefTvW54vwsIJ0JpSAYL_cCYD1DTE/edit?usp=sharing
Search term variation data for the UK by County, City & Town, extracted from the Bing Coronavirus Search Query Set. April 2020.
🔗 https://onlinelibrary.wiley.com/doi/abs/10.1002/alr.22580
🔗 https://github.com/vlampos/covid-19-online-search/blob/master/covid-19-online-search.pdf
🔗 https://publichealth.jmir.org/2020/2/e18941/
🔗 https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3571252
🔗 https://www.sciencedirect.com/science/article/pii/S0889159120305511
🗣 https://twitter.com/arturstrzelecki
🔗 https://arxiv.org/pdf/2004.07183v1.pdf
🔗 https://cepr.org/sites/default/files/news/CovidEconomics20.pdf#Paper2
🗣 https://twitter.com/JeanetBentzen
🔗 https://www.medrxiv.org/content/10.1101/2020.05.01.20087858v1
🗣 [email protected]; [email protected]
🔗 https://www.pnas.org/content/early/2020/05/01/2005335117
🗣 [email protected]; [email protected]
🔗 https://dash.harvard.edu/handle/1/42669767
🗣 [email protected]; [email protected]
🔗 https://trends.google.com/trends/
To request Google Trends API access:
🔗 https://docs.google.com/forms/d/e/1FAIpQLSenHdGiGl1YF-7rVDDmmulN8R-ra9MnGLLs7gIIaAX9VHPdPg/viewform
🔗 https://answerthepublic.com/
🗣 https://twitter.com/answerthepublic
Instant, raw search insights on any keyword, compiled from Google autocomplete suggestions, with csv download
🔗 USA: https://www.berlinquette.com/anosmia-searches
🔗 Tanzania: https://www.berlinquette.com/anosmia-google-searches-tanzania
Interactive visualization of Google searches for anosmia / loss of smell in the most populated cities in the US and Tanzania. Built in Google Data Studio, so data is downloadable in csv.
🔗 https://www.coronasearch.live/
🗣 https://twitter.com/WarmSpeakers
Currently, people in China use VPN's (Virtual Private Networks) to bypass censorship, and Google info about the Coronavirus (COVID-19). This website compiles these Google searches, word for word, in real-time. Built in Google Data Studio, so data is downloadable in csv.
🔗 https://public.flourish.studio/visualisation/1512938/
🗣 https://twitter.com/ColeyBird
Evolution of UK public's concerns over time during 2020, as revealed by searches beginning "Should I..."
🔗 https://www.bennettinstitute.cam.ac.uk/blog/how-can-google-search-help-covid-19-response/
Bennett Institute for Public Policy, University of Cambridge
"Coronavirus Google Searches Could Save Lives"
🔗 https://onezero.medium.com/google-needs-to-share-the-data-from-coronavirus-searches-62e6f60cc363
OneZero
🔗 https://www.nytimes.com/2020/04/05/opinion/coronavirus-google-searches.html
🔗 https://medium.com/@miahusic/sniffing-out-covid-19-with-google-search-trends-46f80ea83e2f
🗣 https://medium.com/@miahusic
🗣 https://twitter.com/tomwfranck
🔗 https://www.semrush.com/blog/search-trends-coronavirus/
SEMRush
🗣 https://twitter.com/chrisbaraniuk
OneZero
🔗https://mtega.com/2020/05/smells-like-trouble-google-searches-as-a-sign-of-covid-19/
🔗https://mashable.com/article/google-ads-data-coronavirus/?europe=true
🗣 https://twitter.com/MattBinder
Mashable
🔗 https://ocean.sagepub.com/blog/methods-innovation/using-internet-search-data-in-the-covid19-response
SAGE Ocean
BBC News
🗣 https://twitter.com/ADCuthbertson
The Independent
🌎🔗http://www.panacealab.org/covid19/
Dataset of tweets acquired from the Twitter Stream related to COVID-19. Includes all language, with English, Spanish, and French most prevalent.
🌎🔗https://github.com/echen102/COVID-19-TweetIDs
The repository contains an ongoing collection of tweets IDs associated with COVID-19.
🌎🔗https://developer.twitter.com/en/docs/labs/covid19-stream/overview
A streaming endpoint into Twitter Developer Labs.
Returns tweets based on Twitter's internal COVID-19 Tweet annotation and a set of defined parameters Twitter believes deliver a comprehensive view of the conversation around this topic.
🔗https://covid19-mentions-db.com/
Our goal is to collect all mentions to JCOVID-19 starting from December 1, 2019, from Twitter, Facebook and Instagram in one database and provide access to this information for all researchers, journalists, and OSINT specialists.