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The core content of this Data section focuses on data sets that can be downloaded and analyzed in formats such as XML and .csv. The section begins with repositories of existing data sets, followed by key existing data sets categorized by type. Later in the data section, there are requests for data sets people would like to analyze. Country-specific and subnational data sets are listed by country at the end of the Data section.
Other relevant sections of this handbook
Data Visualizations and Infographics
To keep the Data section focused on data sets, the various charts, graphics, and maps created with the data go in the Infographics section.
See also:
🔗https://coronavirustechhandbook.com/infographics
Data Tools
Scripts, codes, methods and technical resources for working with COVID-19 data
See also:
🔗 https://coronavirustechhandbook.com/data-tools
Self-reported Data and Crowdsourcing
Crowdsourcing epidemiological data,
See also:
🔗https://coronavirustechhandbook.com/self-reporting
Data Governance and Data Standards
Recommendations for how to work with COVID-19 data.
See also:
🔗https://coronavirustechhandbook.com/data-governance
🔗https://twitter.com/ErinSandersNP/status/1250081382241579008
🔗https://docs.google.com/document/d/1JWeD1AaIGKMPry_EN8GjIqwX4J4KLQIAqP09exZ-ENI/edit#
A repository for data collaboratives seeking to address the spread of COVID-19 and its secondary effects. Created by The Governance Lab (GovLab) based at New York University.
Search, retrieve, and analyze SARS-CoV-2 GenBank data, from US National Library of Medicine (NLM).
🔗https://docs.google.com/spreadsheets/d/1N_aVyjQWBzPT_MHiAWyoEqNgX4nKkoU7FznVZpvFTu0/edit?usp=sharing
Directory of Coronavirus-related data providers categorised by geographical focus, type of data, data features, status (complete?), date last updated, date added.
Produced by the Evidence for Policy and Practice research center at University College, London. Focuses on evidence synthesis and research application. An Evidence Map categorises datasets by topic (e.g. diagnosis, health impacts, economic impacts). Updates weekly.
🌏🔗https://data.humdata.org/event/covid-19
Humanitarian Data Exchange repository of COVID-19 datasets with option to filter by variables relevant to humanitarian response.
🔗http://open-source-covid-19.weileizeng.com/
A global collection of Open Source projects during COVID-19. Includes data, APIs, dashboards, research and crowd collected lists.
🔗https://odileeds.org/projects/open-data-saves-lives/covid19/data-hub/
Open Data Institute (ODI) Leeds:This is a document to openly collate useful open data sources and references related to COVID-19, to support our collaborative #OpenDataSavesLives coronavirus work
🔗https://www.notion.so/d44664abc5424dd191fc7bab29685983?v=ae0f06065b0c47e2afbdd7f4fca4e2c4
COVID-19 Data sources compiled by GraphExt, a data science for business firm.
🔗https://www.openicpsr.org/openicpsr/covid19
A free self-publishing option for social/behavioral datasets related to COVID-19 provided by the Inter-university Consortium for Political and Social Research.
🔗https://github.com/beoutbreakprepared/nCoV2019
Includes data on comorbidities from Global Burden of Disease.
🔗https://docs.google.com/spreadsheets/d/1w4czUYSQ1AfOxw-H3Zei5LZAvNkQrSAGeIu60aeXkZs/edit#gid=0
Table of Possible Covid Datasets that includes the source of the data, notable features, a short description, how to access the data and a link [around 95 datasets as of 21 March 2020].
🔗https://archive-it.org/collections/13529
A collection to preserve web content related to the ongoing Novel Coronavirus (Covid-19) outbreak. Created by the Content Development Group of the International Internet Preservation Consortium in collaboration with Archive-It.
🔗https://lionbridge.ai/datasets/coronavirus-datasets-from-every-country/
Some of the most widely-used coronavirus datasets. This article will be continuously updated, as new COVID-19 datasets become available.
Datasets and databases for the study of COVID-19 categorize by topic. Country-specific data is listed by country at the end of the Data section.
The dataset and dashboard from Johns Hopkins University (JHU) have played a major role in tracking cases of COVID-19. This section includes a link to the JHU data as well as adaptations of that data.
🌏🔗https://github.com/CSSEGISandData/COVID-19
Data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Also, Supported by ESRI Living Atlas Team and the Johns Hopkins University Applied Physics Lab (JHU APL). Includes cases, km, recoveries. Regular updates and data from the 14 largest government agencies.
The Johns Hopkins daily US and worldwide figures on COVID-19. CSV.
🌏🔗https://github.com/datasets/covid-19
Sourced from Johns Hopkins CSSE, consolidated into normalized time series
🌏🔗https://datahub.io/core/covid-19
Coronavirus time series listing confirmed cases, deaths and recoveries.
🌏🔗https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset
Day level information on COVID-19 affected cases based on Johns Hopkins dataset.
🔗https://covid-19.datasettes.com/
Johns Hopkins daily reports loaded into Datasette, so you can run SQL queries against it and export JSON or CSV.
This section contains case data from sources other than Johns Hopkins University. Country-specific and subnational datasets are listed at the end of the data section.
Daily worldwide figures on COVID-19 cases and deaths from the ECDC. Excel, CSV, JSON, XML.
Each record includes First confirmed imported COVID-19 pneumonia patient in Shenzhen (from Wuhan): male, 66, Shenzhen residence, visited relatives in Wuhan on 12/29/2019, symptoms onset on 01/03/2020, returned to Shenzhen and sought medical care on 01/04/2020, hospitalized on 01/11/2019, sample sent to China CDC for testing on 01/18/2020, confirmed on 01/19/2020. 8 others under medical observation, contact tracing ongoing.
CH🔗https://wwwnc.cdc.gov/eid/article/26/7/20-0282_article
Appendix 1 of this
🌏🔗https://en.wikipedia.org/wiki/Template:2019%E2%80%9320_coronavirus_pandemic_data/
Daily case data by country from World Health Organization situation reports.
🌏🔗https://spreadsheetjournalism.com/2020/04/22/corona-virus-spreadsheet-requires-excel-365/
Data source; The European Centre for Disease Prevention and Control. The workbook also features a sheet enabling the user to enter any country name in an auto-complete text box along with any time span, disclosing data for that country across the span. NOTE: requires access to the Excel 365 version.
Maintained by Dimensions from Digital Science, this spreadsheet contains detailed data about COVID-19 clinical trials, publications, and other databases.
🌏🔗https://clinicaltrials.gov/ct2/results?cond=COVID&term=&cntry=&state=&city=&dist=
US National Institutes of Health (NIH) National Library of Medicine (NLM) database of COVID-19 clinical trials around the world. Showing 360+ studies as of April 7, 2020.
🌏🔗http://epidemicforecasting.org/containment
The COVID-19 forecasting project at Oxford curates a database of all sufficiently large global containment and mitigation measures focused on reducing transmission.
🌏🔗https://figshare.com/articles/CORD-19-policy_dataset/12055860/2
A zip file of policy documents from Jan 1st - Mar 31st 2020 relating to the COVID-19 pandemic. Provided by policy consulting firm Overton.
🌏🔗 https://www.acaps.org/covid19-government-measures-dataset
The COVID-19 Government Measures Dataset puts together all the measures implemented by governments worldwide in response to the Coronavirus pandemic. Data collection includes secondary data review. The researched information available falls into five categories: - Social distancing - Movement restrictions - Public health measures - Social and economic measures - Human rights implications. Each category is broken down into several types of measures. ACAPS consulted government, media, United Nations, and other organisational sources.
🌏🔗https://docs.google.com/spreadsheets/d/1ODDaxKJMG2QBy00-KC0od75SIdNzn_Nuk_d_SAMedYE/edit#gid=0
An anonymous open spreadsheet summarizing responses by country.
🔗https://docs.google.com/spreadsheets/d/1roQeJkDBH2d2UGV85HzwAmxOHwehV2te4X7YzRcWqDI
Further 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 collected almost daily since 20/01/2020
🌎🔗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://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.
🌎🔗 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.
Location and Movement
Location and movement data relevant to, but not necessarily specific to, COVID-19.
🌏🔗https://www.blog.google/technology/health/covid-19-community-mobility-reports
Country-level reports from Google reports chart movement trends over time by geography, across different categories of places. Reports do not include raw data.
🌏🔗 https://www.apple.com/covid19/mobility
Data from Apple on changes in use of the their 'driving', 'walking' and 'transit' queries to their 'Maps' app.
Data on restaurant business by the booking platform OpenTable with daily updates.
Percentage of people moving in cities compared to January.
🗣Parker Ence: [email protected]
Veraset Data. Free dataset (for use for COVID-19 modelling only) of anonymous always-on GPS pings from smart phones. Hourly pings from roughly 1.5% of worldwide phones every hour (and pings from almost 10% of U.S. phones). Available on request.
🌏🔗https://purple.ai/global-footfall-trends/
Year-on-year and week-to-week comparison by geographic region/venue type from guest WiFi analytics firm purpleAI. NOTE: There doesn't seem to be any raw data available here, only charts.
Datasets about healthcare and hospitals relevant to, but not necessarily specific to, COVID-19.
🌏🔗https://docs.google.com/spreadsheets/d/1nSDwFWmnqvcP5Ut_epcntxjZrR8PcnU6enupT8G5d0s/
Global Dataset on ICU, Ventilators and Critical Care Capacity from Our World in Data.
🌏🔗https://github.com/owid/covid-19-data/tree/master/public/data/testing
Data by Our World in Data on rate of Coronavirus testing for countries around the world.
🔗🇭🇰https://www.medrxiv.org/content/10.1101/2020.03.30.20045740v2.supplementary-material
Dataset included as supplementary material to the pre-print "A territory-wide study of early COVID-19 outbreak in Hong Kong community."
An open data commons of health facility data built with OpenStreetMap.
🌏🔗https://github.com/healthsites/healthsites/
Healthsites.io establishes this data and the tools necessary to upload, manage and make healthcare facility data easily accessible.
🔗https://github.com/healthsites/healthsites/wiki/API
🌏🔗https://en.wikipedia.org/wiki/List_of_countries_by_hospital_beds
Wikipedia page reporting hospital beds per 1000 people, based on OECD data.
Countries are grouped by regions as organized by the UN Statistical Agency https://unstats.un.org/unsd/methodology/m49/
https://github.com🔗 /dsfsi/covid19africa
🇬🇭🔗https://ghanahealthservice.org/covid19/
🇿🇦🔗 https://github.com/dsfsi/covid19za
🔗https://carpha.org/What-We-Do/Public-Health/Novel-Coronavirus
COVID-19 Situation Reports for populations in Caribbean region from CARPHA.
🇨🇦🔗https://www150.statcan.gc.ca/n1/pub/71-607-x/71-607-x2020009-eng.htm
Downloadable data used to create Statistics Canada's economic dashboard and interactive case map.
Also titled the "Epidemiological Data from the COVID-19 Outbreak in Canada
🇨🇦🔗https://www.alberta.ca/stats/covid-19-alberta-statistics.htm
Under the "Data export" tab, details include Zone and demographic information (gender and age group), case status.
🇺🇸🔗https://www.safegraph.com/dashboard/covid19-commerce-patterns
An interesting dataset showing how the pandemic has changed foot traffic to Airports, Costco stores, etc. They suggest their data is voluntarily sampled and is representative of the U.S. population.
🇺🇸🔗 https://github.com/JieYingWu/COVID-19_US_County-level_Summaries
A machine readable dataset by people at Johns Hopkins University that aggregates relevant data from around ten governmental and academic sources on the county-level. The dataset contains more than 300 variables.
Volunteer-driven project compiling the most complete testing data available for US states and territories.
🇺🇸🔗https://www.cdc.gov/coronavirus/2019-ncov/index.html
US Centers for Disease Control and Prevention (CDC) Coronavirus data.
🇺🇸🔗https://www.cdc.gov/datastatistics/index.html
Health data from US Centers for Disease Control and Prevention (CDC). Not COVID-19 specific.
🇺🇸🔗https://covidtracking.com/race
The COVID Racial Data Tracker is a collaboration between the COVID Tracking Project and the Center for Antiracist Research. Together, we’re gathering the most complete race and ethnicity data on COVID-19 in the United States.
Word document with tables breaking down data by county, demographics, and individual patients.
🇺🇸🔗https://coronavirus.ohio.gov/wps/portal/gov/covid-19/dashboards
Data from Ohio Department of Health and downloadable as CSV.
🇺🇸🔗https://www.health.pa.gov/topics/disease/Pages/Coronavirus.aspx
Pennsylvania cases by county.
Total confirmed Coronavirus cases as reported by Department of Health. Data pulled nightly from TN Dept of Health website. Created by Vanderbilt Initiative for Interdisciplinary Geospatial Research (VIIGR).
🇺🇸🔗https://www.dshs.texas.gov/news/updates.shtm
Texas cases over time as Excel file.
🇺🇸🔗http://www.vdh.virginia.gov/surveillance-and-investigation/novel-coronavirus/
Virginia case datasets by age, sex, and race.
🇺🇸🔗https://www.doh.wa.gov/Emergencies/Coronavirus
Archive of daily reports from WA Includes table of cases and deaths by county.
🇺🇸🔗https://docs.google.com/spreadsheets/d/1bWjx_QDy-Mbg-ZUVUS-RP9hIVbxdAYJITSeSdjej4HQ/edit?usp=sharing
Google sheet compiling daily updates from Washington Department of Health.
🇺🇸🔗https://github.com/nychealth/coronavirus-data/blob/master/tests-by-zcta.csv
This repository contains data on Coronavirus (COVID-19) in New York City (NYC), updated daily. Data are assembled by the NYC Department of Health and Mental Hygiene (DOHMH) Incident Command System for COVID-19 Response (Surveillance and Epidemiology Branch in collaboration with Public Information Office Branch.
🔗https://data.gov.hk/en-data/dataset/hk-dh-chpsebcddr-novel-infectious-agent
🇮🇩🔗https://data.kemkes.go.id/data/dhis-web-commons/security/login.action#/yHsQKWcr6Sz
Indonesia- Requires log-in.
🇯🇵🔗https://www.mhlw.go.jp/stf/seisakunitsuite/bunya/0000164708_00001.html
🇯🇵🔗https://www.mhlw.go.jp/stf/seisakunitsuite/bunya/newpage_00032.html
🇯🇵🔗https://www.mhlw.go.jp/stf/seisakunitsuite/bunya/0000121431_00086.html
🇯🇵🔗https://stopcovid19.metro.tokyo.lg.jp/en/
🇵🇰🔗https://www.nih.org.pk/novel-coranavirus-2019-ncov/
🇸🇬🔗https://www.moh.gov.sg/covid-19
South Korea provides open access to researchers for all COVID-19 patients based on their insurance claims for the past five years. Researchers must provide approval or exemption of the study from IRB review. To apply for research using this data, submit a 1-page research proposal either in Korean or English and a signed data use agreement as described in the Manual.
🇪🇺🔗https://www.ecdc.europa.eu/en/publications-data
🇪🇺🔗https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
🇪🇺🔗https://www.ecdc.europa.eu/en/cases-2019-ncov-eueea
🇪🇺🔗https://data.europa.eu/euodp/en/data/dataset/covid-19-coronavirus-data
Direct access to the dataset of the latest available public data (daily situation)
EuroMOMO is a European mortality monitoring activity, aiming to detect and measure excess deaths related to seasonal influenza, pandemics and other public health threats. Official national mortality statistics are provided weekly from the 24 European countries in the EuroMOMO collaborative network, supported by the European Centre for Disease Prevention and Control (ECDC) and the World Health Organization (WHO).
🇧🇪🔗https://docs.google.com/spreadsheets/d/1AI4x1RHcnrEU7Qdn_H25sL9tHIgGN4-fCP20NDzTltk/edit?usp=sharing
Belgium Data (no source)
🇨🇿🔗https://onemocneni-aktualne.mzcr.cz/covid-19
Includes open datasets and newly validated datasets, especially reviews of hospitalized patients.
🇫🇮🔗https://github.com/HS-Datadesk/koronavirus-avoindata#direct-interface-to-hs-data
🇫🇷🔗https://www.data.gouv.fr/fr/datasets/donnees-des-urgences-hospitalieres-et-de-sos-medecins-relatives-a-lepidemie-de-covid-19/ & https://github.com/opencovid19-fr/data
French government datasets on COVID-19.
🇫🇷🔗https://docs.google.com/spreadsheets/d/1elbDJU7WPPv5s2-rS8K9M53Og-gvCm5pV2kN87BLxpk/edit?usp=sharing
Long lists of coronavirus keywords with estimated search volumes, sourced from the search engine marketing tool SEMrush.
🇫🇷🔗 https://github.com/opencovid19-fr/data
Source: French Gov. Open data platform
🇫🇷🔗https://mapthenews.maps.arcgis.com/apps/opsdashboard/index.html#/5e09dff7cb434fb194e22261689e2887
Dataviz, French case numbers, updated on a daily basis
Source : Santé publique France
🇩🇪🔗https://www.rki.de/DE/Content/InfAZ/N/Neuartiges_Coronavirus/Fallzahlen.html
Robert Koch institute’s numbers of cases in Germany, by state
🇩🇪🔗https://github.com/micgro42/COVID-19-DE
Robert Koch institute's numbers of cases in Germany as CSV timeline
🇩🇪🔗https://www.rki.de/DE/Content/InfAZ/N/Neuartiges_Coronavirus/nCoV.html
German Case Numbers
🇬🇷🔗https://docs.google.com/spreadsheets/d/1GVBY3Yy1wSzmmjwest78fVlNuH7GT7XirCWSHO7CZow/edit#gid=0
Greek case numbers, from the ministry of health press releases, updated every day
🇭🇺🔗https://atlo.team/koronamonitor
Hungarian case numbers and maps, updated every day
🇭🇺🔗https://koronavirus.sixdegrees.hu/
Another data source with daily updates and a rudimentary SIR forecast
Official data from the Department of Civil Protection and Emergency Management in dashboard
🇮🇸🔗https://www.almannavarnir.is/utgefid-efni/
Official daily status reports
🇮🇹🔗 https://github.com/pcm-dpc/COVID-19
Italian data from government. The @DPCgov shared all latest #COVID19 data on @github: National trend - JSON data - Provinces data - Regions data - Summary cards - Areas
🇮🇹🔗http://www.salute.gov.it/nuovocoronavirus
Italy Ministry of Health
🇮🇹🔗https://data.humdata.org/organization/isi-foundation-cuebiq-inc
This is a joint organization between the ISI Foundation, a research institute based in Turin Italy, and Cuebiq Inc. a location intelligence company.
Italian Outbreak Dashboard - WFP Emergency Division
🇮🇹🔗 https://github.com/pcm-dpc/COVID-19
Data Release by Italian Government
🇮🇹🔗https://www.epicentro.iss.it/coronavirus/bollettino/Report-COVID-2019_17_marzo-v2.pdf
Report sulle caratteristiche dei pazienti deceduti positivi a COVID-19 in Italia Il presente report è basato sui dati aggiornat (Report on the characteristics of COVID-19 positive patients who died in Italy This report is based on updated data) (Information on previous illnesses of victims, in Italian)
Epidemia COVID-19 Aggiornamento nazionale 12 marzo 2020 – ore 16:00 (Information on casualties by gender, with 70% being men)
COVID-19 - Kosovo
Состојба со корона вирус (COVID - 19) во Македонија
🇳🇱🔗 https://www.rivm.nl/nieuws/actuele-informatie-over-coronavirus
Current Information about Coronavirus
🇳🇱🔗https://tinyurl.com/covid19-nl
Tracking of COVID-19 in The Netherlands | Google Sheets
🇵🇹🔗https://covid19.min-saude.pt/relatorio-de-situacao/
https://github.com/dssg-pt/covid19pt-data
Cases and death time series with breakdown by age and region (data.csv)
🇸🇮🔗http://gdiljubljana.maps.arcgis.com/apps/opsdashboard/index.html#/
1cf4f90e05984ae5a365f4838f746138
Prisotnost koronavirusa (COVID-19) v Sloveniji in ukrepi
COVID-19 v Sloveniji
Koronavírus na Slovensku- Overené fakty o stave, prevencii a boji s koronavírusom na Slovensku monitoruje Národné centrum zdravotníckych informácií v súčinnosti s Úradom vlády Slovenskej republiky.
🇪🇸Spain
🔗https://covid19.isciii.es/ & https://github.com/datadista/datasets/tree/master/COVID%2019
Coronavirus data for Spain. CSV files available (see bottom left for the first link).
🇪🇸🔗https://docs.google.com/spreadsheets/d/1elbDJU7WPPv5s2-rS8K9M53Og-gvCm5pV2kN87BLxpk/edit?usp=sharing
Long lists of coronavirus keywords with estimated search volumes, sourced from the search engine marketing tool SEMrush.
Spanish Health Ministry page on the virus.
🇪🇸🔗https://github.com/victorvicpal/COVID19_es
Spain csv data
🔗https://github.com/openZH/covid_19
🇬🇧🔗https://coronavirus.data.gov.uk/
🇬🇧🔗https://blog.ons.gov.uk/2020/03/31/counting-deaths-involving-the-coronavirus-covid-19
Round-up by UK's Office for National Statistics (ONS) of Coronavirus data they've published.
Potential COVID-19 symptoms reported through NHS Pathways and 111 online.
🇬🇧🔗https://www.publichealth.hscni.net/news/covid-19-coronavirus
🇬🇧🔗https://www.covidlive.co.uk/
Coronavirus Live UK - live map showing confirmed cases of Coronavirus in the UK with facility to report your own self-isolation.
🇬🇧🔗https://lginform.local.gov.uk/reports/view/lga-research/
covid-19-case-tracker-area-quick-view-1?mod-area=E08000019
LGA dashboard of cases by local authority, with comparators
🇬🇧🔗https://www.getthedata.com/covid-19/utla-by-day
Archive of the PHE Cases by Local Authority files - Each file from March 16th archived and available to download.
🇬🇧🔗https://docs.google.com/spreadsheets/d/1eTKeK9vRxgw0KhvKxPCaDrfaHnxQP-n9TsLzsEymviY/htmlview
Google sheet tracking testing, cases and deaths by day
🇬🇧🔗https://docs.google.com/spreadsheets/d/16sMXwMxCV1nX6RdR0-aUXvVNytiMiv_VcQXY2Qkhxwo/edit?usp=sharing
Number of tests carried out in the UK by date (table made with Wayback Machine) - now out of date
🇬🇧🔗https://www.gov.uk/government/publications/emergency-department-weekly-bulletins-for-2020
UK Govt Number of People going to Emergency Departments.
🇬🇧🔗https://docs.google.com/spreadsheets/d/1rWdx7ITPyAA5497T18TI1BL5Gxz-Oi7aVAVrE8f50sU/edit?usp=sharing
Search term variation data on Coronavirus - that is, what people google when they google “coronavirus”
Geographical scope: UK only
🇬🇧🔗https://drive.google.com/drive/folders/1Kkw6WqwFiJ0vmcoMvk-ICCOFtJoh6dZ6?usp=sharing
UK Healthcare data -- note: appears to be lists of NHS organisations and performance indicators provenance unknown
🇬🇧🔗https://urbanobservatory.ac.uk/
The largest set of publicly available real time urban data in the UK.
🔗https://docs.google.com/spreadsheets/u/2/d/1aGSFDB7Rv0Lc69PqNxPorv2QCfwD09llFA1uUh2D0ps/htmlview
🇦🇺🔗https://github.com/Mike-Honey/covid-19-vic-au
Data and visualisations on public exposure sites sourced from V ealth Department Media hub.
Active cases, recovered cases, and deaths reported by geography within Queensland.
🇦🇺🔗https://data.nsw.gov.au/data/dataset/nsw-covid-19-cases-by-likely-source-of-infection
Data on cases by likely source of infection for New South Wales (NSW) in JSON and RDF.
🇳🇿🔗https://www.health.govt.nz/our-work/diseases-and-conditions/covid-19-novel-coronavirus
New Zealand Ministry of Health COVID-19 status updates and advice
🇳🇿🔗 https://statisticsnz.shinyapps.io/trade_dashboard/
New Zealand Trade Dashboard
Provisional indications effects of Coronavirus outbreak on New Zealand trade with China
💡Representative samples of populations tested regardless of symptoms (suggested here; drive through testing in South Korea of tens of thousands early on; 4% of 1097 randomly tested hospital staff infected with Coronavirus in Brabant, the Netherlands)
💡Hospitalisation rate by different ages/comorbidities (Vox article summarising infection and fatality rate by age, 23rd March) some of that
💡Case fatality rate by age and comorbidity at the same time
💡Audio recordings of coughs We would like to build an app that can record a cough and identify if it is likely caused by COVID-19 This will also hopefully help us track the spread of the virus.
💡Police arrest data (in regions with enforcement). Numbers and breakdowns by race/gender/class.
💡Testing & case reporting protocols for each country.
💡 Clinical features of positive and negative cases who underwent swabs test.
Requirements to be “high quality”:
💡Coronavirus activity on Kaggle
[Evaluated as of 24th March 2020] https://www.kaggle.com/search?q=coronavirus - Other than the CORD-19 dataset below, data is mostly out of date or country breakdowns of the CSSE/Hopkins data which can be found https://www.kaggle.com/c/covid19-global-forecasting-week-1/data.
💡 COVID-19 Open Research Dataset Challenge (CORD-19)
🔗 https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge
An AI challenge with AI2, CZI, MSR, Georgetown, NIH & The White House
This project looks hugely worth every available effort - 30,000 studies as data, urgently needs analysis.
💡Knowledge Graph
🗣[email protected]Searchity.ai
Working with key multilaterals on a knowledge graph with curated subsets for reliable information and optimised resource allocation. This is extending the UN AI data commons initiative to a knowledge commons.
💡Connect any data set & monitor in real-time with OpenFn
🔗https://showcase.dropbox.com/s/Open-Function-Responding-to-Coronavirus-mChE6WIsDvM3jDCqiHzB3
The OpenFn integration platform offers enterprise-grade, scalable, and secure infrastructure for organizations to connect ANY app, automate data sharing, & setup real-time disease surveillance. OpenFn is offering free setup help & zero-margin licenses for projects related to the urgent COVID-19 response.