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Datasets
US only, state by state https://covidtracking.com/data/ data available as spreadsheet or via API (JSON and CSV).
US only, state by state https://github.com/nytimes/covid-19-data
https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
All countries, available as CSV, JSON and XML
https://nextstrain.org/ncov Tracks the spread of coronavirus, inferred from tracking how the genome evolves and mutates. The data visualization is excellent, but scroll down for info on where the data comes from and how to access it. Nextstrain isn't limited to coronavirus so it could be helpful for those who were asking about data for other viruses.
https://www.academicdatascience.org/covid The Academic Data Science Alliance is working with partners to pull together data sets and data science resources related to the COVID-19 pandemic. Initiated by conversations with Columbia, NYU, UC Berkeley, and UW.
Dimensions has a lot of datasets related to COVID-19 as well as a repository of publications. Lots of biological stuff but also some data on Africa, data from tweets about coronavirus, and "attitude studies" in Spain about the effects of learning about the virus on attitudes towards it.
https://www.worldometers.info/coronavirus/coronavirus-cases/ The worldometer tracking of cases and deaths by country. Can also view growth rate, recoveries, and new case info.
https://citymapper.com/cmi The index is calculated by comparing trips planned using the Citymapper app. Data are available for large cities around the world and can be downloaded.
https://www.cuebiq.com/visitation-insights-covid19/?utm_source=nyt&utm_medium=article&utm_campaign=organic Weekly mobility index calculated from cell phone location data for each county within the US. Example data usage: https://www.nytimes.com/interactive/2020/04/02/us/coronavirus-social-distancing.html
https://www.cdc.gov/nchs/nhanes/about_nhanes.htm National Health & Nutrition Examination Survey. The diseases, medical conditions, and health indicators to be studied include cardiovascular disease, diabetes, infectious disease, obesity, respiratory disease & many other physical risk factors that could be useful parameters for a covid model. Combines interviews and physical examinations.
Oxford Covid-19 Evidence Service
Case Fatality Rate (CFR) estimates, the country-specific issues affecting the CFR, and provides a current best estimate of the CFR, and more importantly, the Infection Fatality Rate (IFR).
The IFR estimates the fatality rate in all those with infection: the detected disease (cases) and those with an undetected disease (asymptomatic and not tested group).
https://www.cebm.net/covid-19/global-covid-19-case-fatality-rates/ Estimates of the severity of coronavirus disease 2019: a model-based analysis, Lancet
https://www.thelancet.com/journals/laninf/article/PIIS1473-3099(20)30243-7/fulltext