MetaCOVID: META-Coronavrius dataset repository
This repository contains resources related to COVID-19. This data repository is maintained by DMML lab at Arizona State University.
Dati COVID-19 Italia: Cases in Italia.
CSSE COVID-19 Dataset: Daily case reports
Novel Corona Virus 2019 Dataset: This dataset has daily level information on the number of affected cases, deaths and recovery from 2019 novel coronavirus. Please note that this is a time series data and so the number of cases on any given day is the cumulative number.
nCoV2019: Individual-level data from national, provincial, and municipal health reports, as well as additional information from online reports. All data are geo-coded and, where available, include symptoms, key dates (date of onset, admission, and confirmation), and travel history.
COVID-19_US_County-level_Summaries: We gather a machine readable dataset related to socioeconomic factors that may affect the spread and/or consequences of epidemiological outbreaks, particularly the novel coronavirus (COVID-19).
C3.ai COVID-19 Data Lake: A unified, open data image of critical COVID-19 data publicly available at no cost to the global research community beginning on April 13, 2020.
[US COVID-19 Daily Cases with Basemap]:(https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/HIDLTK): It contains COVID-19 Daily Cases with US basemap, including state and county-level data. However, for the county-level recovered data, it is available till March 17, 2020.
China Health Facilities :Health facilities POI, such as the hospital in China.
COVID-19 Metadata: A collection of relevant country/city level metadata about the COVID-19 pandemic, made interoperable for secondary analysis.
NY COVID-19: The most recent information collected about people who have tested positive for COVID-19 in NYC.
Please feel free to send me pull requests or email ([email protected]) / ([email protected]) / ([email protected]) to add resources.