eRum2020::CovidR
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    • COVOID: modelling transmission / interventions
    • COVID-19 Data Hub
    • Daily economic indicators
    • Covid_19 Kenya
    • The ten-day coronavirus forecast
    • COVID-19 Bulletin Board Japan
    • 100 k African Hospital and Health Facilities
    • COVID-19 in Belgium: is it over yet?
    • MINT - Monitoring Italian contagion trends
    • The Prime Minister's Speech(es)
    • PangeaCovid19
    • OzCoViz dashboard and the covidrecon package
    • Europe Tracker
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    • Covid19-Explorer
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    • NowCastingCOVID-19
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    • Covid'19 Twitter Analytics
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    • COVID-19 Monitor
    • COVID-19 Canada Data Explorer
    • Covid Shinyline
    • CoronaDash - clustering-analytical tool
    • Coronavirus Tracker
    • Understanding COVID-19 with Excess Deaths
    • COVID-19 Scientific Papers
    • COVID-19 and R blog series
    • Global COVID-19 Dashboard
    • COVID-19 Time-Dependent SIR Model
    • Interactive map of 2019-nCov global distribution
    • Covid19 Data and Perception (CoDaP)
    • Covid19 Shiny App
    • CovidR Example
  • e-Rum2020

COVID-19 Data Hub

COVID-19 Data Hub

by Emanuele Guidotti, David Ardia [repository]
eRum2020::CovidR

COVID-19 Data Hub

Emanuele Guidotti, David Ardia

Built with R, available in any language, the Hub provides a worldwide, fine-grained, unified dataset helpful for a better understanding of COVID-19. The user can instantly download up-to-date, structured, historical daily data across several official sources. The data are hourly crunched by the R package COVID19 and made available in csv format on a cloud storage, so to be easily accessible from Excel, R, Python… and any other software. We welcome external contributors to join and extend the number of supporting data sources. All sources are properly documented, along with their citation. COVID-19 Data Hub can spot misalignments between data-sources and automatically inform authorities of possible errors. All logs are available at https://covid19datahub.io Available on CRAN.

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