Help from an unexpected quarter: geosciences data techniques can help predict corona spread

Press/Media: Public Engagement

Period11 Jun 2020

Media contributions

1

Media contributions

  • TitleHelp from an unexpected quarter: geosciences data techniques can help predict corona spread
    Degree of recognitionNational
    Media name/outletTU Delft news
    Media typeWeb
    Duration/Length/Size1 pag.
    Country/TerritoryNetherlands
    Date11/06/20
    DescriptionAn international team of scientists is studying the possibility of using data assimilation, a data technique from geosciences, to predict the spread of coronavirus and the efficacy of certain measures. TU Delft geoscientists on the team think that data assimilation might prove a useful tool for the RIVM epidemiologists. A paper on the subject has been submitted to scientific journal Foundations of Data Science.
    Producer/AuthorWebredactie
    URLhttps://www.tudelft.nl/en/2020/citg/help-from-an-unexpected-quarter-geosciences-data-techniques-can-help-predict-corona-spread
    PersonsF.C. Vossepoel
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