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#26: Dr. Leo Nissola on how predictive modeling of COVID-19 can inform public policy

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Indhold leveret af Inform Me, Informatics and Public Health Informatics Institute. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Inform Me, Informatics and Public Health Informatics Institute eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
Immunologist, physician and author Dr. Leo Nissola joins the show to talk about Covid Act Now, a COVID-19 predictive statistical model. He also shares insights around what may be ahead for this pandemic, and what public action he believes may be needed. You can see the model for yourself at covidactnow.org. If you enjoy the show, please consider rating us on iTunes! If you have suggestions for future episodes, contact Inform Me, Informatics at podcast@phii.org. Music credit: "Summer Day," Kevin MacLeod/Incompetech.
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32 episoder

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Manage episode 257211767 series 124610
Indhold leveret af Inform Me, Informatics and Public Health Informatics Institute. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Inform Me, Informatics and Public Health Informatics Institute eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
Immunologist, physician and author Dr. Leo Nissola joins the show to talk about Covid Act Now, a COVID-19 predictive statistical model. He also shares insights around what may be ahead for this pandemic, and what public action he believes may be needed. You can see the model for yourself at covidactnow.org. If you enjoy the show, please consider rating us on iTunes! If you have suggestions for future episodes, contact Inform Me, Informatics at podcast@phii.org. Music credit: "Summer Day," Kevin MacLeod/Incompetech.
  continue reading

32 episoder

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