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  1. May 2020
  2. www.nature.com www.nature.com
    Modelling COVID-19
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    1. edampf 13 May 2020

      Vespignani, A., Tian, H., Dye, C. et al. Modelling COVID-19. Nat Rev Phys (2020). https://doi.org/10.1038/s42254-020-0178-4

      is:article COVID-19 lang:en modeling mathematics epidemiology transmission dynamics complex network infection challenge forecast prediction computational modeling pharmaceutical intervention public health policy emergency war time containment measures China superspreading contact tracing isolation quarentine open data antibody testing
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    nature.com/articles/s42254-020-0178-4