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

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

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    • edampf

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    nature.com/articles/s42254-020-0178-4
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