Selected article for: "epidemic growth and Mathematical model"

Author: Bosetti, Paolo; Kiem, Cécile Tran; Yazdanpanah, Yazdan; Fontanet, Arnaud; Lina, Bruno; Colizza, Vittoria; Cauchemez, Simon
Title: Impact of mass testing during an epidemic rebound of SARS-CoV-2: a modelling study using the example of France
  • Cord-id: wsk9od8g
  • Document date: 2021_1_7
  • ID: wsk9od8g
    Snippet: We used a mathematical model to evaluate the impact of mass testing in the control of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Under optimistic assumptions, one round of mass testing may reduce daily infections by up to 20–30%. Consequently, very frequent testing would be required to control a quickly growing epidemic if other control measures were to be relaxed. Mass testing is most relevant when epidemic growth remains limited through a combination of interventions.
    Document: We used a mathematical model to evaluate the impact of mass testing in the control of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Under optimistic assumptions, one round of mass testing may reduce daily infections by up to 20–30%. Consequently, very frequent testing would be required to control a quickly growing epidemic if other control measures were to be relaxed. Mass testing is most relevant when epidemic growth remains limited through a combination of interventions.

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