Selected article for: "average number and COVID model"

Author: Nielsen, B. F.; Sneppen, K.
Title: Superspreaders provide essential clues for mitigation of COVID-19
  • Cord-id: qf0b5j8k
  • Document date: 2020_9_18
  • ID: qf0b5j8k
    Snippet: Although coronavirus disease 2019 (COVID-19) has caused severe suffering in many countries around the world, the efficacy of non-pharmaceutical interventions such as policies of social distancing has been greater than models have predicted. Meanwhile, evidence is mounting that the pandemic is characterized by superspreading, where a small fraction account for the majority of infections. Capturing this phenomenon theoretically requires modeling at the scale of individuals. Using a mathematical mo
    Document: Although coronavirus disease 2019 (COVID-19) has caused severe suffering in many countries around the world, the efficacy of non-pharmaceutical interventions such as policies of social distancing has been greater than models have predicted. Meanwhile, evidence is mounting that the pandemic is characterized by superspreading, where a small fraction account for the majority of infections. Capturing this phenomenon theoretically requires modeling at the scale of individuals. Using a mathematical model, we show that superspreading represents an Achilles' heel of COVID-19, and drastically improves the efficacy of mitigations which reduce the personal contact number, even when this is done without changing the average social contact time.

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