Quantifying superspreading for COVID-19 using Poisson mixture distributions

Quantifying superspreading for COVID-19 using Poisson mixture distributions

Abstract The number of secondary cases, i.e. the number of new infections generated by an infectious individual, is an important parameter for the control of infectious diseases. When individual variation in disease transmission is present, like for COVID-19, the distribution of the number of second...

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Bibliographic Details
Main Authors: Cécile Kremer, Andrea Torneri, Sien Boesmans, Hanne Meuwissen, Selina Verdonschot, Koen Vanden Driessche, Christian L. Althaus, Christel Faes, Niel Hens
Format: article
Language:EN
Published: Nature Portfolio 2021
Subjects:
Medicine
R
Science
Q
Online Access:https://doaj.org/article/e9263460cb9b4dd58168af534d42b02c
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