Quantifying superspreading for covid-19 using poisson mixture distributions

HIGHLIGHTS

  • who: Cécile Kremer from the Interuniversity Institute Hasselt University have published the research work: Quantifying superspreading for COVID-19 using Poisson mixture distributions, in the Journal: Scientific Reports Scientific Reports of December/31,/2020
  • what: The authors focus on the three-parameter generalized Gamma distribution for ν, because of its flexibility and the fact that it has as special cases the Gamma, Weibull, and lognormal ­distribution22. To assess the possible bias in estimates of the reproduction number R and its overdispersion, which are based on assuming a certain offspring distribution for the underlying transmission process . . .

     

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