Comparisons of statistical distributions for cluster sizes in a developing pandemic.

ABSTRACT:

Background

We consider cluster size data of SARS-CoV-2 transmissions for a number of different settings from recently published data. The statistical characteristics of superspreading events are commonly described by fitting a negative binomial distribution to secondary infection and cluster size data as an alternative to the Poisson distribution as it is a longer tailed distribution, with emphasis given to the value of the extra parameter which allows the variance to be greater than the mean. Here we investigate whether other long tailed distributions from more general extended Poisson process modelling can better describe the distribution of cluster sizes for SARS-CoV-2 transmissions.

Methods

We use the extended Poisson process modelling (EPPM) approach with nested sets of

SUBMITTER: Faddy MJ 

PROVIDER: S-EPMC8801190 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature