Time-dependent probability distribution for number of infection in a stochastic SIS model: case study COVID-19

We derive the time-dependent probability distribution for the number of infected individuals at a given time in a stochastic Susceptible-Infected-Susceptible (SIS) epidemic model. The mean, variance, skewness, and kurtosis of the distribution are obtained as a function of time. We study the effect o...

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Detalles Bibliográficos
Autor principal: Otunuga, Olusegun Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pergamon Press 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8112579/
https://www.ncbi.nlm.nih.gov/pubmed/33994678
http://dx.doi.org/10.1016/j.chaos.2021.110983

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8112579/
https://www.ncbi.nlm.nih.gov/pubmed/33994678
http://dx.doi.org/10.1016/j.chaos.2021.110983

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