Cargando…
A multi-type branching process model for epidemics with application to COVID-19
In this paper we model an infectious disease epidemic using Multi-type Branching Process where the number of offsprings of different types follow non-identical Poisson distributions whose parameters may vary over time. We allow for variation in parameters due to the behavior of citizens, government...
Autores principales: | Laha, Arnab Kumar, Majumdar, Sourav |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9446622/ https://www.ncbi.nlm.nih.gov/pubmed/36092539 http://dx.doi.org/10.1007/s00477-022-02298-9 |
Ejemplares similares
-
Applications of Multi-Type Branching Processes
por: Allen, Linda J. S.
Publicado: (2015) -
Global dynamics of a multi-strain SEIR epidemic model with general incidence rates: application to COVID-19 pandemic
por: Khyar, Omar, et al.
Publicado: (2020) -
Vaccination control of an epidemic model with time delay and its application to COVID-19
por: Zhai, Shidong, et al.
Publicado: (2021) -
Modelling and optimal control of multi strain epidemics, with application to COVID-19
por: Arruda, Edilson F., et al.
Publicado: (2021) -
COVID-19 multi-state epidemic forecast in India
por: Gaidai, Oleg, et al.
Publicado: (2023)