Underdetection in a stochastic SIR model for the analysis of the COVID-19 Italian epidemic

We propose a way to model the underdetection of infected and removed individuals in a compartmental model for estimating the COVID-19 epidemic. The proposed approach is demonstrated on a stochastic SIR model, specified as a system of stochastic differential equations, to analyse data from the Italia...

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Detalles Bibliográficos
Autores principales: Bodini, Antonella, Pasquali, Sara, Pievatolo, Antonio, Ruggeri, Fabrizio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8397881/
https://www.ncbi.nlm.nih.gov/pubmed/34483725
http://dx.doi.org/10.1007/s00477-021-02081-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8397881/
https://www.ncbi.nlm.nih.gov/pubmed/34483725
http://dx.doi.org/10.1007/s00477-021-02081-2

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