Stochastic SIR model predicts the evolution of COVID-19 epidemics from public health and wastewater data in small and medium-sized municipalities: A one year study

The level of unpredictability of the COVID-19 pandemics poses a challenge to effectively model its dynamic evolution. In this study we incorporate the inherent stochasticity of the SARS-CoV-2 virus spread by reinterpreting the classical compartmental models of infectious diseases (SIR type) as chemi...

Descripción completa

Detalles Bibliográficos
Autores principales: Pájaro, Manuel, Fajar, Noelia M., Alonso, Antonio A., Otero-Muras, Irene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9448700/
https://www.ncbi.nlm.nih.gov/pubmed/36091637
http://dx.doi.org/10.1016/j.chaos.2022.112671

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9448700/
https://www.ncbi.nlm.nih.gov/pubmed/36091637
http://dx.doi.org/10.1016/j.chaos.2022.112671

Ejemplares similares