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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...

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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

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