Stochastic epidemiological model: Simulations of the SARS-CoV-2 spreading in Mexico

In this paper we model the spreading of the SARS-CoV-2 in Mexico by introducing a new stochastic approximation constructed from first principles, where the number of new infected individuals caused by a single infectious individual per unit time (a day), is a random variable of a time-dependent Pois...

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Detalles Bibliográficos
Autores principales: López Vázquez, Pablo Carlos, Sánchez González, Gilberto, Martínez Ortega, Jorge, Arroyo Duarte, Renato Salomón
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521938/
https://www.ncbi.nlm.nih.gov/pubmed/36173956
http://dx.doi.org/10.1371/journal.pone.0275216
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author López Vázquez, Pablo Carlos
Sánchez González, Gilberto
Martínez Ortega, Jorge
Arroyo Duarte, Renato Salomón
author_facet López Vázquez, Pablo Carlos
Sánchez González, Gilberto
Martínez Ortega, Jorge
Arroyo Duarte, Renato Salomón
author_sort López Vázquez, Pablo Carlos
collection PubMed
description In this paper we model the spreading of the SARS-CoV-2 in Mexico by introducing a new stochastic approximation constructed from first principles, where the number of new infected individuals caused by a single infectious individual per unit time (a day), is a random variable of a time-dependent Poisson distribution. The model, structured on the basis of a Latent-Infectious-(Recovered or Deceased) (LI(RD)) compartmental approximation together with a modulation of the mean number of new infections (the Poisson parameters), provides a good tool to study theoretical and real scenarios.
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spelling pubmed-95219382022-09-30 Stochastic epidemiological model: Simulations of the SARS-CoV-2 spreading in Mexico López Vázquez, Pablo Carlos Sánchez González, Gilberto Martínez Ortega, Jorge Arroyo Duarte, Renato Salomón PLoS One Research Article In this paper we model the spreading of the SARS-CoV-2 in Mexico by introducing a new stochastic approximation constructed from first principles, where the number of new infected individuals caused by a single infectious individual per unit time (a day), is a random variable of a time-dependent Poisson distribution. The model, structured on the basis of a Latent-Infectious-(Recovered or Deceased) (LI(RD)) compartmental approximation together with a modulation of the mean number of new infections (the Poisson parameters), provides a good tool to study theoretical and real scenarios. Public Library of Science 2022-09-29 /pmc/articles/PMC9521938/ /pubmed/36173956 http://dx.doi.org/10.1371/journal.pone.0275216 Text en © 2022 López Vázquez et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
López Vázquez, Pablo Carlos
Sánchez González, Gilberto
Martínez Ortega, Jorge
Arroyo Duarte, Renato Salomón
Stochastic epidemiological model: Simulations of the SARS-CoV-2 spreading in Mexico
title Stochastic epidemiological model: Simulations of the SARS-CoV-2 spreading in Mexico
title_full Stochastic epidemiological model: Simulations of the SARS-CoV-2 spreading in Mexico
title_fullStr Stochastic epidemiological model: Simulations of the SARS-CoV-2 spreading in Mexico
title_full_unstemmed Stochastic epidemiological model: Simulations of the SARS-CoV-2 spreading in Mexico
title_short Stochastic epidemiological model: Simulations of the SARS-CoV-2 spreading in Mexico
title_sort stochastic epidemiological model: simulations of the sars-cov-2 spreading in mexico
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521938/
https://www.ncbi.nlm.nih.gov/pubmed/36173956
http://dx.doi.org/10.1371/journal.pone.0275216
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