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Please use this identifier to cite or link to this item: http://repositorio.insp.mx:8080/jspui/handle/20.500.12096/8631
Title: Stochastic epidemiological model: Simulations of the SARS-CoV-2 spreading in Mexico
Keywords: nan
Issue Date: 2022
Publisher: PMC
Abstract: Abstract 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.
URI: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0275216&type=printable
https://doi.org/10.1371/journal.pone.0275216
http://repositorio.insp.mx:8080/jspui/handle/20.500.12096/8631
ISSN: 1932-6203
Appears in Collections:Artículos

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