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arXiv · 2201.02703

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

Pablo Carlos López Vázquez·Gilberto Sánchez González·Jorge Martínez Ortega·Renato Salomón Arroyo Duarte
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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, structured on the basis of a Latent-Infectious- (Recovered or Deceased) (LI(RD)) compartmental approximation, where the number of new infected individuals caused by a single infectious individual per unit time (a day), is a random variable of a Poisson distribution and whose parameter is modulated through a weight-like time-dependent function. The weight function serves to introduce a time dependence to the average number of new infections and as we will show, this information can be extracted from empirical data, giving to the model self-consistency and provides a tool to study information about periodic patterns encoded in the epidemiological dynamics

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Pablo Carlos López Vázquez, Gilberto Sánchez González, Jorge Martínez Ortega, Renato Salomón Arroyo Duarte. 2022-01-07. Stochastic epidemiological model: Modeling the SARS-CoV-2 spreading in Mexico. https://doi.org/10.1371/journal.pone.0275216

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