1. Stochastic epidemiological model: Simulations of the SARS-CoV-2 spreading in Mexico.
- Author
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López Vázquez, Pablo Carlos, Sánchez González, Gilberto, Martínez Ortega, Jorge, and Arroyo Duarte, Renato Salomón
- Subjects
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EPIDEMIOLOGICAL models , *STOCHASTIC models , *SARS-CoV-2 , *STOCHASTIC approximation , *POISSON distribution , *SIMULATION methods & models , *POISSON'S equation - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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