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

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.

SUBMITTER: Lopez Vazquez PC 

PROVIDER: S-EPMC9521938 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature