Discrete models for analyzing the behavior of COVID-19 pandemic in the State of Mexico, Mexico

Autor: Erik A. Vázquez Jiménez, Jesús Martínez Martínez, Leonardo D. Herrera Zuniga, J. Guadalupe Reyes Victoria
Rok vydání: 2022
Předmět:
Zdroj: Mathematical Biosciences and Engineering. 20:296-317
ISSN: 1551-0018
DOI: 10.3934/mbe.2023014
Popis: In this paper we analyze the behavior of the COVID-19 pandemic during a certain period of the year 2020 in the state of Mexico, Mexico. For this, we will use the discrete models obtained by the first, third and fourth authors of this work. The first is a one-dimensional model, and the second is two-dimensional, both non-linear. It is assumed that the population of the state of Mexico is constant and that the parameters used are the infection capacity, which we will initially assume to be constant, and the recovery and mortality parameters in that state. We will show that even when the statistical data obtained are disperse, and the process could be stabilized, this has been slow due to chaotic mitigation, creating situations of economic, social, health and political deterioration in that region of the country. We note that the observed results of the behavior of the epidemic during that period for the first variants of the virus have continued to be observed for the later variants, which has not allowed the eradication of the pandemic.
Databáze: OpenAIRE