Modelo matemático para relacionar el número de contagios del COVID-19 y los contaminantes ambientales en la ciudad de Quito Ecuador, periodo enero 2020 – marzo 2021.

Abstract

The current research work focuses on a study of the relationship of Covid - 19 infections with the incidence of environmental pollutants PM 2.5, PM10, SO2, O3, CO, CO2. This analysis is essential to make correct decisions. This analysis will allow a need for control to be projected in a shorter time, considering environmental pollutants. The problem we are addressing is such that hardly we have recent or previous data, we must carry out a model capable of offering a solution to the proposed problem, in such a way that our performance in the future could be the most effective. Once we talk about learning processes in which one observes continuity in time and in this situation, it is advisable to create a mathematical model. Knowing that it is one of the instruments currently used for the analysis of problems in health, and other areas; its purpose is to explain, describe and check processes. It is essential to mention that the mathematical models for infectious pathologies are applied as an instrument to appreciate in its fair measure the effects that it will have, it is difficult to understand a complex problem without a minimal modeling, although it must also be recognized that it is not feasible to model the integrity of real situations, essentially, the core functionality of producing and examining mathematical models is to optimize the understanding of a procedure to prevent future situations of pathologies, implement the prevalence and incidence also to collaborate in making objective choices for disease control.