Logistic Model to Predict the Contagion of Covid-19 in Mexico

Juan Bacilio Guerrero Escamilla, Sócrates López Pérez and Sonia Bass Zavala

International Journal of Statistics and Probability, 2020, vol. 9, issue 5, 49

Abstract: The objective of this work is to predict the risk of contracting Covid - 19 in the Mexican population, by means of the construction of a multilogistical model, based on the Ministry of Health applied to patients who presented with the symptoms that encompass the disease. With this probabilistic model, it was possible to estimate the degree of contracting Covid -19, taking as a reference the health conditions of the patients, and with it, medically influence to counteract the disease.

Date: 2020
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