Modelando la Supervivencia a la COVID-19 en México

Marco Antonio Pérez Méndez; Roberto Gutiérrez Rodríguez

doi:10.24275/uam/izt/dcsh/denarius/v2021n40/Perez

Marco Antonio Pérez Méndez Universidad Autónoma Metropolitana - Unidad Iztapalapa
Roberto Gutiérrez Rodríguez Universidad Autónoma Metropolitana - Unidad Iztapalapa

DOI: https://doi.org/10.24275/uam/izt/dcsh/denarius/v2021n40/Perez

Keywords: COVID-19, mortality, non-parametric model, survival analysis, exploratory data analysis

Abstract

This investigation analyses the excess of mortality of people infected by the virus SARS-CoV-2 in México, which causes the disease known as COVID-19, and the underlying increase in the fatality rate by means of a non-parametric survival model. An exploratory data analysis is carried out using the official information referred to the individual characteristics of those who have presented the symptoms and have passed away. Besides, the survival probability is obtained by means of Kaplan-Meier estimates. The process is controlled for comorbidities to identify the lack of early care and the excess of the most common comorbidities in Mexico as factors responsible for the excess of mortality and the high fatality rate.

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Author Biographies

Marco Antonio Pérez Méndez, Universidad Autónoma Metropolitana - Unidad Iztapalapa

Profesor-Investigador de tiempo completo del Departamento de Economía de la UAM-Iztapalapa

Roberto Gutiérrez Rodríguez, Universidad Autónoma Metropolitana - Unidad Iztapalapa

Profesor-Investigador y Jefe del Departamento de Economía de la UAM-Iztapalapa; ganador
del Premio Revista Comercio Exterior 2016 categoría Especialista; miembro del SNI.

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