Urban mobility and comorbidities on the incidence and death from COVID-19 in the MAVM

Main Article Content

María Victoria Chávez Hernández
Giovanni Wences

Abstract

Purpose: To identify and quantify, on one hand, the effect of public transportation modes on the incidence rate of COVID-19 infections and, on the other hand, the comorbidities more related to the rate of COVID-19 deaths in the Metropolitan Area of the Valley of Mexico during the first wave of the coronavirus pandemic.


Methodological design: Two multi-linear regression models were fitted, considering the COVID-19 incidence rate and COVID-19 death rate as dependent variables. Transport, demographic, and healthcare variables were also considered as explanatory. The number of arrivals to a municipality using any mode of transportation was considered to identify the effect of public transportation modes on the incidence rate of COVID-19 infections, and the prevalence of healthcare was considered to determine which comorbidities (included in the model) are more related to the rate of COVID-19 deaths.


Results: The greater the number of trips made using small public transport vehicles, the more significantly the incidence rates increase. The number of trips done by walking negatively affects the incidence rate of COVID-19. The prevalence of diabetes and pneumonia is highly associated with increased COVID-19 deaths.


Research imitations: This study was carried out considering a hypothetical scenario where the containment measures did not affect the number of trips made in the study area due to the difficulty of obtaining updated data.


Findings: Men are more likely to be infected than women. Not only are the comorbidities related to mortality due to COVID-19, but they are also risk factors for contracting the disease.

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How to Cite
Chávez Hernández, M. V., & Wences, G. (2023). Urban mobility and comorbidities on the incidence and death from COVID-19 in the MAVM. Entreciencias: Diálogos En La Sociedad Del Conocimiento, 11(25), 1–17. https://doi.org/10.22201/enesl.20078064e.2023.25.84938

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Author Biographies

María Victoria Chávez Hernández, Universidad Autónoma de Nuevo León

She  is a postdoctoral research professor at the Faculty of Physical and Mathematical Sciences of the Autonomous University of Nuevo León, Mexico. She holds a Ph.D. in Mathematics, achieving the University Merit Medal from the Autonomous Metropolitan University in 2019 in convex optimization and variational methods to estimate origin-destination matrices under the supervision of Professor Hector Juarez. Her research interests focus on the development of methods and algorithms to estimate the origin-destination demand of large-scale, congested public transport networks and the effect of mobility in public transport systems on the spread of respiratory diseases. She is a candidate of the National System of Researchers and a member of the Mexican Society of Operations Research.

Giovanni Wences, Universidad Autónoma Metropolitana- Iztapalapa

is currently a full-time research professor at the Higher School of Mathematics of
the Autonomous University of Guerrero, Mexico. He holds a Ph.D. in Mathematics, achieving the
University Merit Medal from the Autonomous Metropolitan University in 2020 in optimal
transportation and econometrics under the supervision of Professor Joaquín Delgado. His research
interests include optimal transportation theory, machine learning, linear regression models, and
econometrics. In addition, he is a member of the National System of Researchers as a candidate. He
is currently doing a postdoctoral stay under the academic modality at the Autonomous Metropolitan
University - Iztapalapa.

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