Jorge Méndez Astudillo

• Méndez-Astudillo Jorge (2024) The impact of comorbidities and economic inequality on COVID-19 mortality in Mexico: a machine learning approach. Frontiers in Big Data, 7 , https://doi.org/10.3389/fdata.2024.1298029

• Mendez-Astudillo, Jorge (2023) Assessment of the impact of COVID-19 lockdown on PM10 and PM2.5 concentration in Mexico City Metropolitan Area. Revista internacional de contaminación ambiental, 39, 295–306. https://doi.org 10.20937/RICA.54659

• Sanchez-Vargas, A., Mendez-Astudillo, J., López-Vidal, Y., López-Carr, D., & Estrada, F. (2023). Assessing the effect of the U.S. vaccination program on the Coronavirus positivity rate with a multivariate framework. GeoHealth, 7, e2022GH000771. https://doi.org/10.1029/2022GH000771

• Mendez-Astudillo, J. y Caetano E. (2023) The effect of abrupt changes to sources of PM10 and PM2.5 concentrations in three major agglomerations in Mexico. Atmosphere. Vol. 14, No 3:596. https://doi.org/10.3390/atmos14030596.

• Mendez-Astudillo, J.; Caetano, E. and Pereyra-Castro, K. (2022) Synergy between the Urban Heat Island and the Urban Pollution Island in Mexico City during the dry season. Aerosol and Air Quality Research. Vol. 2: 210278. https://doi.org/10.4209/aaqr.210278

Machine Learning
Deep Learning
Pruebas estadísticas
Analisis de datos
Analisis de correlaciones
Regresiones multivariables
Clasificiadores de imágenes

Justicia climática
Adaptación climática
Data-driven
Observación terrestre

Proyecto PAPIIT, posibilidad de ser becario ene-dic 2025
Redes de colobaración de investigación en : Bath, Reino Unido, Kuala Lumpur, Malasia, Hangzhou China y Bogotá, Colombia.