Air pollution and daily mortality in the Mexico City Metropolitan Area

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Jamal Mamkhezri
Alok K. Bohara
Alejandro Islas Camargo

Abstract

We utilize a time-series semi-parametric Poisson regression approach, incorporating natural cubic splines for temperature, to study the short-term associations between PM10 and daily mortality due to cardiovascular, respiratory, and cardiorespiratory events for seven municipalities in Mexico City Metropolitan Area (2001-2013). Our results demonstrate that assessing seasonality, along with temperature variability, is vital in understanding the relationship between air pollution and mortality events. Additionally, our findings support the World Health Organization’s morbidity and mortality threshold for PM10 within the assessed municipalities. We were able to identify associations between different meteorological seasons and air pollutions effects on mortality. Lastly, we demonstrate that geographical differences are modulating the relationship between air pollutants and mortality for models with and without distributed lagged. Our findings highlight the need for policy-driven approaches that take into consideration the dynamics of meteorological influences and geographic variability in terms of mitigating future deleterious health impacts of air pollutants in facilitating mortality risk.

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Author Biographies

Jamal Mamkhezri, New Mexico State University

Assistant Professor, Department of Economics, Applied Statistics, and International Business, New Mexico State University 

Alok K. Bohara, University of New Mexico

Professor, Department of Economics, University of New Mexico 

Alejandro Islas Camargo, Instituto Tecnológico Autónomo de México

Professor, Department of Statistics Academic Division of Actuarial Science, Statistics and Mathematics, Instituto Tecnológico Autónomo de México. 

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