Please use this identifier to cite or link to this item: https://repositorio.uca.edu.ar/handle/123456789/19944
Título: An ecological study on the correlation between sanitary vulnerability and air pollution with COVID-19 pandemic burden: What lessons can we learn?
Autor: Bullo, Manuela 
Lakkis, Susan Gabriela 
Enet, Alejandro 
Bonfiglio, Juan Ignacio 
Di Pasquale, Ricardo Héctor 
Represa, Sol 
Gonzalez, Luciana Marisol 
Gonzalez Aleman, Gabriela 
Lamas, María Cristina 
Salvia, Agustín 
Langsam, Martín 
Olego, Tomás 
Pérez Lloret, Santiago 
Palabras clave: CONTAMINACION DEL AIRECOVID-19VULNERABILIDAD SANITARIA
Fecha de publicación: 2025
Editorial: Elsevier
Resumen: Objectives: Air quality, socioeconomic status, access to healthcare, genetic predispositions, among other factors impacted the COVID-19 pandemic burden. We explored the relationship between PM2.5 levels and sanitary vulnerability in COVID-19 pandemic health outcomes in Argentina. Study design: Ecological study. Methods: We used the Sanitary Vulnerability Index (SVI) to account for social determinants of health and distance to health centers. PM2.5 air concentration and human emissions were obtained from the Atmospheric Composition Analysis Group V5.GL.03 dataset and the inventory of anthropogenic gas-phase and particle emissions for Argentina (GEEA-AEIv3.0M), respectively. Finally, we extracted data from March 1, 2020, to January 1, 2021 from the official Argentinean database of COVID-19 (Argentine Ministry of Health). Results: SVI correlated with the rate of positive COVID-19 tests per 100,000 people (r = −0.56, p < 0.01), Intensive Care Unit (ICU) admissions per 100,000 people (r = −0.52, p < 0.01), and deaths per 100,000 people (r = −0.58, p < 0.01). PM2.5 air concentration correlated with the rate of positive tests (r = −0.09, p = 0.03), ICU admissions (r = −0.16, p < 0.01), and mortality (r = −0.11, p = 0.01). PM2.5 human emissions did not show significant correlations with COVID-19 outcomes. There was a significant interaction between SVI and PM2.5 air concentration for the rate of positive COVID-19 tests and mortality. PM2.5 air quality showed a positive and significant association with the outcomes only in areas with high SVI. A machine-learning model including these variables accounted for 46 % of the variability. Conclusions: The interplay between health vulnerability and air quality in human health is complex. Addressing the burden of COVID-19 pandemic requires the consideration of a comprehensive range of determinants.
URI: https://repositorio.uca.edu.ar/handle/123456789/19944
ISSN: 1476-5616
0033-3506
DOI: 10.1016/j.puhe.2024.12.002
Derechos: Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Fuente: Public Health. 2025, 238
Appears in Collections:Colaboraciones en ediciones externas

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