Exploring the risk and predictive study of outdoor air pollutants on the incidence and mortality of HIV/AIDS

Various time series and neural network models effectively predict the incidence and mortality rates of HIV/AIDS. Additionally, multiple mixed exposure analyses provide further evidence of significant associations between exposure to air pollution mixtures and HIV/AIDS incidence and mortality rates, with PM<sub>2.5</sub> and PM<sub>10</sub> being the primary drivers.

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Publication Details

Journal
Ecotoxicology and Environmental Safety
Published
2024-11-01
DOI
https://doi.org/10.1016/j.ecoenv.2024.117292
Citations
5
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
3.42
Controls
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article

Exploring the risk and predictive study of outdoor air pollutants on the incidence and mortality of HIV/AIDS

Zhenyao Song, Weiming Hou
5 citations
Ecotoxicology and Environmental Safety
Urban Transport and Accessibility
3.42
article

Exploring the risk and predictive study of outdoor air pollutants on the incidence and mortality of HIV/AIDS

Zhenyao Song, Weiming Hou
article en
5 citations

Abstract

Various time series and neural network models effectively predict the incidence and mortality rates of HIV/AIDS. Additionally, multiple mixed exposure analyses provide further evidence of significant associations between exposure to air pollution mixtures and HIV/AIDS incidence and mortality rates, with PM<sub>2.5</sub> and PM<sub>10</sub> being the primary drivers.

Ecotoxicology and Environmental SafetyVol. 287
United States Air Force (US), Air Force General Hospital PLA (CN)
Good health and well-being
Openalex Percentile: Top 8%
Urban Transport and Accessibility
3.42
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