Assessing the burden of diseases attributed to exposure to ambient particulate matter by air quality modeling

Baharvand, Parastoo and Veysi Sheikhrobat, Mohammad and Sicard, Pierre and Rashidi, Rajab and Rashidi, Rajab (2025) Assessing the burden of diseases attributed to exposure to ambient particulate matter by air quality modeling. Int J Environ Health Res.

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Abstract

This study aimed to assess PM2.5 exposure levels in Ahvaz, Iran, and quantify the associated burden of disease attributable to particulate pollution. To quantify uncertainty mortality and morbidity, the exposure response function model for probabilistic risk assessment was used. The analysis of aerosol variations by the Aerosol Optical Thickness indicated a decline in PM2.5 concentrations during pandemic. During the study period, the annual mean of PM2.5 concentrations exceeded the annual limit value established by the World Health Organization. Cause-specific mortality, including trachea bronchus lung cancer, stroke, and acute lower respiratory infections, also decreased by 14-28% in 2020. Restricted activity days and work days lost decreased by 11.8% and 13.8%, respectively, correlating with lower PM2.5 concentrations. Years lived with disability dropped from 242.7 to 170.4 years per 105 capita in 2020 during the pandemic. Mitigation strategies, including green infrastructure, industrial regulation, and improved urban planning, are needed to reduce health risks in this highly polluted region

Item Type: Article
Subjects: R Medicine > RZ Other systems of medicine
Divisions: Faculty of Medicine, Health and Life Sciences > School of Medicine
Depositing User: lorestan university
Date Deposited: 25 Jun 2025 03:54
Last Modified: 25 Jun 2025 03:54
URI: http://eprints.lums.ac.ir/id/eprint/5115

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