Assessing the burden of diseases attributed to exposure to ambient particulate matter by air quality modeling.
1/5 보강
This study aimed to assess PM exposure levels in Ahvaz, Iran, and quantify the associated burden of disease attributable to particulate pollution.
APA
Baharvand P, Veysi Sheikhrobat M, et al. (2025). Assessing the burden of diseases attributed to exposure to ambient particulate matter by air quality modeling.. International journal of environmental health research, 35(12), 3772-3782. https://doi.org/10.1080/09603123.2025.2496712
MLA
Baharvand P, et al.. "Assessing the burden of diseases attributed to exposure to ambient particulate matter by air quality modeling.." International journal of environmental health research, vol. 35, no. 12, 2025, pp. 3772-3782.
PMID
40298364 ↗
Abstract 한글 요약
This study aimed to assess PM 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 PM concentrations during pandemic. During the study period, the annual mean of PM 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 PM concentrations. Years lived with disability dropped from 242.7 to 170.4 years per 10 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.
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🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반
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