Estimation of PM2.5 using high-resolution satellite data and its mortality risk in an area of Iran

Guoxing Li; Omid Aboubakri; Samira Soleimani; Afshin Maleki; Reza Rezaee; Mahdi Safari; Gholamreza Goudarzi; Fariba Fatehi

doi:10.1080/09603123.2024.2325629

Estimation of PM_2.5 using high-resolution satellite data and its mortality risk in an area of Iran

Int J Environ Health Res. 2024 Mar 9:1-13. doi: 10.1080/09603123.2024.2325629. Online ahead of print.

Authors

Guoxing Li¹, Omid Aboubakri², Samira Soleimani³, Afshin Maleki², Reza Rezaee², Mahdi Safari², Gholamreza Goudarzi^{4

5

6}, Fariba Fatehi⁷

Affiliations

¹ Department of Occupational and Environmental Health Sciences, Peking University, School of Public Health, Beijing, China.
² Environmental Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran.
³ Student Research Committee, Department of Environmental Health Engineering, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
⁴ Center for Climate Change and Health Research (CCCHR), Dezful University of Medical Sciences, Dezful, Iran.
⁵ Department of Environmental Engineering, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
⁶ Air Pollution and Respiratory Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
⁷ Vice Chancellor for Research and Technology, Kurdistan University of Medical Sciences, Sanandaj, Iran.

PMID: 38461371
DOI: 10.1080/09603123.2024.2325629

Abstract

Satellite-based exposure of fine particulate matters has been seldom used as a predictor of mortality. PM_2.5 was predicted using Aerosol Optical Depths (AOD) through a two-stage regression model. The predicted PM_2.5 was corrected for the bias using two approaches. We estimated the impact by two different scenarios of PM_2.5 in the model. We statistically found different distributions of the predicted PM_2.5 over the region. Compared to the reference value (5 µg/m³), 90th and 95th percentiles had significant adverse effect on total mortality (RR _{90th percentile}:1.45; CI 95%: 1.08-1.95 and RR _{95th percentile}:1.53; CI 95%: 1.11-2.1). Nearly 1050 deaths were attributed to any range of the air pollution (unhealthy range), of which more than half were attributed to high concentration range. Given the adverse effect of extreme values compared to the both scenarios, more efforts are suggested to define local-specific reference values and preventive strategies.

Keywords: Aerosol optical depths; PM2.5; mortality; risk.