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Spatiotemporal association between monthly PM2.5 levels and cardiorespiratory mortality in Thailand (2015–2019)

  • Suhaimee Buya
  • , Hideomi Gokon
  • , Van Nam Huynh
  • , Hieu Chi Dam
  • , Sasiporn Usanavasin
  • , Jessada Karnjana
  • , Nutta Taneepanichskul
  • Japan Advanced Institute of Science and Technology
  • Sirindhorn International Institute of Technology, Thammasat University
  • National Electronics and Computer Technology Center
  • Chulalongkorn University
  • King Chulalongkorn Memorial Hospital

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

This study examines the spatiotemporal relationship between PM2.5 exposure and cardiorespiratory mortality across Thailand from 2015 to 2019, addressing a critical research gap in geographical coverage. Analysis of satellite-based PM2.5 data revealed significant correlations between monthly PM2.5 levels and cardiorespiratory mortality, with stronger effects observed in the central and northern provinces. The association was most pronounced during the dry season (November to April), showing a 6% increase in mortality compared to other months. Areas with monthly PM2.5 levels of 30.1–37.5 μg/m³ and above 37.5 μg/m³ were associated with mortality increases of 3% (95% CI: 1%–5%) and 5% (95% CI: 3%–7%), respectively, relative to the overall mean, while levels below 20 μg/m³ corresponded to a 4% (95% CI: 3%–6%) reduction. These findings underscore the need for region-specific monthly PM2.5 guidelines to mitigate health risks, particularly during high-pollution periods and in vulnerable regions.

Original languageEnglish
Pages (from-to)41-52
Number of pages12
JournalInternational Journal of Environmental Health Research
Volume36
Issue number1
DOIs
Publication statusPublished - 2026
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • PM2.5
  • Thailand
  • air pollution
  • cardiorespiratory mortality
  • spatiotemporal analysis

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