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

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 le...

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Publicado en:International Journal of Environmental Health Research Vol. 36; no. 1; pp. 41 - 53
Autores principales: Buya, Suhaimee, Gokon, Hideomi, Huynh, Van-Nam, Dam, Hieu-Chi, Usanavasin, Sasiporn, Karnjana, Jessada, Taneepanichskul, Nutta
Formato: equations & formulas pictorial research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Jan2026
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Taylor & Francis Ltd
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        10.1080/09603123.2025.2458726
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        atl: Spatiotemporal association between monthly PM2.5 levels and cardiorespiratory mortality in Thailand (2015–2019).
      aug:
        au:
          Buya, Suhaimee
          Gokon, Hideomi
          Huynh, Van-Nam
          Dam, Hieu-Chi
          Usanavasin, Sasiporn
          Karnjana, Jessada
          Taneepanichskul, Nutta
        affil: School of Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi, Japan
      sug:
        subj:
          Air Pollution Thailand
          Cardiovascular Diseases Mortality
          Respiratory Tract Diseases Mortality
          Time Factors
          Geographic Factors
          Human
          Mortality
          Descriptive Statistics
          Confidence Intervals
          Thailand
          Spearman's Rank Correlation Coefficient
          Linear Regression
          Data Analysis Software
          Funding Source
      ab: 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.
      pubtype: Academic Journal
      doctype:
        equations & formulas
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        research
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      ougenre: Article
    language: English
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