Probabilistic risk assessment and scenario analysis of ambient PM2.5 in Bangkok for short-term respiratory and cardiovascular diseases.
This study presents a four-year analysis of cardiopulmonary hospital admissions related to PM2.5 exposure in Bangkok to assess the short-term effects of air pollution on health. The Monte Carlo simulation-based AirQ+ model was employed to estimate hospital admissions attributable to various PM2.5 co...
| Published in: | International Journal of Environmental Health Research Vol. 35; no. 12; pp. 4036 - 4051 |
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| Main Authors: | , |
| Format: | equations & formulas pictorial tables/charts Journal Article |
| Published: |
Taylor & Francis Ltd
Dec2025
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=189731014&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 189731014 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09603123 57L jtl: International Journal of Environmental Health Research issn: 09603123 maglogo: Y pubinfo: dt: Dec2025 vid: 35 iid: 12 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 189731014 185275154 189731014 189731014 10.1080/09603123.2025.2508891 189731014 ppf: 4036 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Probabilistic risk assessment and scenario analysis of ambient PM2.5 in Bangkok for short-term respiratory and cardiovascular diseases. aug: au: Tesfaldet, Yacob T. Chanpiwat, Penradee affil: International Program in Hazardous Substance and Environmental Management, Graduate School, Chulalongkorn University, Bangkok, Thailand sug: subj: Particulate Matter Adverse Effects Air Pollutants Adverse Effects Respiratory Tract Diseases Risk Factors Cardiovascular Risk Factors Hospitalization Risk Assessment Human Thailand Nonexperimental Studies Time Series Models, Statistical Air Pollution, Indoor Seasons Weather Humidity Nitrogen Oxides Population Surveillance Ozone World Health Organization Public Health Confidence Intervals Statistical Significance Data Analysis Software Descriptive Statistics Funding Source ab: This study presents a four-year analysis of cardiopulmonary hospital admissions related to PM2.5 exposure in Bangkok to assess the short-term effects of air pollution on health. The Monte Carlo simulation-based AirQ+ model was employed to estimate hospital admissions attributable to various PM2.5 concentrations. The average PM2.5 concentration was 40 ± 17 µg/m3. The monthly median contribution of PM2.5 to total particulate matter pollution ranged from 0.40 to 0.60. Individuals were exposed to PM2.5 levels classified as "unhealthy for sensitive groups" (36–56 µg/m3) or "unhealthy for all" (57–150 µg/m3) on approximately 50% days annually). Cardiopulmonary admissions peaked during the winter, with 5,755 to 7,000 respiratory cases and approximately 7,000 cardiovascular cases, while both conditions were least prevalent in the summer (respiratory: 4,000; cardiovascular: 5,300). The PM2.5 concentrations mirrored this seasonal pattern, reaching approximately 50 µg/m3 in winter and decreasing to approximately 25 µg/m3 in summer. The AirQ+ simulation estimated that PM2.5 exposure exceeding 15 µg/m3 was associated with 3,306 (95% CI: 0 –15,841) additional respiratory cases and 1,497 (95% CI: 701–6,723) additional cardiovascular cases. Conversely, a 5 µg/m3 reduction in PM2.5 levels could lead to a 22% decrease in hospital admissions for cardiopulmonary diseases, whereas a 5 µg/m3 increase could result in a 16% increase in hospitalizations. pubtype: Academic Journal doctype: equations & formulas pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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