A health impact assessment of long-term exposure to particulate air pollution in Thailand
| dc.contributor.author | Mueller, William | |
| dc.contributor.author | Vardoulakis, Sotiris | |
| dc.contributor.author | Steinle, Susanne | |
| dc.contributor.author | Loh, Miranda | |
| dc.contributor.author | Johnston, Helinor J | |
| dc.contributor.author | Precha, Nopadol | |
| dc.contributor.author | Kliengchuay, W. | |
| dc.contributor.author | Sahanavin, Narut | |
| dc.contributor.author | Nakhapakorn, Kanchana | |
| dc.contributor.author | Sillaparassamee, Ratthapol | |
| dc.contributor.author | Tantrakarnapa, Kraichat | |
| dc.contributor.author | Cherrie, John W | |
| dc.date.accessioned | 2024-01-22T22:53:59Z | |
| dc.date.available | 2024-01-22T22:53:59Z | |
| dc.date.issued | 2021 | |
| dc.date.updated | 2022-10-02T07:17:59Z | |
| dc.description.abstract | Particulate air pollution causes a spectrum of adverse health effects affecting the respiratory, cardiovascular, neurological, and metabolic systems that are hypothesised to be driven by inflammation and oxidative stress. Millions of premature deaths each year are attributed to exposure to ambient particulate matter (PM). We quantified health and economic impacts from long-term exposure to ambient PM2.5 in the population of Thailand for 2016. We collected data on ambient PM2.5 concentrations from automatic monitoring stations across Thailand over 1996-2016. We used historic exposure to PM2.5 to estimate the mortality in each province from lower respiratory infections (LRIs), stroke, chronic obstructive pulmonary disease, lung cancer, and ischaemic heart disease, and also assessed diabetes mortality, as well as incident cases of dementia and Parkinson's disease, in supplementary analyses. We applied risk estimates from the Global Exposure Mortality Model to calculate attributable mortality and quantify disability-adjusted life years (DALYs); we based economic costs on the value of a statistical life (VSL). We calculated 50 019 (95% confidence interval [CI]: 42 189-57 849) deaths and 508 918 (95% CI: 438 345-579 492) DALYs in 2016 attributed to long-term PM2.5 exposure in Thailand. Population attributable fractions ranged from 20% (95% CI: 10% to 29%) for stroke to 48% (95% CI: 27% to 63%) for LRIs. Based on the VSL, we calculated a cost of US$ 60.9 billion (95% CI: US$ 51.3-70.4 billion), which represents nearly 15% of Thailand's gross domestic product in 2016. While progress has been made to reduce exposure to ambient PM2.5 in Thailand, continued reductions based on stricter regulatory limits for PM2.5 and other air pollutants would help prolong life, and delay, or prevent, onset of cardiorespiratory and other diseases. | en_AU |
| dc.description.sponsorship | This study was funded by the Medical Research Council (MRC) (MR/R006210/1) and the Thailand Research Fund (TRF) (RDG603009). Funds to support open access were provided by Heriot-Watt University. The views expressed are those of the author(s) and not necessarily those of the MRC or TRF. | en_AU |
| dc.format.mimetype | application/pdf | en_AU |
| dc.identifier.issn | 1748-9326 | en_AU |
| dc.identifier.uri | http://hdl.handle.net/1885/311740 | |
| dc.language.iso | en_AU | en_AU |
| dc.provenance | Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. | en_AU |
| dc.publisher | IOP Publishing | en_AU |
| dc.rights | © 2021 The authors | en_AU |
| dc.rights.license | Creative Commons Attribution licence | en_AU |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_AU |
| dc.source | Environmental Research Letters | en_AU |
| dc.subject | health impact assessment | en_AU |
| dc.subject | particulate matter | en_AU |
| dc.subject | air pollution | en_AU |
| dc.subject | value of a statistical life | en_AU |
| dc.title | A health impact assessment of long-term exposure to particulate air pollution in Thailand | en_AU |
| dc.type | Journal article | en_AU |
| dcterms.accessRights | Open Access | en_AU |
| local.bibliographicCitation.issue | 5 | en_AU |
| local.contributor.affiliation | Mueller, William, Institute of Occupational Medicine | en_AU |
| local.contributor.affiliation | Vardoulakis, Sotiris, College of Health and Medicine, ANU | en_AU |
| local.contributor.affiliation | Steinle, Susanne, Institute of Occupational Medicine | en_AU |
| local.contributor.affiliation | Loh, Miranda, Institute of Occupational Medicine | en_AU |
| local.contributor.affiliation | Johnston, Helinor J, Heriot-Watt University | en_AU |
| local.contributor.affiliation | Precha, Nopadol, Walailak University | en_AU |
| local.contributor.affiliation | Kliengchuay, W., Mahidol University | en_AU |
| local.contributor.affiliation | Sahanavin, Narut, Srinakharintarawiroj University | en_AU |
| local.contributor.affiliation | Nakhapakorn, Kanchana, Mahidol University | en_AU |
| local.contributor.affiliation | Sillaparassamee, Ratthapol, Valaya Alongkorn Rajabhat University | en_AU |
| local.contributor.affiliation | Tantrakarnapa, Kraichat, Mahidol University | en_AU |
| local.contributor.affiliation | Cherrie, John W, Heriot-Watt University | en_AU |
| local.contributor.authoruid | Vardoulakis, Sotiris, u5094038 | en_AU |
| local.description.notes | Imported from ARIES | en_AU |
| local.identifier.absfor | 420200 - Epidemiology | en_AU |
| local.identifier.ariespublication | a383154xPUB19275 | en_AU |
| local.identifier.citationvolume | 16 | en_AU |
| local.identifier.doi | 10.1088/1748-9326/abe3ba | en_AU |
| local.identifier.scopusID | 2-s2.0-85105734965 | |
| local.identifier.thomsonID | WOS:000647654000001 | |
| local.publisher.url | https://iopscience.iop.org/ | en_AU |
| local.type.status | Published Version | en_AU |
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