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Mortality risk attributable to wildfire-related PM2·5 pollution: a global time series study in 749 locations

The Lancet. Planetary health. 2021 Sep ; 5 (9) : e579-e587.

Lancet Planet Health
ISSN 2542-5196
Source

Language English Country Netherlands Media print

Document type Journal Article, Meta-Analysis, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't

Persistent link https://www.medvik.cz/link/pmid34508679

Grant support
MR/M022625/1 Medical Research Council - United Kingdom
MR/R013349/1 Medical Research Council - United Kingdom
MR/S019669/1 Medical Research Council - United Kingdom
P30 ES019776 NIEHS NIH HHS - United States

PubMed 34508679
DOI 10.1016/s2542-5196(21)00200-x
PII: S2542-5196(21)00200-X
Knihovny.cz E-resources

MeSH
Air Pollutants * analysis MeSH
Particulate Matter analysis MeSH
Wildfires * MeSH
Environmental Exposure MeSH
Publication type
Journal Article MeSH
Meta-Analysis MeSH
Research Support, Non-U.S. Gov't MeSH
Research Support, N.I.H., Extramural MeSH
Geographicals
Australia MeSH
Names of Substances
Air Pollutants * MeSH
Particulate Matter MeSH

BACKGROUND: Many regions of the world are now facing more frequent and unprecedentedly large wildfires. However, the association between wildfire-related PM2·5 and mortality has not been well characterised. We aimed to comprehensively assess the association between short-term exposure to wildfire-related PM2·5 and mortality across various regions of the world. METHODS: For this time series study, data on daily counts of deaths for all causes, cardiovascular causes, and respiratory causes were collected from 749 cities in 43 countries and regions during 2000-16. Daily concentrations of wildfire-related PM2·5 were estimated using the three-dimensional chemical transport model GEOS-Chem at a 0·25° × 0·25° resolution. The association between wildfire-related PM2·5 exposure and mortality was examined using a quasi-Poisson time series model in each city considering both the current-day and lag effects, and the effect estimates were then pooled using a random-effects meta-analysis. Based on these pooled effect estimates, the population attributable fraction and relative risk (RR) of annual mortality due to acute wildfire-related PM2·5 exposure was calculated. FINDINGS: 65·6 million all-cause deaths, 15·1 million cardiovascular deaths, and 6·8 million respiratory deaths were included in our analyses. The pooled RRs of mortality associated with each 10 μg/m3 increase in the 3-day moving average (lag 0-2 days) of wildfire-related PM2·5 exposure were 1·019 (95% CI 1·016-1·022) for all-cause mortality, 1·017 (1·012-1·021) for cardiovascular mortality, and 1·019 (1·013-1·025) for respiratory mortality. Overall, 0·62% (95% CI 0·48-0·75) of all-cause deaths, 0·55% (0·43-0·67) of cardiovascular deaths, and 0·64% (0·50-0·78) of respiratory deaths were annually attributable to the acute impacts of wildfire-related PM2·5 exposure during the study period. INTERPRETATION: Short-term exposure to wildfire-related PM2·5 was associated with increased risk of mortality. Urgent action is needed to reduce health risks from the increasing wildfires. FUNDING: Australian Research Council, Australian National Health & Medical Research Council.

Mortality risk attributable to wildfire-related PM2·5 pollution: a global time series study in 749 locations

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