Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/25959
Title: Mortality risk attributable to wildfire-related PM<inf>2·5</inf> pollution: a global time series study in 749 locations
Authors: Chen, G
Guo, Y
Yue, X
Tong, S
Gasparrini, A
Bell, ML
Armstrong, B
Schwartz, J
Jaakkola, JJK
Zanobetti, A
Lavigne, E
Nascimento Saldiva, PH
Kan, H
Royé, D
Milojevic, A
Overcenco, A
Urban, A
Schneider, A
Entezari, A
Vicedo-Cabrera, AM
Zeka, A
Tobias, A
Nunes, B
Alahmad, B
Forsberg, B
Pan, SC
Íñiguez, C
Ameling, C
De la Cruz Valencia, C
Åström, C
Houthuijs, D
Van Dung, D
Samoli, E
Mayvaneh, F
Sera, F
Carrasco-Escobar, G
Lei, Y
Orru, H
Kim, H
Holobaca, IH
Kyselý, J
Teixeira, JP
Madureira, J
Katsouyanni, K
Hurtado-Díaz, M
Maasikmets, M
Ragettli, MS
Hashizume, M
Stafoggia, M
Pascal, M
Scortichini, M
de Sousa Zanotti Stagliorio Coêlho, M
Valdés Ortega, N
Ryti, NRI
Scovronick, N
Matus, P
Goodman, P
Garland, RM
Abrutzky, R
Garcia, SO
Rao, S
Fratianni, S
Dang, TN
Colistro, V
Huber, V
Lee, W
Seposo, X
Honda, Y
Guo, YL
Ye, T
Yu, W
Abramson, MJ
Samet, JM
Li, S
Issue Date: 8-Sep-2021
Publisher: Elsevier
Citation: Chen, G. et al. (2021) 'Mortality risk attributable to wildfire-related PM<inf>2·5</inf> pollution: a global time series study in 749 locations', The Lancet Planetary Health, 5 (9), pp. e579 - e587. doi: 10.1016/S2542-5196(21)00200-X.
Abstract: Copyright © 2021 The Author(s). 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.
Description: Data sharing: Data used in this study were collected by collaborators within the MCC Network under a data sharing agreement and cannot be made available publicly
URI: https://bura.brunel.ac.uk/handle/2438/25959
DOI: https://doi.org/10.1016/S2542-5196(21)00200-X
Other Identifiers: ORCID iD: Ariana Zeka https://orcid.org/0000-0002-9570-8831
Appears in Collections:Dept of Life Sciences Research Papers

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