TY - JOUR
T1 - All-cause, cardiovascular, and respiratory mortality and wildfire-related ozone
T2 - a multicountry two-stage time series analysis
AU - Chen, Gongbo
AU - Yue, Xu
AU - Xu, Rongbin
AU - Yu, Wenhua
AU - Ye, Tingting
AU - Tong, Shilu
AU - Gasparrini, Antonio
AU - Bell, Michelle L.
AU - Armstrong, Ben
AU - Schwartz, Joel
AU - Jaakkola, Jouni J.K.
AU - Lavigne, Eric
AU - Saldiva, Paulo Hilario Nascimento
AU - Kan, Haidong
AU - Royé, Dominic
AU - Urban, Aleš
AU - Vicedo-Cabrera, Ana Maria
AU - Tobias, Aurelio
AU - Forsberg, Bertil
AU - Sera, Francesco
AU - Lei, Yadong
AU - Abramson, Michael J.
AU - on behalf of the Multi-Country Multi-City (MCC) Collaborative Research Network
A2 - Guo, Yuming
A2 - Li, Shanshan
N1 - Funding Information:
This study was supported by the Australian Research Council (grant number DP210102076) and the Australian National Health and Medical Research Council (grant number APP2000581). GC was supported by a Monash Early Career Postdoctoral Fellowship and an Australian National Health and Medical Research Council (NHMRC) Centre for Safe Air Postdoctoral Research Fellowship. YG was supported by a Leader Fellowship (award number GNT2008813) of the NHMRC. SL was supported by an Emerging Leader Fellowship (award number GNT2009866) of the NHMRC. AT was supported by the Spanish Ministry of Science and Innovation (MCIN), through the Research State Agency (AEI), MCIN/AEI/10.13039/501100011033 (grant number CEX2018-000794-S). AU and JK were supported by the Czech Science Foundation (project number 22-24920S). BF was supported by the research council Forte (2019-01550). XY was supported by the National Key Research and Development Program of China (grant number 2019YFA0606802). SR, AS, and AG acknowledge funding from the EU's Horizon 2020 research and innovation programme under grant agreement number 820655 (project Exhaustion). S-CP and YLG were supported by the Ministry of Science and Technology of Taiwan (grant number MOST 109-2621-M-002-021). JM was supported by a fellowship of the Funda\u00E7\u00E3o para a Ci\u00EAncia e a Tecnologia (award number SFRH/BPD/115112/2016). ST was supported by the Science and Technology Commission of Shanghai Municipality (grant number 18411951600). NS was supported by the National Institute of Environmental Health Sciences-funded HERCULES Center (grant number P30ES019776). JJKJ was supported by the Academy of Finland (grant number 310372; Global Health Risks Related to Atmospheric Composition and Weather Consortium). AMV-C acknowledges funding from the Swiss National Science Foundation (grant number TMSGI3_211626). FS was supported by the Italian Ministry of University and Research, Department of Excellence project 2023\u20132027, Rethinking Data Science\u2014Department of Statistics, Computer Science and Applications\u2014University of Florence.
Publisher Copyright:
© 2024 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
PY - 2024/7
Y1 - 2024/7
N2 - Background: Wildfire activity is an important source of tropospheric ozone (O3) pollution. However, no study to date has systematically examined the associations of wildfire-related O3 exposure with mortality globally. Methods: We did a multicountry two-stage time series analysis. From the Multi-City Multi-Country (MCC) Collaborative Research Network, data on daily all-cause, cardiovascular, and respiratory deaths were obtained from 749 locations in 43 countries or areas, representing overlapping periods from Jan 1, 2000, to Dec 31, 2016. We estimated the daily concentration of wildfire-related O3 in study locations using a chemical transport model, and then calibrated and downscaled O3 estimates to a resolution of 0·25° × 0·25° (approximately 28 km2 at the equator). Using a random-effects meta-analysis, we examined the associations of short-term wildfire-related O3 exposure (lag period of 0–2 days) with daily mortality, first at the location level and then pooled at the country, regional, and global levels. Annual excess mortality fraction in each location attributable to wildfire-related O3 was calculated with pooled effect estimates and used to obtain excess mortality fractions at country, regional, and global levels. Findings: Between 2000 and 2016, the highest maximum daily wildfire-related O3 concentrations (≥30 μg/m3) were observed in locations in South America, central America, and southeastern Asia, and the country of South Africa. Across all locations, an increase of 1 μg/m3 in the mean daily concentration of wildfire-related O3 during lag 0–2 days was associated with increases of 0·55% (95% CI 0·29 to 0·80) in daily all-cause mortality, 0·44% (–0·10 to 0·99) in daily cardiovascular mortality, and 0·82% (0·18 to 1·47) in daily respiratory mortality. The associations of daily mortality rates with wildfire-related O3 exposure showed substantial geographical heterogeneity at the country and regional levels. Across all locations, estimated annual excess mortality fractions of 0·58% (95% CI 0·31 to 0·85; 31 606 deaths [95% CI 17 038 to 46 027]) for all-cause mortality, 0·41% (–0·10 to 0·91; 5249 [–1244 to 11 620]) for cardiovascular mortality, and 0·86% (0·18 to 1·51; 4657 [999 to 8206]) for respiratory mortality were attributable to short-term exposure to wildfire-related O3. Interpretation: In this study, we observed an increase in all-cause and respiratory mortality associated with short-term wildfire-related O3 exposure. Effective risk and smoke management strategies should be implemented to protect the public from the impacts of wildfires. Funding: Australian Research Council and the Australian National Health and Medical Research Council.
AB - Background: Wildfire activity is an important source of tropospheric ozone (O3) pollution. However, no study to date has systematically examined the associations of wildfire-related O3 exposure with mortality globally. Methods: We did a multicountry two-stage time series analysis. From the Multi-City Multi-Country (MCC) Collaborative Research Network, data on daily all-cause, cardiovascular, and respiratory deaths were obtained from 749 locations in 43 countries or areas, representing overlapping periods from Jan 1, 2000, to Dec 31, 2016. We estimated the daily concentration of wildfire-related O3 in study locations using a chemical transport model, and then calibrated and downscaled O3 estimates to a resolution of 0·25° × 0·25° (approximately 28 km2 at the equator). Using a random-effects meta-analysis, we examined the associations of short-term wildfire-related O3 exposure (lag period of 0–2 days) with daily mortality, first at the location level and then pooled at the country, regional, and global levels. Annual excess mortality fraction in each location attributable to wildfire-related O3 was calculated with pooled effect estimates and used to obtain excess mortality fractions at country, regional, and global levels. Findings: Between 2000 and 2016, the highest maximum daily wildfire-related O3 concentrations (≥30 μg/m3) were observed in locations in South America, central America, and southeastern Asia, and the country of South Africa. Across all locations, an increase of 1 μg/m3 in the mean daily concentration of wildfire-related O3 during lag 0–2 days was associated with increases of 0·55% (95% CI 0·29 to 0·80) in daily all-cause mortality, 0·44% (–0·10 to 0·99) in daily cardiovascular mortality, and 0·82% (0·18 to 1·47) in daily respiratory mortality. The associations of daily mortality rates with wildfire-related O3 exposure showed substantial geographical heterogeneity at the country and regional levels. Across all locations, estimated annual excess mortality fractions of 0·58% (95% CI 0·31 to 0·85; 31 606 deaths [95% CI 17 038 to 46 027]) for all-cause mortality, 0·41% (–0·10 to 0·91; 5249 [–1244 to 11 620]) for cardiovascular mortality, and 0·86% (0·18 to 1·51; 4657 [999 to 8206]) for respiratory mortality were attributable to short-term exposure to wildfire-related O3. Interpretation: In this study, we observed an increase in all-cause and respiratory mortality associated with short-term wildfire-related O3 exposure. Effective risk and smoke management strategies should be implemented to protect the public from the impacts of wildfires. Funding: Australian Research Council and the Australian National Health and Medical Research Council.
UR - http://www.scopus.com/inward/record.url?scp=85197272393&partnerID=8YFLogxK
U2 - 10.1016/S2542-5196(24)00117-7
DO - 10.1016/S2542-5196(24)00117-7
M3 - Article
C2 - 38969473
AN - SCOPUS:85197272393
SN - 2542-5196
VL - 8
SP - e452-e462
JO - The Lancet Planetary Health
JF - The Lancet Planetary Health
IS - 7
ER -