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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F21%3A00548850" target="_blank" >RIV/68378289:_____/21:00548850 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.thelancet.com/journals/lanplh/article/PIIS2542-5196(21)00200-X/fulltext#%20" target="_blank" >https://www.thelancet.com/journals/lanplh/article/PIIS2542-5196(21)00200-X/fulltext#%20</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/S2542-5196(21)00200-X" target="_blank" >10.1016/S2542-5196(21)00200-X</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10509 - Meteorology and atmospheric sciences

Result continuities

  • Project

    <a href="/en/project/GA20-28560S" target="_blank" >GA20-28560S: Driving mechanisms of extremes in reanalysis and climate models</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Lancet Planetary Health

  • ISSN

    2542-5196

  • e-ISSN

    2542-5196

  • Volume of the periodical

    5

  • Issue of the periodical within the volume

    9

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    9

  • Pages from-to

    "E579"-"E587"

  • UT code for WoS article

    001067434800001

  • EID of the result in the Scopus database

    2-s2.0-85117543568