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Cited by 131Air Quality and Health ImpactsFire effects on ecosystemsClimate Change and Health Impacts

Non-Accidental Health Impacts of Wildfire Smoke

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Youssouf, Hassani, Liousse, Catherine, Roblou, Laurent, Assamoi, Eric-Michel, Salonen, Raimo, Maesano, Cara, Banerjee, Soutrik, Annesi-Maesano, Isabella·2014·International Journal of Environmental Research and Public Health
DOI 10.3390/ijerph111111772PMC PMC4245643
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Abstract

Wildfires take a heavy toll on human health worldwide. Climate change may increase the risk of wildfire frequency. Therefore, in view of adapted preventive actions, there is an urgent need to further understand the health effects and public awareness of wildfires. We conducted a systematic review of non-accidental health impacts of wildfire and incorporated lessons learned from recent experiences. Based on the literature, various studies have established the relationship between one of the major components of wildfire, particulate matter (particles with diameter less than 10 µm (PM10) and less than 2.5 µm (PM2.5)) and cardiorespiratory symptoms in terms of Emergency Rooms visits and hospital admissions. Associations between wildfire emissions and various subclinical effects have also been established. However, few relationships between wildfire emissions and mortality have been observed. Certain segments of the population may be particularly vulnerable to smoke-related health risks. Among them, people with pre-existing cardiopulmonary conditions, the elderly, smokers and, for professional reasons, firefighters. Potential action mechanisms have been highlighted. Overall, more research is needed to better understand health impact of wildfire exposure.

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Authors
Youssouf, H., Liousse, C., Roblou, L., Assamoi, E.-M., Salonen, R., Maesano, C., Banerjee, S., & Annesi-Maesano, I.
Affiliations
  • Inserm (FR)
  • Centre National de la Recherche Scientifique (FR)
  • Environmental Epidemiology Unit, National Institute for Health and Welfare, P.O. Box 95, FI-70701 Kuopio, Finland
  • Department of Epidemiology of Respiratory and Allergic Disease (EPAR), UMR-S 1136, Institute Pierre Louis of Epidemiology and Public Health, National Institute for Health and Medical Research (INSERM), 27 Rue Chaligny, 75012 Paris, France
ORCID
Venue
International Journal of Environmental Research and Public Health
Publisher
MDPI AG
Published
2014-11-14
Volume
11
Issue
11
Pages
11772-11804
ISSN
1660-4601 (ISSN-L)
DOI
10.3390/ijerph111111772
PMC
PMC4245643
OpenAlex
W2083016202
Cited by
131
References
6
Citations by year
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FWCI
0.62
Type
journal article
Language
en
Open access
Licence
Locations
  • International Journal of Environmental Research and Public Health (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • HAL (submittedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • STM:n Hallinnonalan avoin julkaisuarkisto (Julkari) (submittedVersion)
Funders
  • European Commission (20101103, EAHC 20101103)
  • Executive Agency for Health and Consumers
Topics
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
  • Physical Sciences › Environmental Science › Global and Planetary Change › Fire effects on ecosystems
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Climate Change and Health Impacts
Keywords
wildfire smoke, particulate matter, PM10, PM2.5, cardiopulmonary symptoms, emergency department visits, hospitalization, mortality, vulnerable populations, firefighters, climate change and wildfires, public awareness
MeSH terms
Air Pollutants, Environmental Exposure, Fires, Humans, Public Health, Smoke, Particulate Matter

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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