Effects of Multiple Wildfire Smoke Pollutants (PM <sub>2.5</sub> , PM <sub>10</sub> , and Ozone) on Respiratory and Cardiovascular Hospitalizations in California (2006–2019)

The intensity and frequency of wildfire events in the United States are increasing, with wildfire emissions serving as a major contributor to air pollution, particularly through airborne particulate matter and ground-level ozone (O<sub>3</sub>). Wildfire smoke detrimentally impacts human health, and evidence has shown that wildfire fine particulate matter (PM<sub>2.5</sub>) might be more harmful than other sources of PM<sub>2.5</sub> for respiratory conditions. Epidemiological research on health effects of wildfire smoke has mainly focused on PM<sub>2.5</sub> and there is limited evidence on the impacts of particulate matter less than or equal to 10 μm in aerodynamic diameter (PM<sub>10</sub>) and O<sub>3</sub>. PM<sub>2.5</sub>, PM<sub>10</sub>, and O<sub>3</sub> might have differential effects on human health based on the source of emissions (smoke vs. non-smoke air pollution). Here, we first quantified the contribution of wildfires to PM<sub>10</sub> and O<sub>3</sub> concentrations in California, USA for years 2006-2019, using a statistical modeling framework. <i>R</i> <sup>2</sup> for our PM<sub>10</sub> predictive model ranged between 0.68 and 0.78 for prediction using testing and all monitoring sites involved, respectively. Similarly, <i>R</i> <sup>2</sup> values for our ozone predictive model ranged between 0.78 (hold-out sites) and 0.89 (all sites). Second, we quantified the short-term impacts of wildfire-specific PM<sub>10</sub> and O<sub>3</sub> concentrations, along with wildfire-specific PM<sub>2.5</sub>, on hospital admissions for respiratory and cardiovascular illnesses during three different time periods and at various spatial extents (all California ZIP codes and regional analyses). We found heterogeneous effects of wildfire smoke pollutants on different health outcomes and across different regions and periods considered in our study.

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Publication Details

Journal
GeoHealth
Published
2025-12-01
DOI
https://doi.org/10.1029/2025gh001510
Primary Topic
Fire effects on ecosystems
Type
article
Field-Weighted Citation Impact
0.00

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article

Effects of Multiple Wildfire Smoke Pollutants (PM 2.5 , PM 10 , and Ozone) on Respiratory and Cardiovascular Hospitalizations in California (2006–2019)

Alexander Gershunov, Joan A. Casey, Noémie Letellier, Rupa Basu et al.
GeoHealth
Fire effects on ecosystems
article

Effects of Multiple Wildfire Smoke Pollutants (PM 2.5 , PM 10 , and Ozone) on Respiratory and Cardiovascular Hospitalizations in California (2006–2019)

Alexander Gershunov, Joan A. Casey, Noémie Letellier, Rupa Basu, A. Vaidyanathan, Tarik Benmarhnia, Rosana Aguilera, Minghui Diao
article en

Abstract

The intensity and frequency of wildfire events in the United States are increasing, with wildfire emissions serving as a major contributor to air pollution, particularly through airborne particulate matter and ground-level ozone (O<sub>3</sub>). Wildfire smoke detrimentally impacts human health, and evidence has shown that wildfire fine particulate matter (PM<sub>2.5</sub>) might be more harmful than other sources of PM<sub>2.5</sub> for respiratory conditions. Epidemiological research on health effects of wildfire smoke has mainly focused on PM<sub>2.5</sub> and there is limited evidence on the impacts of particulate matter less than or equal to 10 μm in aerodynamic diameter (PM<sub>10</sub>) and O<sub>3</sub>. PM<sub>2.5</sub>, PM<sub>10</sub>, and O<sub>3</sub> might have differential effects on human health based on the source of emissions (smoke vs. non-smoke air pollution). Here, we first quantified the contribution of wildfires to PM<sub>10</sub> and O<sub>3</sub> concentrations in California, USA for years 2006-2019, using a statistical modeling framework. <i>R</i> <sup>2</sup> for our PM<sub>10</sub> predictive model ranged between 0.68 and 0.78 for prediction using testing and all monitoring sites involved, respectively. Similarly, <i>R</i> <sup>2</sup> values for our ozone predictive model ranged between 0.78 (hold-out sites) and 0.89 (all sites). Second, we quantified the short-term impacts of wildfire-specific PM<sub>10</sub> and O<sub>3</sub> concentrations, along with wildfire-specific PM<sub>2.5</sub>, on hospital admissions for respiratory and cardiovascular illnesses during three different time periods and at various spatial extents (all California ZIP codes and regional analyses). We found heterogeneous effects of wildfire smoke pollutants on different health outcomes and across different regions and periods considered in our study.

GeoHealthVol. 9(12)
Georgia Institute of Technology (US), Scripps Institution of Oceanography (US), Inserm (FR), École des Hautes Études en Santé Publique (FR), University of Washington (US), University of California San Diego (US), National Center for Environmental Health (US), Institut de Recherche en Santé, Environnement et Travail (FR), San Jose State University (US), Université de Rennes (FR), California Environmental Protection Agency (US)
U.S. Department of Energy
Openalex Percentile: Top 62%
Fire effects on ecosystems
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