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Abstract Exposure to fine particulate matter (PM 2.5 ), a primary component of wildfire smoke, and exposure to high temperatures both independently increase the risk of mortality, with evidence of synergistic effects. These environmental stressors often co-occur during wildfire season, and their synergistic effects are expected to worsen with climate change. However, the combined health risks of wildfire-related PM 2.5 and temperature remain poorly understood, limiting the effectiveness of public health interventions. This study investigated the joint effects of PM 2.5 and temperature on community all-cause mortality across 13 wildfire seasons (2010–2022) in southwest British Columbia, Canada. Daily estimates of ambient PM 2.5 and temperature exposure were assigned from a machine learning-based prediction model and satellite data, respectively. Using a case-crossover design and conditional logistic regression, we examined non-linear associations between co-exposures and mortality across deciles and absolute exposure ranges. We found significant, non-linear interactions, with the highest mortality risk observed on days with PM 2.5 levels of 12–14 µg/m³ and temperatures ≥ 26 °C (OR = 7.31, 95% CI: 5.34, 10.0). Co-exposures exceeding the 90th percentile showed synergistic effects, contributing an excess mortality risk of 7.9% (95% CI: 6.1, 9.1). Moderate co-exposure levels posed substantial risks, underscoring the need for greater attention to their public health impacts. Our findings highlight the urgent need to understand and address the compounding effects of PM 2.5 and temperature to mitigate risks in a changing climate.
Coker et al. (Wed,) studied this question.