Our study proposes a framework to measure long-term exposure to wildfire PM₂.₅, emphasizing frequency, duration, and intensity of events and deriving new relevant metrics.
One key metric we devised counts the number of days with any wildfire PM₂.₅ exposure, allowing identification of even minimal exposures, essential for public health assessments.
We also established an average concentration metric for the peak week of smoke levels, focusing on areas experiencing the highest exposure, critical for targeting interventions.
Our approach correlates various metrics to offer comprehensive insights into the health impacts of air pollution from wildfires, underscoring the need for informed policy decisions.
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