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A Causal Inference Analysis of the Effect of Wildland Fire Smoke on Ambient Air Pollution Levels and Health Burden
Citation:
Rappold, A., A. Larsen, AND B. Reich. A Causal Inference Analysis of the Effect of Wildland Fire Smoke on Ambient Air Pollution Levels and Health Burden. Joint Statitical Meeting, Baltimore, Maryland, July 29 - August 03, 2017.
Impact/Purpose:
We develop a causal inference framework to assess contributions of fire to ambient PM in the presence of spatial interference.
Description:
Wildfire smoke is a major contributor to ambient air pollution levels. In this talk, we develop a spatio-temporal model to estimate the contribution of fire smoke to overall air pollution in different regions of the country. We combine numerical model output with observational data within a causal inference framework. Our methods account for aggregation and potential bias of the numerical model simulation, and address uncertainty in the causal estimates. We apply the proposed method to estimation of ozone and fine particulate matter from wildland fires and the impact on health burden assessment.