This work aims to enhance existing health damage estimation methods used in economic analyses to inform environmental decision-making activities. Benefit-cost analysis is a cornerstone of U.S. regulatory analysis, and quantification of health benefits has provided the justification, and evidence of success, of numerous state and federal environmental policies. Specifically, we aim to improve current methods available for estimation of health damages of three of the deadliest extreme weather events: flooding and heat/cold waves. While we believe this work could have numerous applications in disaster management and public health, it is particularly timely adding health damages in the NOAA Billion Dollar Disasters cost estimates and the Social Cost of Carbon (SCC) health damages estimates. Improving the health damage estimates and methods for accounting for distributional effects are identified priorities for updating the SCC, which is a priority of the current administration. Our work will develop improvements to the existing NOAA National Centers for Environmental Information Billion Dollar Disasters product.
We are developing agent-based models that integrate synthetic populations and environmental data to compute exposures to hazards and relate these to resulting health outcomes. These results will be used to improve estimates of distributional health damages, especially for flooding, heat waves, and cold waves in Texas.