Jeremy J. Hess, Shubhayu Saha, Paul J. Schramm, Kathryn C. Conlon, Christopher K. Uejio, and George Luber used Cryptosporidiosis data from Project Tycho to create a guide for health departments on how to measure anticipated disease burden resulting from climate change. The authors provide detailed explanations about the process to identify causal pathways, establishing baseline estimates, quantifying burdens and risk, as well as sensitivity and limitation assessments.
Paul J. Schramm
Kathryn C. Conlon
Related Project Tycho Datasets
This guide presents a starting point for health departments interested in developing climate change health impact projections and lays out a general map of the process of establishing exposure-response relationships and developing scenario-based projections. The specifics of the process used to project future disease burden will vary greatly depending on local climate impacts, underlying vulnerabilities, the disease of interest, and other factors. While there is no "gold standard" for projecting the health impacts of climate change, our goal is to provide a digestible but thorough overview that will orient those interested in projecting climate change disease burden to facilitate public health preparedness for the challenges ahead.
Read the guide