Working with Climate Projections to Estimate Disease Burden: Perspectives from Public Health

Kathryn C. Conlon, Kristina W. Kintziger, Meredith Jagger, Lydia Stefanova, Christopher K. Uejio and Charles Konrad
Additional contact information
Kathryn C. Conlon: Climate and Health Program, Division of Environmental Hazards and Health Effects, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA
Kristina W. Kintziger: Florida Department of Health, Tallahassee, FL 32399, USA
Meredith Jagger: Oregon Public Health Authority, Portland, OR 97232, USA
Lydia Stefanova: Center for Ocean Atmosphere Prediction Studies, Florida State University, Tallahassee, FL 32306-2741, USA
Christopher K. Uejio: Climate and Health Program, Division of Environmental Hazards and Health Effects, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA
Charles Konrad: Department of Geography, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3220, USA

IJERPH, 2016, vol. 13, issue 8, 1-23

Abstract: There is interest among agencies and public health practitioners in the United States (USA) to estimate the future burden of climate-related health outcomes. Calculating disease burden projections can be especially daunting, given the complexities of climate modeling and the multiple pathways by which climate influences public health. Interdisciplinary coordination between public health practitioners and climate scientists is necessary for scientifically derived estimates. We describe a unique partnership of state and regional climate scientists and public health practitioners assembled by the Florida Building Resilience Against Climate Effects (BRACE) program. We provide a background on climate modeling and projections that has been developed specifically for public health practitioners, describe methodologies for combining climate and health data to project disease burden, and demonstrate three examples of this process used in Florida.

Keywords: public health; climate modeling; project disease burden; attributable fraction; adaptation (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1660-4601/13/8/804/pdf (application/pdf)
https://www.mdpi.com/1660-4601/13/8/804/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:13:y:2016:i:8:p:804-:d:75658

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().