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Int. J. Environ. Res. Public Health 2016, 13(8), 804; doi:10.3390/ijerph13080804

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

1
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
2
Florida Department of Health, Tallahassee, FL 32399, USA
3
Oregon Public Health Authority, Portland, OR 97232, USA
4
Center for Ocean Atmosphere Prediction Studies, Florida State University, Tallahassee, FL 32306-2741, USA
5
Department of Geography, Florida State University, Tallahassee, FL 32306-2190, USA
6
Department of Geography, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3220, USA
Current Address: Department of Public Health, University of Tennessee, Knoxville, TN 37996, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Jan C. Semenza
Received: 20 June 2016 / Revised: 2 August 2016 / Accepted: 3 August 2016 / Published: 9 August 2016
(This article belongs to the Collection Climate Change and Human Health)
View Full-Text   |   Download PDF [6984 KB, uploaded 9 August 2016]   |  

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. View Full-Text
Keywords: public health; climate modeling; project disease burden; attributable fraction; adaptation public health; climate modeling; project disease burden; attributable fraction; adaptation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Conlon, K.C.; Kintziger, K.W.; Jagger, M.; Stefanova, L.; Uejio, C.K.; Konrad, C. Working with Climate Projections to Estimate Disease Burden: Perspectives from Public Health. Int. J. Environ. Res. Public Health 2016, 13, 804.

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