Integrated Assessment of the Public Health Effects of Climate Change for the United StatesEPA Grant Number: R824995
Title: Integrated Assessment of the Public Health Effects of Climate Change for the United States
Investigators: Patz, J. F. , Bostrom, Ann , Colwell, Rita , Ellis, Hugh , Fisher, Anne , Focks, Dana , Kalkstein, Laurence , Rose, Joan B.
Current Investigators: Patz, J. F.
Institution: The Johns Hopkins University , Georgia Institute of Technology , Pennsylvania State University , University of Delaware , University of Maryland - College Park , University of South Florida
Current Institution: The Johns Hopkins University
EPA Project Officer: Chung, Serena
Project Period: October 1, 1996 through September 30, 1999
Project Amount: $2,700,728
RFA: Global Climate (1996) RFA Text | Recipients Lists
Research Category: Global Climate Change , Ecological Indicators/Assessment/Restoration , Climate Change
The objectives of this project are to assess the impact of climate change on key public health endpoints, and to characterize and communicate this information to support policy development and analysis. To achieve these objectives the research team will: 1) analyze key climate-sensitive diseases that have the potential to expand or contract, intensify, or shift in spatial distribution; and 2) develop an interdisciplinary, integrated approach that addresses the complexity of anticipated disease responses to climate and ecological change, by utilizing quantitative methods and, for a limited case study, illustrate the costs of alternative options for reducing health risk. Communication strategies will be incorporated to insure that the findings can effectively inform policy makers on the public health risks associated with climate change. Attainment of these objectives will result in an expanded knowledge base for decision making regarding climate change policy.
Methodologic tools will include: downscaling climate analysis, geographic information systems, remote sensing, hydrologic modeling, disease modeling and spatial statistical analysis. Their approach is multidisciplinary and collaborative, involving a consortium of top researchers from serveral institutions. It involves case study analyses and includes climate change simulation downscaling, followed by hydrological and ecological modeling, which in combination constitute the driving forces for the public health outcomes. The selected climate-sensitive case studies include: water-borne Crytptosporidiosis and Cholera; vector-borne diseases, specifically Lyme and other tick-borne diseases, Dengue and Dengue Hemorrhagic Fever. Risk communication models will be used as part of their overall effort to support policy decision making regarding the public health risks associated with climate change.