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Research Program and Funding Opportunities

 
Global Environmental Health

A better understanding of how climate change will alter human health risks and who is most vulnerable to those health risks is essential for preventing climate-related morbidity and mortality. The NIEHS led an ad hoc interagency working group in developing a white paper in 2009 that outlines research needs for eleven categories of consequences of climate change for human health, including asthma and respiratory disease, cancer, cardiovascular disease and stroke, foodborne diseases and nutrition, human developmental effects, mental health and stress-related disorders, neurological diseases, vectorborne and zoonotic diseases, waterborne diseases, and weather-related morbidity and mortality. This report is available online: A Human Health Perspective on Climate Change (Full Report) (4MB).

NIEHS supports a variety of human health and climate change related research, both internally and through grant programs.

Current NIEHS Funding Opportunities

Climate Change and Health: Assessing and Modeling Population Vulnerability to Climate Change (R21) 

This funding opportunity announcement (FOA) encourages research applications to examine the differential risk factors of populations that lead to or are associated with increased vulnerability to exposures, diseases, and other adverse health outcomes related to climate change. Applications may involve either applied research studies that address specific hypotheses about risk factors or population characteristics associated with increased vulnerability, or research projects to develop general models or methods for identifying and characterizing population vulnerability to climate change. 

More information on this grant program can be found on the Climate Change and Human Health Extramural Funding.

Recent NIEHS Funding Opportunities

Centers for Oceans and Human Health 

This funding opportunity announcement (FOA) issued by the National Institute of Environmental Health Sciences (NIEHS), and the National Science Foundation (NSF) solicits grant applications that address research approaches to problems that are relevant to oceans and human health.  The purpose of Centers for Oceans and Human Health (COHH) is to provide linkages between members of the ocean sciences and biomedical communities in order to support interdisciplinary research in areas where improved understanding of marine processes and systems has potential to reduce public health risks.  This FOA will solicit grant applications that address harmful algal bloom (HAB) research, marine pollution (e.g., chemical toxicants assessment of long-term chronic exposures versus acute exposures; aspects of global climate change that influence ocean related human health outcomes; and development of statistical and bioinformatic tools to link developed oceanographic models with less well developed human health exposure and disease models).  COHH awards are expected to create an environment conducive to interdisciplinary and reciprocally beneficial collaborations among biomedical scientists (e.g., epidemiologists, pharmacologists, toxicologists, microbiologists, cell and molecular biologists) and ocean scientists (e.g., biological and physical oceanographers, geochemists, and ecologists) with the common goal of improving our knowledge of the impacts of the ocean on human health. 

More information on this program can be found at the Centers for Oceans and Human Health Program page at http://www.niehs.nih.gov/research/supported/dert/cospb/programs/oceans/index.cfm

Space-Time Modeling for Linking Climate Change, Pollutant Exposure, and Built Environment (R01ES014843)

Montserrat Fuentes, North Carolina State University | fuentes@stat.ncsu.edu


This joint collaboration between North Carolina State University, Duke University, and the University of North Carolina at Chapel Hill is developing broad spatial-temporal statistical models to study the impact on pregnancy outcomes and mortality of air pollution under climate change. The project is developing models to simultaneously account for different pollutant types and periods of susceptibility to exposure, as well as social determinants including the perceived physical and built environment.


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