Ecology and Evolution of Infectious Diseases
Posted
- Opportunity number
- 22-620
- Agency
-
National Science Foundation
- Applications due
- Not on record
- Award size
- $1,500,000 to $3,000,000
Opportunity facts
- Assistance listings
- Funding instrument
- Grant
- Category
-
- Science and Technology and other Research and Development
- Eligible applicants
-
- Unrestricted
- Points of contact
- Full announcement
Opportunity details come from Grants.gov. Updated .
About this opportunity
The Ecology and Evolution of Infectious Diseases program, a multi-agency federal grant opportunity, supports research on the ecological, evolutionary, organismal, and social drivers that influence the transmission dynamics of infectious diseases. The central theme of submitted projects must be the quantitative, mathematical, or computational understanding of pathogen transmission dynamics, with the intent of discovering principles of infectious disease (re)emergence and transmission and testing mathematical or computational models that elucidate infectious disease systems. The program is open to unrestricted applicant types and is administered by the National Science Foundation, with funding also available through the USDA National Institute of Food and Agriculture, the NIH National Institute of General Medical Sciences, and the NIH Fogarty International Center.
The typical award values for this opportunity range from $50,000 to over $1 million, with project durations spanning 1-5 years. The research is expected to be conducted at academic institutions, research facilities, and field sites across the United States, with a strong emphasis on collaborative, interdisciplinary approaches that integrate knowledge across disciplines to enhance the ability to predict and control infectious diseases.
Synopsis
The multi-agency Ecology and Evolution of Infectious Diseases program supports research on the ecological, evolutionary, organismal, and social drivers that influence the transmission dynamics of infectious diseases. The central theme of submitted projects must be the quantitative, mathematical, or computational understanding of pathogen transmission dynamics. The intent is discovery of principles of infectious disease (re)emergence and transmission and testing mathematical or computational models that elucidate infectious disease systems. Projects should be broad, interdisciplinary efforts that go beyond the scope of typical studies. They should focus on the determinants and interactions of (re)emergence and transmission among any host species, including but not limited to humans, non-human animals, and/or plants. This includes, for example, the spread of pathogens; the influence of environmental factors such as climate; the population dynamics and genetics of vectors and reservoir species or hosts; how the physiology or behavior of the pathogen, vector, or host species biology affects transmission dynamics; the feedback between ecological transmission and evolutionary dynamics; and the cultural, social, behavioral, and economic dimensions of pathogen transmission and disease. Research may be on zoonotic, environmentally-borne, vector-borne, enteric, or respiratory pathogens of either terrestrial or aquatic systems and organisms, including diseases of animals and plants, at any scale from specific pathogens to inclusive environmental systems. Proposals for research on disease systems of public health concern toLow- or Middle-Income Countries (LMICs) are strongly encouraged, as are disease systems of concern in agricultural systems. Investigators are encouraged to develop the appropriate multidisciplinary team, including for example, anthropologists, modelers, ecologists, bioinformaticians, genomics researchers, social scientists, economists, oceanographers, mathematical scientists, behaviorists, epidemiologists, evolutionary biologists, entomologists, immunologists, parasitologists, microbiologists, bacteriologists, virologists, pathologists or veterinarians, with the goal of integrating knowledge across disciplines to enhance our ability to predict and control infectious diseases.
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