Ecology and Evolution of Infectious Diseases
Posted
- Opportunity number
- 23-616
- 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
-
- Other
- Points of contact
- Full announcement
Opportunity details come from Grants.gov. Updated .
About this opportunity
This federal grant opportunity, titled "Ecology and Evolution of Infectious Diseases," is funded by the National Science Foundation (NSF) and aims to support research on the ecological, evolutionary, organismal, and social drivers that influence the transmission dynamics of infectious diseases. The central theme of the proposed projects must be the quantitative, mathematical, or computational understanding of pathogen transmission dynamics. The program encourages interdisciplinary teams to conduct broad, integrative research that goes beyond the scope of typical studies, focusing on the determinants and interactions of (re)emergence and transmission among any host species, including humans, non-human animals, and plants. The evaluation criteria emphasize the project's potential to advance scientific knowledge, integrate across disciplines, and enhance the ability to predict and control infectious diseases. The deadline for submission is not provided.
The typical award values for this grant opportunity range from $200,000 to $10,000,000, with project durations of 1-5 years. The research may be conducted at various locations, including university research facilities, agricultural experimental stations, and field sites across the United States, as well as in low- and middle-income countries where proposals for disease systems of public health concern are strongly encouraged.
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, aquatic, or marine 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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