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Emergency Awards: RADx-rad Wastewater Detection of SARS-COV-2 (COVID-19) (U01 - Clinical Trials Not Allowed)
As one of the programs within the NIH Rapid Acceleration of Diagnostics-Radical (RADx-rad) program (https://www.nih.gov/research-training/medical-research-initiatives/radx/radx-programs#radx-rad), the RADx-rad Wastewater Detection of SARS-COV-2 (COVID-19) FOA will support wastewater-based testing (WBT)
surveillance which can provide detailed mapping of the extent and spread of COVID-1 9. Wastewater testing has been shown to be orders of magnitude less expensive and faster than clinical screening, albeit serving as a complementary approach rather than substituting individual-level testing and screening.
The purpose of this FOA is to solicit cooperative agreements both for field studies and for technology research and development projects capitalizing on partnerships with small business entities in the field of WBT, to address topics such as:
investigation and demonstration of specific approaches aiming to inform and optimize sample collection; implementation and development of optimized approaches to extrapolate estimation of population-level data within the community; development of optimized intervention strategies, and incorporation of computational, statistical, and mathematical models to facilitate early detection of hotspots of virus spread.
The funding for this initiative is provided from the Paycheck Protection Program and Health Care Enhancement Act, 202 0.
surveillance which can provide detailed mapping of the extent and spread of COVID-1 9. Wastewater testing has been shown to be orders of magnitude less expensive and faster than clinical screening, albeit serving as a complementary approach rather than substituting individual-level testing and screening.
The purpose of this FOA is to solicit cooperative agreements both for field studies and for technology research and development projects capitalizing on partnerships with small business entities in the field of WBT, to address topics such as:
investigation and demonstration of specific approaches aiming to inform and optimize sample collection; implementation and development of optimized approaches to extrapolate estimation of population-level data within the community; development of optimized intervention strategies, and incorporation of computational, statistical, and mathematical models to facilitate early detection of hotspots of virus spread.
The funding for this initiative is provided from the Paycheck Protection Program and Health Care Enhancement Act, 202 0.
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Department of Health and Human ServicesDepartment of Health and Human Services
Biomedical Research and Research Training
Department of Health and Human ServicesDepartment of Health and Human Services
Agency: Department of Health and Human Services
Office: National Institutes of Health
Estimated Funding: $19,000,000
Office: National Institutes of Health
Estimated Funding: $19,000,000
Who's Eligible
Relevant Nonprofit Program Categories
Obtain Full Opportunity Text:
http://grants.nih.gov/grants/guide/rfa-files/RFA-OD-20-015.html
Additional Information of Eligibility:
Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U. S. Territory or Possession; Non-domestic (non-U.S.) Entities (Foreign Institutions) are not eligible to apply.
Non-domestic (non-U.S.) components of U. S. Organizations are not eligible to apply.
Foreign components, as defined in the NIH Grants Policy Statement, are not allowed.
Full Opportunity Web Address:
http://grants.nih.gov/grants/guide/rfa-files/RFA-OD-20-015.html
Contact:
Agency Email Description:
If you have any problems linking to this funding announcement, please contact the NIH OER Webmaster
Agency Email:
Date Posted:
2020-08-06
Application Due Date:
Archive Date:
2020-10-21
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