Monitoring Cause-specific School Absenteeism for Estimating Community-wide Influenza and SARS-CoV-2 Transmission
Opportunity Category Explanation:
Funding Instrument Type:
Category of Funding Activity:
State governments County governments City or township governments Special district governments Independent school districts Public and State controlled institutions of higher education Native American tribal governments (Federally recognized) Public housing authorities/Indian housing authorities Native American tribal organizations (other than Federally recognized tribal governments) Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Private institutions of higher education For profit organizations other than small businesses Small businesses
Additional Information on Eligibility:
Department of Health and Human Services Centers for Disease Control and Prevention – ERA
Sep 29, 2020
Dec 18, 2020 Electronically submitted applications must be submitted no later than 5:00 p.m., ET, on the listed application due date.
Last Updated Date:
Sep 29, 2020
Estimated Total Program Funding:
Expected Number of Awards:
The purpose of this notice of funding opportunity (NOFO) is to support a research project that aims to develop and implement an influenza-like illness (ILI)-specific student absentee monitoring system in kindergarten through twelfth grade (K-12) schools and assess its usability for early detection of influenza, SARS-CoV-2, and other respiratory pathogen transmission in schools and surrounding communities. To achieve this aim, the project team will: 1) rapidly determine the causes of school absenteeism in students across selected school district(s) over a three-year period; 2) detect within-household transmission of influenza and SARS-CoV-2 in households from which a student has been absent from school due to ILI; and 3) assess comparability between influenza-specific and SARS-CoV-2-specific student absenteeism data from the participating schools and multiple layers of complementary influenza and SARS-CoV-2 surveillance data routinely collected in the health care facilities serving the general population of this school district.
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