EAGER: Protecting University Communities from COVID-19 with Model-based Risk Management
- Funded by National Science Foundation (NSF)
- Total publications:0 publications
Grant number: unknown
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Key facts
Disease
COVID-19Start & end year
20202022Known Financial Commitments (USD)
$300,000Funder
National Science Foundation (NSF)Principal Investigator
Jeffrey HerrmannResearch Location
United States of AmericaLead Research Institution
University of Maryland College ParkResearch Priority Alignment
N/A
Research Category
Epidemiological studies
Research Subcategory
Disease transmission dynamics
Special Interest Tags
N/A
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Adults (18 and older)
Vulnerable Population
Unspecified
Occupations of Interest
Unspecified
Abstract
The COVID-19 pandemic has proven to be highly disruptive to the nation's higher education community, as universities struggle with safe and effective means to maintain students' progress toward their degrees. This EArly-concept Grant for Exploratory Research (EAGER) project will investigate risk-management of alternative delivery mechanisms that will enable universities to safely reopen, appropriately engaging students, faculty, and staff, while keeping the broader university community, including the neighboring businesses that serve the campus, as safe as possible from disease outbreaks. The research will generate new knowledge in the area of operational risk management and decision making related to public health and will assist university administrators and public health officials in evaluating risk management strategies to operate safely during the COVID-19 pandemic.
This EAGER award supports research on a comprehensive, data-enabled disease spread model tailored specifically to university demographics and operations. The research will yield (1) novel operational risk management formulations that specifically take participant behavior and university and surrounding community demographics into account, (2) investigations into different strategic options for educational delivery in a university community, and (3) methods to integrate empirical and conceptual models of disease spread with dynamic data in this environment.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
This EAGER award supports research on a comprehensive, data-enabled disease spread model tailored specifically to university demographics and operations. The research will yield (1) novel operational risk management formulations that specifically take participant behavior and university and surrounding community demographics into account, (2) investigations into different strategic options for educational delivery in a university community, and (3) methods to integrate empirical and conceptual models of disease spread with dynamic data in this environment.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.