Project Grant 2142997

Award Date 10/1/21
Completion Date 6/30/22
Dollars Obligated $200K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Charlottesville, VA, USA
Similar Awards
The National Science Foundation (NSF) awarded a $200,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the University of Virginia to develop data-driven, multimodal methods for behavior-based epidemiological modeling. The key objectives are to: Improve techniques for deriving meaningful insights from imperfect, real-world sensor data like mobile phones and search engine logs to capture complex human behaviors in real-time. Couple agent-based disease models...
This $195,101 Project Grant, awarded by the National Science Foundation's (NSF) Biological Sciences program (CFDA 47.074), will use mathematical modeling to project the healthcare burden associated with COVID-19, influenza, and respiratory syncytial virus (RSV) in the United States during the 2023-2024 respiratory virus season. The research will integrate estimates of population immunity from prior infections, vaccinations, and monoclonal antibody therapy to produce four rounds of projections...
This $251,493 Project Grant, awarded by the National Science Foundation's Engineering program (CFDA 47.041), supports collaborative research by the University of Virginia to develop optimized pooled testing strategies for efficient COVID-19 prevalence tracking and accurate virus diagnostic testing. The key objectives are to: Design effective sampling and testing algorithms to estimate community prevalence under scarce testing resource constraints. Develop optimized pooling and decoding...
This $450,189 project grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, aims to develop and evaluate computational frameworks to predict and prevent future coronavirus pandemics. The research team at Old Dominion University Research Foundation (Odurf) will prototype deep learning models to predict viral pathogenic fitness from genomic sequences, explore methods to correct sampling bias in viral genomic...
This federal Project Grant award from the National Science Foundation's (NSF) Division of Mathematical Sciences (CFDA 47.049) provides $1,344,200 to the University of Vermont to develop mathematical epidemiological models that better represent the complexities of human behavior and social processes in disease dynamics. The project will focus on understanding respiratory diseases like COVID-19 and the flu, aiming to improve the ability to predict and respond to infectious disease outbreaks. Key...
This $300,000 Project Grant from the National Science Foundation's Office of International Science and Engineering will fund research collaboration between the United States and international partners on modeling human mobility patterns and contagion dynamics during the COVID-19 pandemic. Awarded on August 1, 2021 to The Research Foundation For The State University Of New York (SUNY) at Binghamton, the two-year grant aims to advance scientific discovery and international partnerships through...
This $968,765 Project Grant awarded by the National Science Foundation's (NSF) Division of Mathematical Sciences (CFDA 47.049 - Mathematical and Physical Sciences) will develop a flexible modeling framework to simulate the impact of various testing-based infection control strategies for respiratory pathogens like SARS-CoV-2. The project aims to improve our ability to control existing respiratory diseases and enhance preparedness for future pandemics. Key deliverables include: Developing a...
The National Science Foundation awarded Virginia Polytechnic Institute and State University a $1,000,000 Project Grant under the Biological Sciences federal grant program (CFDA 47.074) to develop predictive models and community engagement strategies to prevent future pandemics. Over an 18-month period ending January 2024, the university will utilize computational and experimental methods to analyze animal virus genomes to predict their potential to infect humans, identify drug repurposing...
This $108,131 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program will fund research at Duke University to establish a new efficient simulation method for assessing rare but highly consequential epidemic events. The project aims to identify key risk factors in virus-spreading interactions that can facilitate large outbreaks, using disease models similar to COVID-19 and HIV as case studies. The research will provide improved...
This $199,167 Project Grant from the National Science Foundation Division of Environmental Biology will support research to develop a data-driven model of imperfect immunity against COVID-19. The University of Southern California will receive funding to build upon data on COVID-19 reinfections and vaccine breakthroughs to better understand how imperfect protection affects SARS-CoV-2 transmission dynamics and the long-term risks of resurgence. The project directly supports the NSF's Biological...

This Project Grant award from the National Science Foundation Division of Information and Intelligent Systems provides $200,000 to the University of Virginia for modeling and analytics to support COVID-19 outbreak response efforts in India. The award period is from October 1, 2021 to June 30, 2022.

Under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), the University of Virginia will collaborate with Princeton University and the Center for Disease Dynamics, Economics and Policy to develop models for genomic surveillance, understand causal factors in emerging COVID-19 variants, and assess vaccination strategies. Princeton University will assist in methods for early detection and testing optimization as well as analyzing multi-strain disease spread models. The Center for Disease Dynamics, Economics and Policy will utilize Indian state-level COVID-19 data to forecast district-level dynamics and estimate risk factors. This collaborative effort aims to support data-driven COVID-19 response in India through multiple institutions' complementary modeling and analytics expertise.

Generated 1/7/24, 10:29 AM