Project Grant 2327844

Award Date 1/1/24
Completion Date 12/31/26
Dollars Obligated $392K
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Stillwater, OK 74078, USA
Similar Awards
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...
This federal Project Grant award of $360,000 from the National Science Foundation's (NSF) Division of Mathematical Sciences and the CDC Coronavirus and Other Respiratory Viruses Division aims to improve policymaking processes for mitigating the transmission of respiratory pathogens, such as during the COVID-19 pandemic. The principal investigators will develop and study game theoretical mathematical models, simulation tools, and numerical approaches that can be adapted to specific public...
This National Science Foundation Project Grant of $200,000.00, awarded on November 15, 2022 with a completion date of October 31, 2026, will fund research at Columbia University to develop behavior-driven mathematical models and forecasting systems for respiratory disease transmission in urban settings. Funded jointly by NSF's Division of Mathematical Sciences and Division of Social and Economic Sciences under the Biological Sciences program (CFDA 47.074), this research aims to incorporate...
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 $366,181 National Science Foundation project grant supports research and data collection activities at Penn State University from July 2022 to June 2024 under the federal Social, Behavioral, and Economic Sciences program (CFDA 47.075). The grantee will collect extensive data on U.S. state policy responses to the COVID-19 pandemic, analyze the adoption and diffusion of pandemic policies, and track online discussions by state officials. This includes gathering information on hundreds of...
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 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) aims to incorporate group-level behavioral responses into epidemic models. The award of $700,000 will support research to develop mathematical models and computational algorithms that capture how group behaviors, such as the formation of social bubbles and changes in risk-mitigating norms, can impact pandemic trajectories. The project, led by Northeastern University,...
This $200,000 Project Grant from the National Science Foundation Division of Environmental Biology supports research investigating the uptake, persistence, and impact of behavioral interventions on respiratory viruses. Funded under the Biological Sciences program (CFDA 47.074), the Pennsylvania State University will model the dynamics of COVID-19 and influenza transmission considering behavioral changes mandated by public health interventions as well as voluntary individual behaviors....
This Project Grant award of $549,983 from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research to analyze public health crisis response and backlash experienced by state and local officials during the COVID-19 pandemic. The research aims to develop a conceptual framework for understanding variation in crisis response and backlash, testing hypotheses through qualitative interviews, social media analysis, and other data...
This $175,000 Project Grant awarded by the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) will develop new computational models and forecasting approaches to predict the incidence and severity of respiratory illnesses like COVID-19, influenza, and RSV for the 2024-2025 season. The project aims to combine computational modeling with human judgment to improve the accuracy and responsiveness of public health forecasting on a national scale. It will deliver weekly...

This Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) provides $391,547 to Oklahoma State University to explore factors driving variations in COVID-19 outcomes across Oklahoma. The research team will develop data sources, statistical models, and mathematical models to understand how socioeconomic, behavioral, and environmental factors influenced COVID-19 dynamics in the state. The project aims to create a data repository and public-facing epidemiological modeling platform to enable further research into mitigating large-scale disease outbreaks. This interdisciplinary collaboration between social scientists and infectious disease modelers will generate protocols for standardizing behavioral and socioeconomic data, contrast model performance with and without new survey data, and make the resulting code and datasets freely available. The award period spans from January 1, 2024 to December 31, 2026.

Generated 6/11/24, 8:16 AM