This $360,000 Project Grant, awarded by the National Science Foundation's (NSF) Division of Mathematical Sciences (CFDA 47.049 - Mathematical and Physical Sciences), aims to improve public health policy making for mitigating the spread of respiratory diseases, such as during the COVID-19 pandemic. The key products and services to be delivered include developing and studying game theoretical mathematical models, simulation tools, and numerical approaches that can be used by policymakers to...
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 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...
This $255,870 National Science Foundation Technology, Innovation, and Partnerships grant to Strivision LLC supports the development of an airborne contagion mapping platform through visual exhale monitoring. The goal is to create a method for monitoring and evaluating exposure risks from airborne viral contaminants such as COVID-19 to reduce public health risks from respiratory disease transmission. Strivision will advance understanding of how airborne contagions spread within indoor spaces by...
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 (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $150,000 to the University of Illinois to develop proactive solutions for public health protection against airborne diseases. The key objectives are: Create an intelligent, automated system for real-time, multiplex monitoring of critical airborne pathogens, including the ability to obtain time-resolved measurements of infectious aerosols...
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...
The Massachusetts Institute of Technology (MIT) received a $150,000 Project Grant award from the National Science Foundation (NSF) to support modeling and control of COVID-19 transmission in indoor environments. Funded under the NSF's Engineering program (CFDA 47.041), this award will allow MIT researchers to develop models and analysis to better understand how SARS-CoV-2, the virus that causes COVID-19, spreads in confined indoor spaces. By gaining insights into transmission dynamics in...
This $249,999 National Science Foundation project grant supports the development of a bioengineered nanobarrier spray to protect against SARS-CoV-2 and other viral infections of the nasopharynx. Funded under the NSF Engineering program (CFDA 47.041), the two-year award to the University of Southern California will support computational modeling of nanobarrier delivery via nasal applicator as well as efficacy testing in a coronavirus mouse model. Specifically, the university researchers will...
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...