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 $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 $201,299 National Science Foundation project grant supports research to develop novel predictive models of epidemic spread dynamics and validate those models using COVID-19 data. The funding will be used to conduct fundamental research advancing the scientific understanding of how uncertainties in human behavior and pathogen characteristics influence spatial and temporal stochastic epidemic dynamics. Specific aims of the research include developing new predictive dynamic models based on...
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 $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 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...
The National Science Foundation (NSF) awarded a $448,823 Project Grant under its Social, Behavioral, and Economic Sciences program (CFDA 47.075) to the Trustees of Boston University. This two-year grant, running from September 1, 2023 to August 31, 2025, aims to assess the effectiveness of various health communication tactics employed by federal, state, and local agencies to encourage vaccine uptake. The project will build a database of vaccine messaging from public health agencies, evaluate the...
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...