The National Science Foundation (NSF) awarded a $100,000 Project Grant under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to Trustees of Boston University. The grant will fund a 2-year research project to improve the estimation of epidemic quantities and assessment of intervention impacts for acute infectious diseases by incorporating realistic behavioral feedback into mechanistic models. The project involves recruiting individuals with acute respiratory infections...
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 $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 $170,566 federal Project Grant award from the National Science Foundation (NSF) Division of Mathematical Sciences (CFDA 47.049 - Mathematical and Physical Sciences) supports the development and delivery of an innovative mathematical modeling framework to integrate public health policy, public opinion dynamics, and epidemic outcomes. The project aims to establish a detailed, integrated system that captures the complex feedback among public health policies, dynamic public opinions, and...
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 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 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 $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 $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 $223,001 National Science Foundation project grant supports research to develop novel predictive models of epidemic spread dynamics and validate those models against COVID-19 data. The award is made under the NSF Engineering program (CFDA 47.041) to support fundamental engineering research. Specifically, researchers at the University of Cincinnati will work collaboratively to: develop new predictive dynamic models based on partial differential equations; study the interaction of...
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, will focus on two key questions: 1) How can group-level behavioral responses be incorporated into epidemic models? 2) How significantly do these group-level responses influence pandemic outcomes, and what are the resulting policy implications? The researchers plan to build mathematical foundations using network models and game theory, create scalable computational approaches, and validate the models at the county and neighborhood levels in the U.S. The insights from this research could inform policies related to public health, community resilience, and other social issues where group behaviors play a critical role.