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 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 $968,765 Project Grant award from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049) will develop a flexible modeling framework to simulate the performance of different testing-based policies for controlling the spread of respiratory pathogens, including SARS-CoV-2. The project will characterize infection trajectories and create statistical tools to infer how test results, infectiousness, and behavior relate over the course of an infection. To maximize...
This $1,344,200 Project Grant award from the National Science Foundation's (NSF) Division of Mathematical Sciences (CFDA 47.049 Mathematical and Physical Sciences) funds a research project to develop improved epidemiological models that better represent the complexities of human behavior and social processes in response to infectious disease outbreaks.
The project aims to construct mathematical models that dynamically update to represent how human cognition, social influences, and policy...
The National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075) awarded a $600,000 Project Grant to Lehigh University to develop a novel human judgment platform for generating temporal forecasts of infectious disease trajectories. The key products and services to be delivered under this 4-year award include:
Recruitment of experts in infectious disease modeling, public health, and clinical medicine to establish cultural norms, needs, and...
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...
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...
This $360,000 Project Grant award, co-funded by the National Science Foundation (NSF) Division of Mathematical Sciences (DMS) and the CDC Coronavirus and Other Respiratory Viruses Division (CORVD), aims to improve policymaking processes for mitigating the transmission of respiratory pathogens. The University of Illinois, the awardee, will develop and study game theoretical mathematical models, simulation tools, and numerical approaches that incorporate individuals' decision-making and...
This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) provides $450,189 to Old Dominion University Research Foundation (ODURF) to develop and evaluate computational frameworks that can predict the transmission and pathogenic behavior of novel coronaviruses or new variants.
The key products and services to be delivered under this award include:
Prototyping a deep learning model to predict viral pathogenic fitness from...
This $1,000,000 project grant from the National Science Foundation's Biological Sciences program (CFDA 47.074) supports the development of a Center for Pandemic Decision Science at the University of Texas at Austin from September 1, 2022 to February 29, 2024. The Center aims to advance the integration of complex systems science into pandemic decision-making through a series of multidisciplinary workshops, pilot studies, and educational/community outreach activities. Key goals include...