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...
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....
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...
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...
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 $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 Project Grant award from the National Science Foundation (NSF), Division of Mathematical Sciences, supports the development of data-driven, multimodal methods for behavior-based epidemiological modeling. With a total funding of $150,000 over the period of October 1, 2023 to September 30, 2026, the project aims to address the challenges of behavior-based epidemiological modeling by establishing a unified modeling framework. Key products and services delivered under this grant...
This $300,000 Project Grant from the National Science Foundation's Office of International Science and Engineering will fund research collaboration between the United States and international partners on modeling human mobility patterns and contagion dynamics during the COVID-19 pandemic. Awarded on August 1, 2021 to The Research Foundation For The State University Of New York (SUNY) at Binghamton, the two-year grant aims to advance scientific discovery and international partnerships through...
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 $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...