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 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...
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 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 National Science Foundation (NSF) award, under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program, provides $700,000 over 3 years to Northeastern University to develop mathematical models and computational algorithms that incorporate group-level behavioral responses into epidemic models. The research aims to better understand how social interactions, risk-mitigating norms, and the formation of pandemic "social bubbles" influence the trajectories of...
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 $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...
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 $500,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA #47.070) supports research investigating the "pandemic lifecycle" through three collaborating institutions in North Carolina. Duke University serves as the primary awardee and will lead efforts to establish working groups examining fundamental questions around how infectious diseases spread locally and regionally. A pilot study aims to develop simulation...
This National Science Foundation Project Grant of $365,556 supports collaborative research between mathematicians, biologists, and engineers at the University of Wisconsin-Madison to develop new mathematical tools and biological experiments essential to understanding virus spread and extinction. Funded through the NSF's Biological Sciences program (CFDA 47.074), the research will establish an integrated experimental-mathematical framework to study how spatial structure affects viral evolution...