
About
Lindsay T. Keegan is a researcher at the University of Utah, affiliated with the School of Medicine (Department of Internal Medicine) and adjunct roles in Family & Preventive Medicine and Population Health Sciences. Their work integrates epidemiology, mathematical modeling, and public health to study infectious disease dynamics.
- Education: PhD from McMaster University, Postdoctoral Fellowship at Johns Hopkins Bloomberg School of Public Health, BS in Biology from the University of Florida.
Lindsay's research focuses on healthcare-associated infections, emerging diseases, and modeling transmission patterns using statistical and mathematical methods. Key areas include dengue, SARS-CoV-2, and Clostridioides difficile, with an emphasis on public health interventions.
Their recent publications span topics like seasonal dengue in Thailand, age-structured SARS-CoV-2 models, and antibiotic use tradeoffs. These studies often employ modeling, data analysis, and interdisciplinary collaboration, reflecting a trend toward predictive analytics in infectious disease control.
Lindsay contributes to the Utah Infectious Disease Dynamics Group, which combines expertise in epidemiology, mathematics, and biology to inform disease control strategies. Their work addresses complex challenges such as missing data, evolving pathogens, and non-pharmaceutical interventions.
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