معرفی
Eva Enns is an Associate Professor in the Division of Health Policy & Management at the University of Minnesota School of Public Health. Her work focuses on developing mathematical models of infectious disease transmission to inform public health policy and intervention strategies.
Her educational background includes:
- PhD in Electrical Engineering, Stanford University, 2012
- MS in Electrical Engineering, Stanford University, 2008
- BSc in Electrical Engineering, Massachusetts Institute of Technology, 2006
Eva Enns specializes in mathematical modeling of infectious disease spread, with particular expertise in HIV/AIDS, sexually transmitted infections (STIs), and cost-effectiveness analysis of public health interventions. Her research employs network analysis and model calibration techniques to evaluate strategies for disease prevention, management, and control. She has developed methodologies to address infectious disease outbreaks through sophisticated computational approaches that bridge engineering principles with public health applications. Her work has significant implications for healthcare policy development and resource allocation in epidemic response.
Analysis of her recent publications reveals a strong focus on HIV/AIDS interventions, cost-effectiveness of medical treatments, and mathematical modeling of infectious disease transmission. Her research spans multiple disciplines including epidemiology, health economics, and computational modeling, with particular emphasis on translating complex mathematical models into actionable public health policy recommendations. She frequently collaborates with interdisciplinary teams to address pressing infectious disease challenges.
Dr. Enns maintains an active research program with consistent publication output across high-impact journals in infectious disease modeling and health policy, demonstrating her significant contributions to the field.
Dr. Enns advises students in the Division of Health Policy & Management and collaborates with various research teams on infectious disease modeling projects. Her work bridges the gap between engineering methodologies and public health applications, creating novel approaches to understanding and mitigating infectious disease spread.
Her research is conducted within the Division of Health Policy & Management at the University of Minnesota School of Public Health, where she contributes to the department's mission of improving population health through evidence-based policy analysis and development.
