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Quantitative Bioscience at the University of Tennessee

Epidemiology & Disease Ecology

Epidemiology image.

Disease ecology explores the relationships between parasitic, bacterial and viral infectious diseases, their animal and human hosts, and their environment. Common themes of research in the discipline include the factors responsible for the emergence, re-emergence and persistence of diseases within animal and human populations, the factors contributing to their zoonotic or anthroponotic spread, the impact of environmental disturbance on these dynamics, and the development of new approaches to surveillance and monitoring. This highly interdisciplinary field draws from the fields of microbiology, ecology, genetics, geography, medicine, mathematics and epidemiology to better understand the interaction between hosts and pathogens.

Researcher Department Research Interests
J. Day photo. Judy Day
Mathematics; Electrical Engineering & Computer Science Mathematical modeling and control, dynamical systems, model predictive control, acute inflammation/immunology
S. Eda photo. Shigetoshi Eda
Forestry, Wildlife and Fisheries; Associate Director, Center for Wildlife Health Mathematical modeling of Johne's disease epidemiology and immunology, development of an onsite diagnostic system for diseases and physiological conditions
N. Fefferman. Nina Fefferman
Ecology & Evolutionary Biology; Mathematics; Director, Math Modeling Consulting Center Self-organizing complex systems, mathematical and computational models of problems in epidemiology, evolutionary and behavioral ecology, conservation biology
L. Gross. Louis Gross
Ecology & Evolutionary Biology; Mathematics Mathematical ecology. Director, NIMBioS; Director, The Institute for Environmental Modeling (TIEM)
K. Kintziger. Kristina Kintziger
Public Health Environmental health and infectious disease epidemiology, impacts of climate change on human health
S. Lenhart. Suzanne Lenhart
Mathematics Optimal control, population and environmental models, natural resource modeling, disease models
A. Odoi photo. Agricola Odoi
Biomedical and Diagnostic Sciences, College of Veterinary Medicine GIS and spatial epidemiology in health research and practice, zoonotic infections of public health significance, determinants of population health
O. Prosper photo. Olivia Prosper
Mathematics Mathematical biology, modeling disease dynamics, population dynamics, optimal control
C. Strickland. Christopher Strickland
Mathematics, Ecology & Evolutionary Biology Mathematical ecology, addiction epidemiology, data-driven mathematical modeling, computational biomath

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From 2008 until early 2021, NIMBioS was supported by the National Science Foundation through NSF Award #DBI-1300426, with additional support from The University of Tennessee, Knoxville. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
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