Dr. Kim Pepin is a quantitative biologist focused on developing models for assisting the implementation of wildlife management and disease surveillance/control strategies. The quantitative approaches used involve parameter estimation from data, statistical forecasting and mechanistic mathematical models developed with data.
Dr. Pepin aims to identify drivers of disease transmission, predict disease dynamics in wildlife and livestock populations and assess disease risk at the wildlife-human and wildlife-livestock interfaces. She is also interested in developing mechanistic population models for adaptive management of wildlife populations. Examples of this include: 1) Develop a field-data based model that predicts management strategy parameters, 2) Implement a management strategy according to model predictions and record outcome, 3) Use outcome and changing ecological conditions to update model predictions for next control activity, and 4) Repeat #2 and #3 multiple times.).
NWRC Program: Feral swine population and disease management
PhD, University of Idaho “Mechanisms of viral adaptation”, 2006
Pepin, K.M., C.B. Leach, C. Marques-Toledo, K.H. Laass, K.S. Paixao, A.D. Luis, D.T.S. Hayman, N.G. Johnson, M.G. Buhnerkempe, S. Carver, D.A. Grear, K. Tsao, A.E. Eiras, and C.T. Webb. 2015. Utility of mosquito surveillance data for spatial prioritization of vector control against dengue viruses in three Brazilian cities. Parasites & Vectors 8(98). doi: 10.1186/s13701-015-0659-y
Pepin, K.M., E. Spackman, J.D. Brown, K.L. Pabilonia, L.P. Garber, J.T. Weaver, D.A. Kennedy, K.A. Patyk, K.P. Huyvaert, R.S. Miller, A.B. Franklin, K. Pedersen, T.L. Bogich, P. Rohani, S.A. Shriner, C.T. Webb, and S. Riley. 2014. Using quantitative disease dynamics as a tool for guiding response to avian influenza in poultry in the United States of America. Preventive Veterinary Medicine 113(4):376-397. doi:10.1016/j.prevetmed.2013.11.011.
Pepin KM, Wang J, Webb CT, Poss M, Hudson PJ, Hong W, Zhu H, Guan Y, Riley S. Anticipating the prevalence of avian influenza subtypes H9 and H5 in live-bird markets. PLoS One 8:e56157.
Pepin KM, Marques-Toledo C, Scherer L, Morais MM, Ellis B, Eiras AE. Cost-effectiveness of a novel system of mosquito surveillance and control: MI-dengue. Emerging Infectious Diseases 19:542.
Pepin KM, Wang J, Webb CT, Smith GJ, Poss M, Hudson PJ, Hong W, Zhu H, Riley S, & Guan Y. Multiannual patterns of influenza A transmission in Chinese live-bird market systems. Influenza & Other Respiratory Viruses 7:97.
Abdo Z, Stein M, Wojtowicz A & Pepin KM. The ABC's of experimental evolution. ISRN Computational Biology Article ID: 467943.
Pepin KM, Eisen RJ, Mead PS, Piesman J, Fish D, Hoen AG, Barbour AG, Hamer S, Diuk-Wasser MA.. Geographic variation in the relationship between human Lyme disease incidence and the density of infected host-seeking Ixodes scapularis nymphs in the Eastern US.American Journal of Tropical Medicine & Hygiene 86:1062.
Pepin KM, Volkov I, Banavar JR, Wilke CO, & Grenfell BT. Phenotypic Differences in Viral Immune Escape Explained by Linking Within-Host Dynamics to Host-Population Immunity. Journal of Theoretical Biology 265: 501.
Steinmeyer S, Wilke CO, & Pepin KM. Methods of modeling viral disease dynamics across the within- and between-host scales: The impact of virus dose on host population immunity. Philisophical Transactions of the Royal Society B 365: 1931.
Volkov I, Pepin KM, Lloyd-Smith JO Banavar JR & Grenfell BT. Synthesizing within-host and population level selective pressures on viral populations: the impact of adaptive immunity on viral immune escape. Journal of the Royal Society Interface 7: 1311.