NIMBioS Past Postdoctoral Fellow
Dates: January 2015 – August 2016
Project Title: A mathematical framework for elucidating the impact of environmental drivers on the incidence of emerging and re-emerging pathogens
Suzanne O'Regan (Applied Mathematics, University College Cork, Ireland, 2011) is developing a mathematical framework to elucidate the influence of changing environmental drivers on infectious disease risk.
After completing her fellowship, O'Regan joined the Department of Mathematics at North Carolina A&T State University as an assistant professor.
NIMBioS Seminar: Detecting critical transitions in infectious disease dynamics
Q&A with Dr. O'Regan
Feature article: Parasitic disease: Contact rates, competition matter in transmission
Tipping points in epidemics
Publications while at NIMBioS
O'Regan SM. 2018. How noise and coupling influence leading indicators of population extinction in a spatially extended ecological system. Journal of Biological Dynamics 12(1): 211-241.
O'Regan SM, Burton DL. 2018. How stochasticity influences leading indicators of critical transitions. Bulletin of Mathematical Biology 80(6): 1630-1654.
Sims C, Finnoff D, O'Regan SM. 2016. Public control of rational and unpredictable epidemics.
Journal of Economic Behavior & Organization.
O'Regan SM, Lillie JW, Drake JM. 2015. Leading indicators of mosquito-borne disease elimination. Theoretical Ecology: pp. 1-18. [Online]
O'Regan SM, Vinson JE, Park A. 2015. Interspecific contact and competition may affect the strength and direction of disease-diversity relationships for directly transmitted microparasites.
The American Naturalist 186(4):480–494.
Grants/Proposals while at NIMBioS
Han B, Drake JM, O’Regan SM. 2017. Global patterns, predictors, and their dynamical consequences in zoonotic diseases of mammals. National Science Foundation, Ecology and Evolution of Infectious Diseases Program, $2,000,000. Funded.
Main NIMBioS Postdoc page
1122 Volunteer Blvd., Suite 106
University of Tennessee
PH: (865) 974-9334
FAX: (865) 974-9300
NIMBioS is 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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