NIMBioS Past Postdoctoral Fellow
Suzanne O'Regan
Dates: January 2015 – August 2016
Personal Website
Twitter: @SuzanneMORegan
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
NIMBioS Profile: Q&A with Dr. O'Regan
Feature article: Parasitic disease: Contact rates, competition matter in transmission
Video Interview:
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. [Online]
- O'Regan SM, Burton DL. 2018. How stochasticity influences leading indicators of critical transitions. Bulletin of Mathematical Biology 80(6): 1630-1654. [Online]
- Peace A et al. 2019. A highly invasive chimeric ranavirus can decimate tadpole populations rapidly through multiple transmission pathways. Ecological Modelling 410:108777. [Online]
- Sims C, Finnoff D, O'Regan SM. 2016. Public control of rational and unpredictable epidemics. Journal of Economic Behavior & Organization. [Online]
- 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. [Online]
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.
Media Coverage
- New model uses public health statistics to signal when disease elimination is imminent. UGA Today (4 January 2016)
- New methods help advance infectious disease forecasting. NSF from the Field (4 January 2016)
- New methods help advance infectious disease forecasting. Science Newsline (6 January 2016)
- Parasitic disease: Contact rates, competition matter in transmission. Science Newsline (8 September 2015)
- Parasitic disease: Contact rates, competition matter in transmission. NSF News in the Field (8 September 2015)
- Parasitic disease: Contact rates, competition matter in transmission. ScienceDaily (8 September 2015)
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