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Timothy Reluga
Selected publications
T. Reluga and A. Galvani. A general approach to population games with application to vaccination. Mathematical Biosciences, 2011, volume 230(2), 67-78. doi:10.1016/j.mbs.2011.01.003
D. M. Cornforth, T. C. Reluga, E. Shim, C. T. Bauch, A. P. Galvani, and L. A. Meyers. Erratic u vaccination emerges from short-sighted behaviour in contact networks PLOS Computational Biology, 2010, volume 7(1): e1001062. doi:10.1371/journal.pcbi.1001062
T. Reluga. Game theory of social distancing in response to an epidemic. PLOS Computational Biology, 2010, volume 6 (5): e1000793. doi:10.1371/journal.pcbi.1000793
T. Reluga. Branching processes and non-commuting random variables in population biology. Canadian Applied Math Quarterly Quarterly, 2009, volume 17 (2), 387. Link
T. Reluga. An SIS epidemiology game with two subpopulations. Journal of Biological Dynamics, 2009, volume 3, 515-531. doi:10.1080/17513750802638399
Assistant Professor of Mathematics and Biology
Email: treluga@psu.edu
Phone: 814-865-3883
Office: 424 McAllister
Research interests
My research interests concern the description, understand, and prediction of the dynamics of biological systems. Over the coming century, human civilization will be profoundly effected by the interactions among ecosystems, human populations, and the environment. We must understand these interactions if we hope to manage and administer a stable and sustainable society. With the help of a robust theory of biological systems, we can successfully confront the challenges of medicine, public health maintenance, sustainable resource usage, and environmental management. To this end, I use applied mathematics to create qualitative and quantitative descriptions of these complex biological processes. In general, my work is driven by personnel curiosity and the intellectual appeal of a problem. Population biology is my core research interest, but my work encompasses topics in
- applied mathematics
- evolutionary biology
- immunology
- epidemiology
- economics
- computer science
Much of my most recent research has focussed on incorporating social and behavioral factors into our theories of infectious disease dynamics and management.
