Tim Reluga
Associate Professor of Mathematics and Biology

0109B McAllister
University Park, PA  tcr2@psu.edu
 8148653883
Research Summary
Dynamics of biological systems
Huck Affiliations
Publication Tags
Game Theory Infection Health Costs Vaccination Viscosity Infectious Diseases Public Health Immunity Game Vaccines Population Herd Immunity Animals Epidemics Policy Public Policy Communicable Diseases Community Model Population Dynamics Distribution Costs And Cost Analysis Network Model MethodologyMost Recent Papers
Dynamic and game theory of infectious disease stigmas
Timothy Reluga, Rachel Annette Smith, David Peter Hughes, 2019, Journal of Theoretical Biology on p. 95107
Game dynamic model of social distancing while cost of infection varies with epidemic burden
Samit Bhattacharyya, Timothy Reluga, 2019, IMA Journal of Applied Mathematics on p. 2343
Unintended consequences and the paradox of control: Management of emerging pathogens with agespecific virulence
Spencer Carran, Matthew Ferrari, Timothy Reluga, 2018, PLoS Neglected Tropical Diseases on p. e0005997
Provisioning of public health can be designed to anticipate public policy responses
Jing Li, Darla V. Lindberg, Rachel A. Smith, Timothy C. Reluga, 2017, Bulletin of Mathematical Biology on p. 163190
The importance of being atomic: Ecological invasions as random walks instead of waves
Timothy C. Reluga, 2016, Theoretical Population Biology on p. 157169
Resource distribution drives the adoption of migratory, partially migratory, or residential strategies
Timothy Reluga, Allison K. Shaw, 2015, Theoretical Ecology on p. 437447
Optimal migratory behavior in spatiallyexplicit seasonal environments
Timothy C. Reluga, Allison K. Shaw, 2014, Discrete and Continuous Dynamical Systems  Series B on p. 33593378
Population viscosity suppresses disease emergence by preserving local herd immunity
Timothy C. Reluga, Eunha Shim, 2014, Proceedings of the Royal Society B: Biological Sciences
A reduction method for Boolean network models proven to conserve attractors
Assieh Saadatpour, Réka Albert, Timothy C. Reluga, 2013, SIAM Journal on Applied Dynamical Systems on p. 19972011
Equilibria of an epidemic game with piecewise linear social distancing cost
Timothy C. Reluga, 2013, Bulletin of Mathematical Biology on p. 19611984
MostCited Papers
A general approach for population games with application to vaccination
Timothy Reluga, Alison P. Galvani, 2011, Mathematical Biosciences on p. 6778
Erratic flu vaccination emerges from shortsighted behavior in contact networks
Daniel M. Cornforth, Timothy C. Reluga, Eunha Shim, Chris T. Bauch, Alison P. Galvani, Lauren Ancel Meyers, 2011, PLoS Computational Biology
A reduction method for Boolean network models proven to conserve attractors
Assieh Saadatpour, Réka Albert, Timothy C. Reluga, 2013, SIAM Journal on Applied Dynamical Systems on p. 19972011
Games of agedependent prevention of chronic infections by social distancing
Timothy Reluga, Jing Li, 2013, Journal of Mathematical Biology on p. 15271553
Equilibria of an epidemic game with piecewise linear social distancing cost
Timothy C. Reluga, 2013, Bulletin of Mathematical Biology on p. 19611984
Resource distribution drives the adoption of migratory, partially migratory, or residential strategies
Timothy Reluga, Allison K. Shaw, 2015, Theoretical Ecology on p. 437447
Dynamic and game theory of infectious disease stigmas
Timothy Reluga, Rachel Annette Smith, David Peter Hughes, 2019, Journal of Theoretical Biology on p. 95107
The importance of being atomic: Ecological invasions as random walks instead of waves
Timothy C. Reluga, 2016, Theoretical Population Biology on p. 157169
Population viscosity suppresses disease emergence by preserving local herd immunity
Timothy C. Reluga, Eunha Shim, 2014, Proceedings of the Royal Society B: Biological Sciences
Optimal migratory behavior in spatiallyexplicit seasonal environments
Timothy C. Reluga, Allison K. Shaw, 2014, Discrete and Continuous Dynamical Systems  Series B on p. 33593378
News Articles Featuring Tim Reluga
Jun 27, 2019
Game theory shows why stigmatization may not make sense in modern society
Although stigmatizing people suffering from an infectious disease may have been adapted for prehistoric humans, now it could cause more harm than good, according to a team of Penn State researchers.
Full Article