
Resource distribution drives the adoption of migratory, partially migratory, or residential strategies.
By Timothy Reluga and Allison Shaw.
 In submission, July, 2014.
Preprint PDF.

Population viscosity stops disease emergence by preserving local herd immunity. By Timothy Reluga and Eunha Shim.
 Accepted to Proceedings of the Royal Society B , September, 2014.
Preprint PDF.

Optimal migratory behavior in spatiallyexplicit seasonal environments. By Timothy Reluga and Allison Shaw.
 Discrete and Continuous Dynamical Systems  Series B October 9, 2014, 19(10), 33593378. (Submitted July, 2013).
DOI:10.1007/s0028501205438,
Preprint PDF

The systems theory of community health and infectious disease. By Jing Li, Darla V. Lindberg, Rachel A. Smith, and Timothy C. Reluga.
 submitted, 2013.
Preprint PDF.

A reduction method for Boolean networks proven to conserve attractors. By Assieh Saadatpour, Reka Albert, and Timothy Reluga.
 SIAM Journal on Applied Dynamical Systems,
November, 2013, Volume 12, Issue 4, pp 19972011.
DOI:10.1137/13090537X,
Preprint PDF.

Solutions of an epidemic game with linear social distancing cost.
By T. Reluga.
 Bulletin of Mathematical Biology October 2013, Volume 75, Issue 10, pp 19611984.
DOI:10.1007/s1153801398795,
Preprint PDF.

Games of agedependent prevention of chronic infections by social distancing.
By T. Reluga and J. Li.
 Journal of Mathematical Biology, 2012.
DOI:10.1007/s0028501205438,
Preprint PDF.

A general approach to population games with application to vaccination. By
T. Reluga and A. Galvani.
 Mathematical Biosciences, 230 (2): 6778, April, 2011.
(received the 2013 Bellman Prize for best biannual paper)
DOI:10.1016/j.mbs.2011.01.003,
Botched Pubmed,
Preprint PDF.

Erratic flu vaccination emerges from shortsighted behaviour in contact
networks. By D. M. Cornforth, T. C. Reluga, E. Shim, C. T. Bauch, A. P.
Galvani, , and L. A. Meyers.
 PLOS Computational Biology, 7 (1): e1001062, 2011.
DOI:10.1371/journal.pcbi.1001062,
Botched Pubmed,
Preprint PDF.

Game theory of social distancing in response to an epidemic. By T. Reluga.
 PLOS Computational Biology, 6 (5): e1000793,
2010.
The papers used differential game theory to find the equilibrium
behavior during an epidemic.
DOI:10.1371/journal.pcbi.100079,
Botched Pubmed,
Preprint PDF.

Branching processes and noncommuting random variables in population biology.
By T. Reluga.
 Canadian Applied Math Quarterly, 17 (2): 387,
2009.
Link,
Preprint PDF.

An SIS epidemiology game with two subpopulations. By T. Reluga.
 Journal of Biological Dynamics, 3 (5):
515531, 2009.
See
Cressman 1996 for some earlier discussion of related stability ideas.
DOI:10.1080/17513750802638399,
Preprint PDF.

The discounted reproductive number for epidemiology.
By T. Reluga, J. Medlock, and A. Galvani.
 Mathematical Biosciences and Engineering, 6 (2): 377393, 2009.
This paper uses Mmatrix theory, nonnegative matrices, and
PerronFrobenius theory to establish some useful results regarding
nextgeneration matrixes for population biology.
DOI:10.3934/mbe.2009.6.377,
Botched Pubmed,
Preprint PDF.

Analysis of hepatitis C virus infection models with hepatocyte homeostasis.
By T. Reluga, H. Dahari, and A. S. Perelson.
 SIAM Journal on Applied Mathematics, 69 (4):
9991023, 2009.
This paper provides a complete bifurcation analysis of Harel's
homeostasis hypothesis
for hepatitis C treatment responses, including formulas that can used to
predict clearance, partial infection, and bistability.
The analysis has been subsequently discussed by
DebRoy, Bolker, and Martcheva, 2009.
DOI:10.1137/080714579,
Botched Pubmed,
Preprint PDF.

Backward bifurcations and multiple equilibria in epidemic models with
structured immunity. By T. Reluga, J. Medlock, and A. Perelson.
 Journal of Theoretical Biology, 252 (1): 155165, 2008.
One of the issues that bugged me when first learning mathematical epidemiology
was that it completely ignored the internal state of
the hosts changed because of immune responses. How did we know that theories which ignored the complexities of the immune response within individuals were adequate to explain populationscale dynamics? This paper is a step forward in resolving this by constructing some specific hypotheses and conditions.
(update 201208: Our results are nicely complementary to those in an earlier paper by
Hethcote, Yi, and Jing, 1999, which we were unaware of in 2008.)
DOI:10.1016/j.jtbi.2008.01.014,
Botched Pubmed,
Preprint PDF.

Optimal timing of disease transmission in an agestructured population. By
T. Reluga, J. Medlock, E. Poolman, and A. Galvani.
 Bulletin of Mathematical Biology, 69 (8): 27112722, 2007.
This paper studies how agedependent virulence can lead to a a
socialdistancing game with two different Nash equilibria  one that
maximizes transmission and one that minimizes transmission. This is closely
related to the concept of ``endemic stability'' from veterinary science.
Polio is used as an illustrative example.
DOI Link,
Preprint PDF.

Reservoir interactions and disease emergence. By T. Reluga, D. B. Walton,
R. Meza, and A. Galvani.
 Theoretical Population Biology, 72 (3):
400408, 2007.
This paper provides a modelling framework for the study of diseaseemergence pathways. This is a concrete approach to riskassessment
associated with emergence patterns like those proposed by Wolfe et al..
This paper contains some useful discussions of reducible branching
processes and the multivariable form of L'Hopital's rule. L'Hopital's rule is
particularly useful for multivariable generating functions because critical
processes are sure to have a double root.
DOI Link,
Botched Pubmed,
Preprint PDF.

Longstanding influenza vaccination policy is in accord with individual
selfinterest but not with the utilitarian optimum. By A. Galvani,
T. Reluga, and G. Chapman.
 Proceedings of the National Academy of Sciences, 104
(13): 56925697, March 27 2007.
DOI Link,
Pubmed,
Preprint PDF.

Resistance mechanisms matter in SIRS models. By T. Reluga and J. Medlock.
 Mathematical Biosciences and Engineering, 4
(3): 553563, July 2007.
This paper provides a resolution to a question of the time as to why
different models of immunity seemed to yield contradictory results.
DOI Link,
Link,
Preprint PDF.

Evolving public perceptions and stability in vaccine uptake. By T. Reluga,
C. Bauch, and A. Galvani.
 Mathematical Biosciences, 204: 185198, 2006.
DOI
Link,
Preprint PDF.

A model of spatial epidemic spread when individuals move within overlapping
home ranges. By T. Reluga, J. Medlock, and A. Galvani.
 Bulletin of Mathematical Biology, 68 (2):
401416, February 2006.
This paper uses an OrnsteinUhlenbeck process to describe spatial
movement and obtains some asymptotic results for the speed of spatial spread
of an epidemic. It provides a resolution to the problem of
whether spatial epidemic spread is governed by distributed
contacts or distribution of infected.
C++/Linux Code.
DOI Link,
Preprint PDF.

On antibiotic cycling and optimal heterogeneity. By T. Reluga.
 Mathematical Medicine and Biology, June 2005.
This paper studies generalizations of the Meissner equation to show
how changes in antibiotic use may increase or decrease resistance prevalence
through resonance phenomena.
The same results apply to general habitat switching problems
in genetics (see
Salathe 2009
and
Gaal, 2010
)
DOI
Link, Preprint
PDF.

Nonequilibrium thermodynamics of a nonlinear biochemical switch in a cellular
signaling process. By H. Qian and T. Reluga.
 Physical Review Letters, 94: 028101, January 2005.
DOI
Link,
Preprint PDF.

Simulated evolution of selfish herd behavior. By T. Reluga and S. Viscido.
 Journal of Theoretical Biololgy, 234 (2):
213225, 2005.
C++/Linux Code.
DOI
Link,
Preprint PDF.

Stochasticity, invasions, and branching random walks. By M. Kot, J. Medlock,
T. Reluga, and D. B. Walton.
 Theoretical Population Biology, 66 (3):
175184, 2004.
DOI
Link,
Preprint PDF.

A twophase epidemic driven by diffusion. By T. Reluga.
 Journal of Theoretical Biology, 229 (2): 249261, July 21 2004.
This paper shows how a doubleepidemic might emerge from a
bioterrorism attack. In an important special case, travelling epidemic waves
can emerge even when only driven by a bioterrorism agent in 1 or 2 dimensions.
This is a pretty strange effect, and yet another example of how 3 dimensions are
special. This also provides an explanation of anomolous travelling wave speeds
found by J. Cooke.
DOI Link,
Preprint PDF.

Analysis of periodic growthdisturbance models. By T. Reluga.
 Theoretical Population Biology, 66 (2):
151161, September 2004.
DOI
Link,
Preprint PDF.