Selected Publications
Linda J. S. Allen
Books and Book Chapters
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2015. Allen, LJS.
Stochastic Population and Epidemic Models: Persistence and Extinction.
Mathematical Biosciences Lecture Series. Springer.
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2003 / 2010. Allen, LJS.
An Introduction to Stochastic Processes with Applications to Biology.
Prentice Hall. Second edition, Chapman & Hall/CRC Press.
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2007. Allen, LJS.
An Introduction to Mathematical Biology.
Prentice Hall.
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2008. Allen, LJS.
“An Introduction to Stochastic Epidemic Models.”
In Mathematical Epidemiology,
Lecture Notes in Mathematics 1945, Springer.
Selected Journal Articles
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1994. Allen, LJS.
Some discrete-time SI, SIR, and SIS epidemic models.
Mathematical Biosciences 124: 83–105.
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2000. Allen, LJS and A. Burgin.
Comparison of deterministic and stochastic SIS and SIR epidemic models in discrete time.
Mathematical Biosciences 163: 1–33.
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2003. Allen, LJS and EJ Allen.
A comparison of three different stochastic population models with regard to persistence time.
Theoretical Population Biology 64: 439–449.
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2006. Allen, LJS, RK McCormack, and CB Jonsson.
Mathematical models for hantavirus infection in rodents.
Bulletin of Mathematical Biology 68: 511–524.
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2007. Allen, LJS, BM Bolker, Y. Lou, and AL Nevai.
Asymptotic profiles of the steady states for an SIS epidemic patch model.
SIAM Journal on Applied Mathematics.
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2008. Allen, EJ, LJS Allen, A. Arciniega, and P. Greenwood.
Construction of equivalent stochastic differential equation models.
Stochastic Analysis and Applications.
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2008. Allen, LJS and P. van den Driessche.
The basic reproduction number in some discrete-time epidemic models.
Journal of Difference Equations and Applications.
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2012. Allen, LJS and GE Lahodny Jr.
Extinction thresholds in deterministic and stochastic epidemic models.
Journal of Biological Dynamics.
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2013. Allen, LJS and P. van den Driessche.
Relations between deterministic and stochastic thresholds for disease extinction.
Mathematical Biosciences.
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2017. Allen, LJS.
A primer on stochastic epidemic models.
Infectious Disease Modelling.