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General References:
Mathematical Review Material: Mathematical Background for Mathematical Epidemiology by Fred Brauer
Introductory Text:
Otto, S.P. and T. Day. 2007. A biologist's guide to mathematical
modeling in ecology and evolution. Princeton University Press
More Advanced Notes:
Brauer, F. P. van den Driessche, and J. Wu. 2008. Mathematical
Epidemiology. Springer Lecture Notes in Mathematics
Lecture References:
Dr F Brauer. Lecture 1:
Simple models of invasions and epidemics.
Dr L Allen. Lecture 2:
Stochastic population models.
Dr J Arino. Lecture 3:
Diseases in metapopulations.
Dr T Day. Lecture 4:
Modelling the ecological context of evolutionary change: Deja vu or something new and
Mathematical techniques in the evolutionary epidemiology of infectious diseases.
Dr R Gomulkiewicz. Lecture 5:
The evolution of species' niches: A population dynamics perspective.
Case Study References:
Dr M Gilchrist. Case study I:
Modeling Host-Parasite Coevolution: A Nested Approach Based on Mechanistic Models and
Evolution of virulence: Interdependence, constraints, and selection using nested models.
Supplementary Material: Evaluating the importance of within- and between-host selection pressures on the evolution of chronic pathogens
Dr L Rieseberg. Case study II:
Genetics and evolution of weedy Helianthus annuus populations: adaptation of an agricultural weed,
Invading populations of an ornamental shrub show rapid life history evolution despite genetic bottlenecks and
Adaptive evolution in invasive species.
Dr W Nelson. Case study III:
Connecting host physiology to host resistance in the conifer-bark beetle system and
A structured threshold model for mountain pine beetle outbreak.
Dr A Read. Case study IV:
Evolution-proof insecticides and
Antimicrobial resistance.
Dr X Zou. Case study V:
Modeling spatial spread of infectious diseases with latency
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