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An Agent-Based Model to study the epidemiological and evolutionary dynamics of Influenza viruses
Authors:Benjamin Roche  John M Drake  Pejman Rohani
Affiliation:(1) Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA;(2) UMI IRD/UPMC 209 - UMMISCO, 93143 Bondy, France;(3) Odum School of Ecology, University of Georgia, Athens, GA 30602, USA;(4) Center for Tropical and Emerging Global Diseases, University of Georgia, Athens, GA 30602, USA;(5) Center for the Study of Complex Systems, University of Michigan, Ann Arbor, MI 48109, USA;(6) Fogarty International Center, National Institutes of Health, Bethesda, MD 20892, USA
Abstract:

Background  

Influenza A viruses exhibit complex epidemiological patterns in a number of mammalian and avian hosts. Understanding transmission of these viruses necessitates taking into account their evolution, which represents a challenge for developing mathematical models. This is because the phrasing of multi-strain systems in terms of traditional compartmental ODE models either requires simplifying assumptions to be made that overlook important evolutionary processes, or leads to complex dynamical systems that are too cumbersome to analyse.
Keywords:
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