Affiliation:
1. Laboratoire MIVEGEC (UMR CNRS 5290, UR IRD 224, UM1, UM2), 911 avenue Agropolis, BP 64501, 34394 Montpellier Cedex 5, France
Abstract
Multiple infections are intensively studied because of their consequences for the health of the host but also because they can radically alter the selective pressures acting on parasites. I discuss how multiple infections have been modelled in evolutionary epidemiology. First, I briefly mention within-host models, which are at the root of these epidemiological models. Then, I present the super-infection framework, with an original focus on how the definition of the super-infection function can lead to evolutionary branching. There are several co-infection models and, for each of them, I briefly go through the underlying mathematics (especially the invasion fitness of a mutant strain) and I discuss the biological assumptions they make and the questions they consequently may ask. In particular, I show that a widely used co-infection model should not be invoked for invasion analyses because it confers a frequency-dependent advantage to rare neutral mutants. Finally, I present more recent frameworks, such as the Price equation framework in epidemiology, that can account for increased parasite diversity. To conclude, I discuss some perspectives for the study of multiple infections in evolutionary epidemiology.
Subject
Biomedical Engineering,Biomaterials,Biochemistry,Bioengineering,Biophysics,Biotechnology
Cited by
74 articles.
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