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From within-host interactions to epidemiological competition: a general model for multiple infections.


ABSTRACT: Many hosts are infected by several parasite genotypes at a time. In these co-infected hosts, parasites can interact in various ways thus creating diverse within-host dynamics, making it difficult to predict the expression and the evolution of virulence. Moreover, multiple infections generate a combinatorial diversity of cotransmission routes at the host population level, which complicates the epidemiology and may lead to non-trivial outcomes. We introduce a new model for multiple infections, which allows any number of parasite genotypes to infect hosts and potentially coexist in the population. In our model, parasites affect one another's within-host growth through density-dependent interactions and by means of public goods and spite. These within-host interactions determine virulence, recovery and transmission rates, which are then integrated in a transmission network. We use analytical solutions and numerical simulations to investigate epidemiological feedbacks in host populations infected by several parasite genotypes. Finally, we discuss general perspectives on multiple infections.

SUBMITTER: Sofonea MT 

PROVIDER: S-EPMC4528501 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature

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From within-host interactions to epidemiological competition: a general model for multiple infections.

Sofonea Mircea T MT   Alizon Samuel S   Michalakis Yannis Y  

Philosophical transactions of the Royal Society of London. Series B, Biological sciences 20150801 1675


Many hosts are infected by several parasite genotypes at a time. In these co-infected hosts, parasites can interact in various ways thus creating diverse within-host dynamics, making it difficult to predict the expression and the evolution of virulence. Moreover, multiple infections generate a combinatorial diversity of cotransmission routes at the host population level, which complicates the epidemiology and may lead to non-trivial outcomes. We introduce a new model for multiple infections, whi  ...[more]

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