Literature DB >> 16427654

Localized contacts between hosts reduce pathogen diversity.

A Nunes1, M M Telo da Gama, M G M Gomes.   

Abstract

We investigate the dynamics of a simple epidemiological model for the invasion by a pathogen strain of a population where another strain circulates. We assume that reinfection by the same strain is possible but occurs at a reduced rate due to acquired immunity. The rate of reinfection by a distinct strain is also reduced due to cross-immunity. Individual based simulations of this model on a 'small-world' network show that the proportion of local contacts in the host contact network structure significantly affects the outcome of such an invasion, and as a consequence will affect the patterns of pathogen evolution. In particular, hosts interacting through a 'small-world' network of contacts support lower prevalence of infection than well-mixed populations, and the region in parameter space for which an invading strain can become endemic and coexist with the circulating strain is smaller, reducing the potential to accommodate pathogen diversity. We discuss the underlying mechanisms for the reported effects, and we propose an effective mean-field model to account for the contact structure of the host population in 'small-world' networks.

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Year:  2006        PMID: 16427654     DOI: 10.1016/j.jtbi.2005.12.010

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  3 in total

1.  Host immunity and pathogen diversity: A computational study.

Authors:  Tomás Aquino; Ana Nunes
Journal:  Virulence       Date:  2016       Impact factor: 5.882

2.  The reinfection threshold regulates pathogen diversity: the case of influenza.

Authors:  Dinis Gökaydin; José B Oliveira-Martins; Isabel Gordo; M Gabriela M Gomes
Journal:  J R Soc Interface       Date:  2007-02-22       Impact factor: 4.118

3.  Lessons from a decade of individual-based models for infectious disease transmission: a systematic review (2006-2015).

Authors:  Lander Willem; Frederik Verelst; Joke Bilcke; Niel Hens; Philippe Beutels
Journal:  BMC Infect Dis       Date:  2017-09-11       Impact factor: 3.090

  3 in total

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