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How direct competition shapes coexistence and vaccine effects in multi-strain pathogen systems

Erida Gjini*, Carina Valente, Raquel Sá-Leão, M. Gabriela M. Gomes

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

We describe an integrated modeling framework for understanding strain coexistence in polymorphic pathogen systems. Previous studies have debated the utility of neutral formulations and focused on cross-immunity between strains as a major stabilizing mechanism. Here we convey that direct competition for colonization mediates stable coexistence only when competitive abilities amongst pathogen clones satisfy certain pairwise asymmetries. We illustrate our ideas with nested SIS models of single and dual colonization, applied to polymorphic pneumococcal bacteria. By fitting the models to cross-sectional prevalence data from Portugal (before and after the introduction of a seven-valent pneumococcal conjugate vaccine), we are able to not only statistically compare neutral and non-neutral epidemiological formulations, but also estimate vaccine efficacy, transmission and competition parameters simultaneously. Our study highlights that the response of polymorphic pathogen populations to interventions holds crucial information about strain interactions, which can be extracted by suitable nested modeling.

Original languageEnglish
Pages (from-to)50-60
Number of pages11
JournalJournal of Theoretical Biology
Volume388
DOIs
Publication statusPublished - 7 Jan 2016

Funding

The authors would like to thank Samuel Alizon for helpful comments on earlier versions of this manuscript. E.G. acknowledges the Portuguese Foundation for Science and Technology (FCT) for post-doctoral fellowship within grant PTDC/BIA-BEC/103484/2008 awarded to M.G.M.G. The work was also supported by the FCT [grant number PTDC/BIA-BEC/098289/2008 to R.S.L. , SFRH/BD/70058/2010 to C.V. , and PEst-OE/EQB/LA0004/2011 to Associate Laboratory] and by the European Commission [EC-ICT-231807] to M.G.M.G.

Keywords

  • Bayesian inference
  • co-infection
  • ecology
  • neutral model
  • PCV7
  • pneumococcus

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