IDEAS home Printed from https://ideas.repec.org/a/eee/thpobi/v133y2020icp150-158.html
   My bibliography  Save this article

Systematic comparison of coexistence in models of drug-sensitive and drug-resistant pathogen strains

Author

Listed:
  • Mulberry, Nicola
  • Rutherford, Alexander
  • Colijn, Caroline

Abstract

A number of mathematical models have recently been proposed to explain empirical trends of pathogen diversity. In particular, long-term coexistence of both drug-sensitive and drug-resistant variants of a single pathogen is something of a mystery, given that simple models of pathogens competing for the same ecological niche predict competitive exclusion, and more complex models admitting coexistence require assumptions that may not be justified. Coinfection is among the candidate mechanisms to generate coexistence, as it occurs in many pathogens and provides the opportunity for strains to interact directly. Recently, coinfection and competitive release have been described as creating a form of negative frequency-dependent selection that promotes coexistence, and a range of models containing coinfection have been proposed as having generic stable coexistence of multiple strains. This abundance of new models presents the challenge of comparison and interpretation. To this end, we describe a dimensionless quantity that can be used to compare the amount of coexistence generated by different models. We focus on models that include coinfection, although this framework could be generalized to a larger class of structured models.

Suggested Citation

  • Mulberry, Nicola & Rutherford, Alexander & Colijn, Caroline, 2020. "Systematic comparison of coexistence in models of drug-sensitive and drug-resistant pathogen strains," Theoretical Population Biology, Elsevier, vol. 133(C), pages 150-158.
  • Handle: RePEc:eee:thpobi:v:133:y:2020:i:c:p:150-158
    DOI: 10.1016/j.tpb.2019.12.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S004058091930200X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tpb.2019.12.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nicoli, Emily J. & Ayabina, Diepreye & Trotter, Caroline L. & Turner, Katherine M.E. & Colijn, Caroline, 2015. "Competition, coinfection and strain replacement in models of Bordetella pertussis," Theoretical Population Biology, Elsevier, vol. 103(C), pages 84-92.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:thpobi:v:133:y:2020:i:c:p:150-158. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/intelligence .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.