Modelling the effect of within-host dynamics on the diversity of a multi-strain pathogen

Nefel Tellioglu1, Nicholas Geard2, Rebecca H Chisholm3

  • 1School of Computing and Information Systems, The University of Melbourne, Australia.

Insights

Understanding pathogen competition is key to controlling multi-strain infections. Direct and indirect competition can unexpectedly increase strain diversity when acting together, impacting control strategies.

Area of Science:

  • Epidemiology
  • Mathematical Biology
  • Infectious Disease Dynamics

Background:

  • Multi-strain pathogens like Group A Streptococcus, Streptococcus pneumoniae, and Staphylococcus aureus cause significant global health burdens.
  • High strain diversity in endemic settings complicates pathogen control, with mechanisms of maintenance under direct and indirect competition poorly understood.
  • Existing models often simplify direct within-host competition, lacking data for validation and raising concerns about sensitivity analysis.

Purpose of the Study:

  • To investigate how different assumptions about direct competition between pathogen strains influence epidemiological dynamics.
  • To assess the sensitivity of multi-strain pathogen models to assumptions regarding direct competition.
  • To clarify the interplay between direct and indirect competition in maintaining pathogen strain diversity.

Main Methods:

  • Utilized an agent-based model to simulate multi-strain pathogen dynamics.
  • Compared model outcomes under varying assumptions of direct competition between strains.
  • Analyzed scenarios with and without long-term immunity and varying rates of strain importation.

Main Results:

  • Assumptions about direct competition significantly impact epidemiological dynamics, especially with no long-term immunity and low strain importation rates.
  • While isolated direct or indirect competition can reduce strain diversity, their combined effect may increase it.
  • Omitting direct competition can lead to inaccurate predictions of control strategy effectiveness due to altered strain diversity.

Conclusions:

  • The interplay between direct and indirect competition is crucial for understanding pathogen strain diversity.
  • Agent-based models are valuable for exploring complex competitive interactions in pathogen populations.
  • Accurate modeling of direct competition is essential for developing effective public health interventions against multi-strain pathogens.

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