Co-circulating pathogens of humans: a systematic review of mechanistic transmission models

Kelsey E Shaw1, Jennifer K Peterson1, Neda Jalali1

  • 1Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556, USA.

PubMed

Insights

Mathematical models increasingly examine co-circulating pathogens, not just single ones. This review analyzed 326 studies, finding new pathogen emergence drives modeling of multiple infections and interventions.

Area of Science:

  • Epidemiology
  • Mathematical Biology
  • Public Health

Background:

  • Most infectious disease models historically focus on single pathogens.
  • Co-circulating pathogens are common in real-world scenarios.
  • Understanding pathogen interactions is crucial for public health.

Purpose of the Study:

  • To systematically review mechanistic, population-level models of co-circulating human pathogens.
  • To identify pathogen types, modeling techniques, and motivations in existing literature.
  • To quantify pathogen-pathogen interactions in co-circulation models.

Main Methods:

  • Systematic literature review of 326 published papers.
  • Analysis of pathogen types, modeling techniques, and study motivations.
  • Development of an interaction index to quantify cross-scale and pathogen-pathogen interactions.

Main Results:

  • Emergence of new pathogens (e.g., HIV, SARS-CoV-2) spurred modeling of their interactions with established pathogens.
  • Pathogen characteristics, like HIV's immune suppression, influence modeling dynamics.
  • Primary motivations for modeling were exploring disease dynamics and evaluating interventions.

Conclusions:

  • New pathogen emergence significantly impacts modeling of co-circulating diseases.
  • Pathogen-specific characteristics necessitate tailored modeling approaches.
  • Future research should address misdiagnosis and resource competition among co-circulating pathogens.

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