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July 4, 2026BMC Public HealthOpen Access

Mapping the landscape of mathematical models for antimicrobial resistance: a scoping review

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Authors

FSFelipe SchardongCSCláudio J. StruchinerLCLuiz Max Carvalho

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Overview

Scoping review identifies trends and gaps in mathematical models of antimicrobial resistance, indicating a need for greater diversity.

Key Points

  • This review aims to synthesize and analyze mathematical modeling studies on antimicrobial resistance (AMR) to identify trends and research gaps.
  • Conducted a scoping review following PRISMA-ScR guidelines.
  • Systematically searched PubMed, Web of Science, and Scopus from 2019-2024, including 36 eligible studies.
  • Data extraction categorized by model type, construction parameters, and model outputs.
  • Predominance of deterministic models using ordinary differential equations (ODEs), mainly on bacterial pathogens.
  • Focus largely on human hosts, with only one study using a One Health approach.
  • Limited consideration of economic impacts and significant geographical concentration in high-income countries.

Cite This Study

Schardong et al. (2026) studied this question.

synapsesocial.com/papers/6a48a83589561a0c2d78efdbhttps://doi.org/10.1186/s12889-026-27533-8
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