Article Text

Identification of the elements of models of antimicrobial resistance of bacteria for assessing their usefulness and usability in One Health decision making: a protocol for scoping review
  1. Kamal Raj Acharya1,
  2. Jhoana P Romero-Leiton2,
  3. Elizabeth Jane Parmley3,
  4. Bouchra Nasri1
  1. 1Département de médecine sociale et préventive, École de Santé Publique, University of Montreal, Montreal, Quebec, Canada
  2. 2Department of Mathematics, University of Manitoba, Winnipeg, Manitoba, Canada
  3. 3Department of Population Medicine, University of Guelph, Guelph, Ontario, Canada
  1. Correspondence to Professor Bouchra Nasri; bouchra.nasri{at}


Introduction Antimicrobial resistance (AMR) is a complex problem that requires the One Health approach, that is, a collaboration among various disciplines working in different sectors (animal, human and environment) to resolve it. Mathematical and statistical models have been used to understand AMR development, emergence, dissemination, prediction and forecasting. A review of the published models of AMR will help consolidate our knowledge of the dynamics of AMR and will also facilitate decision-makers and researchers in evaluating the credibility, generalisability and interpretation of the results and aspects of AMR models. The study objective is to identify and synthesise knowledge on mathematical and statistical models of AMR among bacteria in animals, humans and environmental compartments.

Methods and analysis Eligibility criteria: Original research studies reporting mathematical and statistical models of AMR among bacteria in animal, human and environmental compartments that were published until 2022 in English, French and Spanish will be included in this study. Sources of evidence: Database of PubMed, Agricola (Ovid), Centre for Agriculture and Bioscience Direct (CABI), Web of Science (Clarivate), Cumulative Index to Nursing and Allied Health Literature (CINAHL) and MathScinet. Data charting: Metadata of the study, the context of the study, model structure, model process and reporting quality will be extracted. A narrative summary of this information, gaps and recommendations will be prepared and reported in One Health decision-making context.

Ethics and dissemination Research ethics board approval was not obtained for this study as neither human participation nor unpublished human data were used in this study. The study findings will be widely disseminated among the One Health Modelling Network for Emerging Infections network and stakeholders by means of conferences, and publication in open-access peer-reviewed journals.


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  • Contributors KRA, JPR-L, EJP and BN conceived this study. KRA drafted the manuscript and will conduct the analysis. All the coauthors contributed to the revision of the manuscript and have approved the final manuscript.

  • Funding This study is funded through the One Health Modelling Network for Emerging Infections (OMNI-RÉUNIS) and Mathematics for Public health (MfPh), which are funded by the Natural Sciences and Engineering Research Council of Canada (NSERC) and Public Health Agency of Canada (PHAC). This study is also supported by the Fonds de recherche du Québec – santé, theÉcole de santé publique de l’Université de Montréal, the Centre de recherche ensanté publique (CRESP)

  • Competing interests None declared.

  • Patient and public involvement Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.