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

Abstract

IntroductionAntimicrobial 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 analysisEligibility 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and disseminationResearch ethics board approval was not obtained for this study as neither human participation nor unpublished human data were used in this study.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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“…A multidisciplinary panel of experts has proposed guidelines for structuring and reporting full‐scale AMR and antimicrobial consumption/antimicrobial residue surveillance data across the three sectors 44,45 . A scoping review has been initiated to identify and synthesize knowledge on mathematical and statistical models of AMR among bacteria in animals, humans, and environmental compartments 46 . Meanwhile, the usage of biodiversity data for research into disease dynamics, particularly for emerging infectious diseases, has not been fully leveraged, although it is consistently contributing to disease ecology research.…”

“…44,45 A scoping review has been initiated to identify and synthesize knowledge on mathematical and statistical models of AMR among bacteria in animals, humans, and environmental compartments. 46 Meanwhile, the usage of biodiversity data for research into disease dynamics, particularly for emerging infectious diseases, has not been fully leveraged, although it is consistently contributing to disease ecology research. The contribution of biodiversity data should be acknowledged, strengthened, and promoted for a better understanding of infectious disease dynamics in the One Health context.…”