2021
DOI: 10.1016/j.onehlt.2021.100339
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EMBRACE-WATERS statement: Recommendations for reporting of studies on antimicrobial resistance in wastewater and related aquatic environments

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Cited by 12 publications
(6 citation statements)
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“…Established One Health reporting frameworks should be followed to guarantee human, animal, and environmental domains are comprehensively integrated in future antibiotic resistance transmission research and to ensure study reporting is of high quality and consistent across diverse disciplines. There was significant heterogeneity in antibiotic resistance outcome measures, metrics, and statistical methods used in studies included in this review, limiting comparability of studies. It would be of considerable value to convene an interdisciplinary panel of experts to establish guidelines for standardizing analysis approaches and reporting elements for One Health antibiotic resistance studies, similar to what has previously been done for reporting on antibiotic resistance in water, qPCR/digital PCR for environmental microbiology applications, and One Health studies generally. Temporal, spatial, and epidemiological (i.e., documenting direct or indirect exposure between linked samples) matching of human, animal, and environmental samples is necessary to draw stronger conclusions regarding antibiotic resistance outcomes across sample types. Ideally, transmission studies should include longitudinal designs with repeated prospective sampling of animal and environmental samples prior to repeated collection of human stool samples, both to better establish directionality of resistance exchange and capture short-term dissemination events …”
Section: Resultsmentioning
confidence: 99%
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“…Established One Health reporting frameworks should be followed to guarantee human, animal, and environmental domains are comprehensively integrated in future antibiotic resistance transmission research and to ensure study reporting is of high quality and consistent across diverse disciplines. There was significant heterogeneity in antibiotic resistance outcome measures, metrics, and statistical methods used in studies included in this review, limiting comparability of studies. It would be of considerable value to convene an interdisciplinary panel of experts to establish guidelines for standardizing analysis approaches and reporting elements for One Health antibiotic resistance studies, similar to what has previously been done for reporting on antibiotic resistance in water, qPCR/digital PCR for environmental microbiology applications, and One Health studies generally. Temporal, spatial, and epidemiological (i.e., documenting direct or indirect exposure between linked samples) matching of human, animal, and environmental samples is necessary to draw stronger conclusions regarding antibiotic resistance outcomes across sample types. Ideally, transmission studies should include longitudinal designs with repeated prospective sampling of animal and environmental samples prior to repeated collection of human stool samples, both to better establish directionality of resistance exchange and capture short-term dissemination events …”
Section: Resultsmentioning
confidence: 99%
“…Additionally, contextual definitions (e.g., “small-scale”, urbanicity) were often heterogeneous or unreported in studies included in this review. Consistent reporting of fine-scale contexts, such as urbanicity, would aid in identifying environmental factors impacting zoonotic antibiotic resistance transmission …”
Section: Resultsmentioning
confidence: 99%
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“…The minimum information for publication of quantitative digital PCR experiments (dMIQE2020) 52 guidelines checklist is included as Table S13 . The checklist for the environmental microbiology minimum information (EMMI) Guidelines 53 is included in Table S14 The EMBRACE-WATERS (reporting antimicrobial resistance in waters) statement 54 checklist is included in Table S15 .…”
Section: Methodsmentioning
confidence: 99%
“…There have been a number of recent calls for standardization of targets and methods for environmental AMR monitoring. , Because AMR is complex, a multitarget, adaptable approach will be required, depending on the objective of the monitoring program. The complexity of AMR also mandates special attention to quality assurance/quality control in experimental design, execution, and reporting…”
Section: Local and Global Collaboration Required To Standardize Monit...mentioning
confidence: 99%