دورية أكاديمية
A tool to enhance antimicrobial stewardship using similarity networks to identify antimicrobial resistance patterns across farms.
| العنوان: | A tool to enhance antimicrobial stewardship using similarity networks to identify antimicrobial resistance patterns across farms. |
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| المؤلفون: | Aguilar-Vega C; Center for Animal Disease Modeling and Surveillance (CADMS), Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, CA, USA.; Animal Health Department, Faculty of Veterinary Medicine, VISAVET Health Surveillance Centre, Complutense University of Madrid, Madrid, Spain., Scoglio C; Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS, USA., Clavijo MJ; Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, IA, USA.; Pig Improvement Company (PIC), Hendersonville, TN, USA., Robbins R; Pig Improvement Company (PIC), Hendersonville, TN, USA., Karriker L; Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, IA, USA., Liu X; Computer Science Department, University of California, Davis, CA, USA., Martínez-López B; Center for Animal Disease Modeling and Surveillance (CADMS), Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, CA, USA. beamartinezlopez@ucdavis.edu. |
| المصدر: | Scientific reports [Sci Rep] 2023 Feb 20; Vol. 13 (1), pp. 2931. Date of Electronic Publication: 2023 Feb 20. |
| نوع المنشور: | Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. |
| اللغة: | English |
| بيانات الدورية: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: London : Nature Publishing Group, copyright 2011- |
| مواضيع طبية MeSH: | Antimicrobial Stewardship* , Anti-Infective Agents*, Animals ; Swine ; Anti-Bacterial Agents/pharmacology ; Anti-Bacterial Agents/therapeutic use ; Farms ; Drug Resistance, Bacterial ; Bacteria ; Escherichia coli |
| مستخلص: | Antimicrobial resistance (AMR) is one of the major challenges of the century and should be addressed with a One Health approach. This study aimed to develop a tool that can provide a better understanding of AMR patterns and improve management practices in swine production systems to reduce its spread between farms. We generated similarity networks based on the phenotypic AMR pattern for each farm with information on important bacterial pathogens for swine farming based on the Euclidean distance. We included seven pathogens: Actinobacillus suis, Bordetella bronchiseptica, Escherichia coli, Glaesserella parasuis, Pasteurella multocida, Salmonella spp., and Streptococcus suis; and up to seventeen antibiotics from ten classes. A threshold criterion was developed to reduce the density of the networks and generate communities based on their AMR profiles. A total of 479 farms were included in the study although not all bacteria information was available on each farm. We observed significant differences in the morphology, number of nodes and characteristics of pathogen networks, as well as in the number of communities and susceptibility profiles of the pathogens to different antimicrobial drugs. The methodology presented here could be a useful tool to improve health management, biosecurity measures and prioritize interventions to reduce AMR spread in swine farming. (© 2023. The Author(s).) |
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| المشرفين على المادة: | 0 (Anti-Bacterial Agents) 0 (Anti-Infective Agents) |
| تواريخ الأحداث: | Date Created: 20230222 Date Completed: 20230223 Latest Revision: 20230411 |
| رمز التحديث: | 20230412 |
| مُعرف محوري في PubMed: | PMC9941107 |
| DOI: | 10.1038/s41598-023-29980-4 |
| PMID: | 36804990 |
| قاعدة البيانات: | MEDLINE |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 2045-2322 |
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| DOI: | 10.1038/s41598-023-29980-4 |