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Antimicrobial resistance in food animals and the environment in Nigeria

dc.contributor.authorOloso, Nurudeen Olalekan
dc.contributor.authorFagbo, Shamsudeen
dc.contributor.authorGarbati, Musa
dc.contributor.authorOlonitola, Steve O.
dc.contributor.authorAwosanya, Emmanuel Jolaoluwa
dc.contributor.authorAworh, Mabel Kamweli
dc.contributor.authorAdamu, Helen
dc.contributor.authorOdetokun, Ismail Ayoade
dc.contributor.authorFasina, Folorunso Oludayo
dc.date.accessioned2018-09-04T07:35:05Z
dc.date.available2018-09-04T07:35:05Z
dc.date.issued2018-06-17
dc.descriptionSupplementary Materials Figure S1: Flow chart of the methodological strategy (PRISMA 2009 Flow Diagram), Figure S2: Nigeria geopolitical zonal spread of the AMRS reports, Figure S3: Geopolitical zonal spread of the Antimicrobial Residue reports, Figure S4a: Level of resistance within generation of antimicrobials tested, Figure S4b: Proportional (%) pattern of resistance levels within generation of antimicrobials tested, Figure S5a: Frequency of Antimicrobial Resistance levels of classes of antibiotics, Figure S5b: Antimicrobial resistance patterns within classes along generation of antibiotics, Figure S6: Antimicrobial resistance patterns of β-lactam derivatives antibiotics, Figure S7: Antimicrobial resistance patterns of Quinolones, Figure S8: Antimicrobial resistance patterns of Aminoglycosides, Figure S9: Antimicrobial resistance patterns of Macrolide, Phenicol, and Tetracycline, Figure S10: Antimicrobial resistance patterns of Sulfonamides derivatives, Figure S11: Frequency of antimicrobial resistance levels of other classes of antibiotics, Figure S12: Antimicrobial resistance patterns of other classes of antibiotics, Figure S13: Pattern of antimicrobial resistance of Escherichia coli, Figure S14: Pattern of antimicrobial resistance of Salmonella, Figure S15: Pattern of antimicrobial resistance of Staphylococcus, Figure S16: Pattern of antimicrobial resistance of Pseudomonas, Figure S17: Pattern of antimicrobial resistance of Klebsiella, Figure S18: Pattern of antimicrobial resistance of other bacteria, Table excel S1: Raw data AMRS, S2: Comprehensive AMRS data, S3: Categorized AMRS data analytical.en_ZA
dc.description.abstractAntimicrobial resistance (AMR) has emerged as a global health threat, which has elicited a high-level political declaration at the United Nations General Assembly, 2016. In response, member countries agreed to pay greater attention to the surveillance and implementation of antimicrobial stewardship. TheNigeria Centre forDisease Control called for a reviewofAMR inNigeria using a “OneHealth approach”. As anecdotal evidence suggests that food animal health and production rely heavily on antimicrobials, it becomes imperative to understand AMR trends in food animals and the environment. We reviewed previous studies to curate data and evaluate the contributions of food animals and the environment (2000–2016) to the AMR burden in Nigeria using a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flowchart focused on three areas: Antimicrobial resistance, residues, and antiseptics studies. Only one of the 48 antimicrobial studies did not reportmultidrug resistance. At least 18 bacterial spp. were found to be resistant to various locally available antimicrobials. All 16 residue studies reported high levels of drug residues either in the form of prevalence or concentration above the recommended international limit. Fourteen different “resistotypes”were found in some commonly used antiseptics. High levels of residues and AMRwere found in food animals destined for the human food chain. High levels of residues and antimicrobials discharged into environments sustain the AMR pool. These had evolved into potential public health challenges that need attention. These findings constitute public health threats forNigeria’s teeming population and require attention.en_ZA
dc.description.departmentProduction Animal Studiesen_ZA
dc.description.librarianam2018en_ZA
dc.description.sponsorshipThe corresponding author acknowledged the support of University of Pretoria for the Doctoral Research Support Scholarship for 2016 and 2017 funding years for the partial funding.en_ZA
dc.description.urihttp://www.mdpi.com/journal/ijerphen_ZA
dc.identifier.citationOloso, N.O., Fagbo, S., Garbati, M. et al. 2018, 'Antimicrobial resistance in food animals and the environment in Nigeria', International Journal of Environmental Research and Public Health, vol. 15, art. no. 1284, pp. 1-23.en_ZA
dc.identifier.issn1660-4601 (online)
dc.identifier.other10.3390/ijerph15061284
dc.identifier.urihttp://hdl.handle.net/2263/66444
dc.language.isoenen_ZA
dc.publisherMDPI Publishingen_ZA
dc.rights© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).en_ZA
dc.subjectAntibiotics residueen_ZA
dc.subjectFood animalsen_ZA
dc.subjectEnvironmenten_ZA
dc.subjectBacteriaen_ZA
dc.subjectNigeriaen_ZA
dc.subjectEscherichia colien_ZA
dc.subjectSalmonellaen_ZA
dc.subjectOyo State, Nigeriaen_ZA
dc.subjectChicken eggsen_ZA
dc.subjectPoultry meaten_ZA
dc.subjectPublic healthen_ZA
dc.subjectAntibiotic resistanceen_ZA
dc.subjectListeria monocytogenesen_ZA
dc.subjectTetracycline resistanceen_ZA
dc.subjectChloramphenicol residuesen_ZA
dc.subjectAntimicrobial resistance (AMR)en_ZA
dc.subject.otherVeterinary science articles SDG-02
dc.subject.otherSDG-02: Zero hunger
dc.titleAntimicrobial resistance in food animals and the environment in Nigeriaen_ZA
dc.typeArticleen_ZA

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