Antimicrobial usage and associated residues and resistance emergence in smallholder beef cattle production systems in Nigeria: A One Health challenge
Livestock intensification has facilitated antimicrobial use (AMU) with consequent antimicrobial resistance (AMR) development. We assessed AMU in beef farms, pathways for residues and resistance dissemination to humans, risk status, residues identification, and drivers for antimicrobial residues and...
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description | Livestock intensification has facilitated antimicrobial use (AMU) with consequent antimicrobial resistance (AMR) development. We assessed AMU in beef farms, pathways for residues and resistance dissemination to humans, risk status, residues identification, and drivers for antimicrobial residues and resistance emergence in beef cattle production systems. A cross-sectional survey was conducted in randomly selected beef farms of Northern Nigeria, between 2018 and 2019. Traffic Light model and Disc Diffusion Test were used to assess risk status and determined residues, respectively. Data was analyzed using descriptive statistics and logistic regression models at 95% confidence level. About 92% (n = 608) farmers participated. The majority of farmers managing intensive (78.9%) and semi-intensive (76.6%) farms did not follow antimicrobial dosage instructions. Also, 72.4% and 83.9% of the farmers on intensive and semi-intensive systems, respectively, did not observed withdrawal periods after AMU. Furthermore, 71.5% farmers in intensive and 53.2% in semi-intensive farms used antimicrobials as growth promoters. Antimicrobials frequently used include tetracyclines, sulfonamides and penicillin. Antimicrobial residues and resistance dissemination pathways from beef herds were: consumption of contaminated meat with residues (p = 0.007); contacts with contaminated cattle and fomites (p |
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We assessed AMU in beef farms, pathways for residues and resistance dissemination to humans, risk status, residues identification, and drivers for antimicrobial residues and resistance emergence in beef cattle production systems. A cross-sectional survey was conducted in randomly selected beef farms of Northern Nigeria, between 2018 and 2019. Traffic Light model and Disc Diffusion Test were used to assess risk status and determined residues, respectively. Data was analyzed using descriptive statistics and logistic regression models at 95% confidence level. About 92% (n = 608) farmers participated. The majority of farmers managing intensive (78.9%) and semi-intensive (76.6%) farms did not follow antimicrobial dosage instructions. Also, 72.4% and 83.9% of the farmers on intensive and semi-intensive systems, respectively, did not observed withdrawal periods after AMU. Furthermore, 71.5% farmers in intensive and 53.2% in semi-intensive farms used antimicrobials as growth promoters. Antimicrobials frequently used include tetracyclines, sulfonamides and penicillin. Antimicrobial residues and resistance dissemination pathways from beef herds were: consumption of contaminated meat with residues (p = 0.007); contacts with contaminated cattle and fomites (p < 0.001); and contaminated manure and aerosols in farm environment (p = 0.003). Significant drivers of residues and resistance emergence were antimicrobial misuse and overuse (OR = 2.72; 95% CI:1.93–3.83), non-enforcement of laws (OR = 2.98; 95% CI:2.11–4.21), poor education and expertise (OR = 1.52; 95% CI:1.09–2.12), and husbandry management system (OR = 10.24; 95% CI:6.75–15.54). The majority of intensive (63.6%) and semi-intensive (57.63%) farm systems belonged to Class 3 (Red risk) status. Antimicrobial residues were detected in 48.4% intensively and 34.4% semi-intensively managed farms. The study revealed poor practices of AMU in beef cattle production. Many factors were found to influenced antimicrobial residues and resistance occurrence and dissemination. A ‘One Health’ approach mitigation with adequate sanitation, hygiene, and good biosecurity measures will assure food safety, public and environmental health.</description><identifier>ISSN: 0165-7380</identifier><identifier>EISSN: 1573-7446</identifier><identifier>DOI: 10.1007/s11259-022-09944-1</identifier><identifier>PMID: 35641718</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Agriculture ; Animals ; Anti-Bacterial Agents ; Anti-Infective Agents - therapeutic use ; Antimicrobial agents ; Antimicrobial resistance ; Beef ; Beef cattle ; Biomedical and Life Sciences ; Cattle ; Cross-Sectional Studies ; Farmers ; Farms ; Fomites ; Food contamination ; Humans ; Hygiene ; Life Sciences ; Livestock ; Nigeria ; Original Article ; Penicillin ; Regression analysis ; Sanitation ; Statistical analysis ; Sulfonamides ; Tetracyclines ; Veterinary Medicine/Veterinary Science ; Zoology</subject><ispartof>Veterinary research communications, 2023, Vol.47 (1), p.233-245</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2022</rights><rights>2022. The Author(s), under exclusive licence to Springer Nature B.V.</rights><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2022.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c326t-ae5e07eef093b4dbde1beb98d0e6e157c55f4a883006264498d05cd30087e0093</cites><orcidid>0000-0001-8041-2598</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11259-022-09944-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11259-022-09944-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35641718$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Alhaji, Nma Bida</creatorcontrib><creatorcontrib>Odetokun, Ismail Ayoade</creatorcontrib><creatorcontrib>Adamu, Andrew Musa</creatorcontrib><creatorcontrib>Hassan, Abubakar</creatorcontrib><creatorcontrib>Lawan, Mohammed Kabiru</creatorcontrib><creatorcontrib>Fasina, Folorunso Oludayo</creatorcontrib><title>Antimicrobial usage and associated residues and resistance emergence in smallholder beef cattle production systems in Nigeria: A One Health challenge</title><title>Veterinary research communications</title><addtitle>Vet Res Commun</addtitle><addtitle>Vet Res Commun</addtitle><description>Livestock intensification has facilitated antimicrobial use (AMU) with consequent antimicrobial resistance (AMR) development. We assessed AMU in beef farms, pathways for residues and resistance dissemination to humans, risk status, residues identification, and drivers for antimicrobial residues and resistance emergence in beef cattle production systems. A cross-sectional survey was conducted in randomly selected beef farms of Northern Nigeria, between 2018 and 2019. Traffic Light model and Disc Diffusion Test were used to assess risk status and determined residues, respectively. Data was analyzed using descriptive statistics and logistic regression models at 95% confidence level. About 92% (n = 608) farmers participated. The majority of farmers managing intensive (78.9%) and semi-intensive (76.6%) farms did not follow antimicrobial dosage instructions. Also, 72.4% and 83.9% of the farmers on intensive and semi-intensive systems, respectively, did not observed withdrawal periods after AMU. Furthermore, 71.5% farmers in intensive and 53.2% in semi-intensive farms used antimicrobials as growth promoters. Antimicrobials frequently used include tetracyclines, sulfonamides and penicillin. Antimicrobial residues and resistance dissemination pathways from beef herds were: consumption of contaminated meat with residues (p = 0.007); contacts with contaminated cattle and fomites (p < 0.001); and contaminated manure and aerosols in farm environment (p = 0.003). Significant drivers of residues and resistance emergence were antimicrobial misuse and overuse (OR = 2.72; 95% CI:1.93–3.83), non-enforcement of laws (OR = 2.98; 95% CI:2.11–4.21), poor education and expertise (OR = 1.52; 95% CI:1.09–2.12), and husbandry management system (OR = 10.24; 95% CI:6.75–15.54). The majority of intensive (63.6%) and semi-intensive (57.63%) farm systems belonged to Class 3 (Red risk) status. Antimicrobial residues were detected in 48.4% intensively and 34.4% semi-intensively managed farms. The study revealed poor practices of AMU in beef cattle production. Many factors were found to influenced antimicrobial residues and resistance occurrence and dissemination. A ‘One Health’ approach mitigation with adequate sanitation, hygiene, and good biosecurity measures will assure food safety, public and environmental health.</description><subject>Agriculture</subject><subject>Animals</subject><subject>Anti-Bacterial Agents</subject><subject>Anti-Infective Agents - therapeutic use</subject><subject>Antimicrobial agents</subject><subject>Antimicrobial resistance</subject><subject>Beef</subject><subject>Beef cattle</subject><subject>Biomedical and Life Sciences</subject><subject>Cattle</subject><subject>Cross-Sectional Studies</subject><subject>Farmers</subject><subject>Farms</subject><subject>Fomites</subject><subject>Food contamination</subject><subject>Humans</subject><subject>Hygiene</subject><subject>Life Sciences</subject><subject>Livestock</subject><subject>Nigeria</subject><subject>Original Article</subject><subject>Penicillin</subject><subject>Regression analysis</subject><subject>Sanitation</subject><subject>Statistical analysis</subject><subject>Sulfonamides</subject><subject>Tetracyclines</subject><subject>Veterinary Medicine/Veterinary Science</subject><subject>Zoology</subject><issn>0165-7380</issn><issn>1573-7446</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9Uctu2zAQJIoUteP2B3ooCOSsdCk-JPVmBGlTIKgvyZmgyLVNQ4-EpA75kPxvKdtJbz2Ry52d4c4Q8pXBNQOovkfGStkUUJYFNI0QBftAlkxWvKiEUBdkCUzJouI1LMhljAcAaGrgn8iCSyVYxeoleV0PyffehrH1pqNTNDukZnDUxDhabxI6GjB6N2E8vs9FTGawSLHHsMP55gcae9N1-7FzGGiLuKXWpNQhfQqjm2zyY4a8xIR9nNF__A6DNz_omm4GpHdourSndp85cNjhZ_Jxa7qIX87nijz-vH24uSvuN79-36zvC8tLlQqDEqHKYtDwVrjWIWuxbWoHqDAbYaXcClPXHECVSoi5I63LZV1hNoOvyNWJN__yOW-Y9GGcwpAldVmpumESuMqo8oTKLsUYcKufgu9NeNEM9JyEPiWhcxL6mIRmeejbmXpqe3TvI2_WZwA_AWJu5Z3DP-3_0P4FiHWWUQ</recordid><startdate>2023</startdate><enddate>2023</enddate><creator>Alhaji, Nma Bida</creator><creator>Odetokun, Ismail Ayoade</creator><creator>Adamu, Andrew Musa</creator><creator>Hassan, Abubakar</creator><creator>Lawan, Mohammed Kabiru</creator><creator>Fasina, Folorunso Oludayo</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0001-8041-2598</orcidid></search><sort><creationdate>2023</creationdate><title>Antimicrobial usage and associated residues and resistance emergence in smallholder beef cattle production systems in Nigeria: A One Health challenge</title><author>Alhaji, Nma Bida ; 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We assessed AMU in beef farms, pathways for residues and resistance dissemination to humans, risk status, residues identification, and drivers for antimicrobial residues and resistance emergence in beef cattle production systems. A cross-sectional survey was conducted in randomly selected beef farms of Northern Nigeria, between 2018 and 2019. Traffic Light model and Disc Diffusion Test were used to assess risk status and determined residues, respectively. Data was analyzed using descriptive statistics and logistic regression models at 95% confidence level. About 92% (n = 608) farmers participated. The majority of farmers managing intensive (78.9%) and semi-intensive (76.6%) farms did not follow antimicrobial dosage instructions. Also, 72.4% and 83.9% of the farmers on intensive and semi-intensive systems, respectively, did not observed withdrawal periods after AMU. Furthermore, 71.5% farmers in intensive and 53.2% in semi-intensive farms used antimicrobials as growth promoters. Antimicrobials frequently used include tetracyclines, sulfonamides and penicillin. Antimicrobial residues and resistance dissemination pathways from beef herds were: consumption of contaminated meat with residues (p = 0.007); contacts with contaminated cattle and fomites (p < 0.001); and contaminated manure and aerosols in farm environment (p = 0.003). Significant drivers of residues and resistance emergence were antimicrobial misuse and overuse (OR = 2.72; 95% CI:1.93–3.83), non-enforcement of laws (OR = 2.98; 95% CI:2.11–4.21), poor education and expertise (OR = 1.52; 95% CI:1.09–2.12), and husbandry management system (OR = 10.24; 95% CI:6.75–15.54). The majority of intensive (63.6%) and semi-intensive (57.63%) farm systems belonged to Class 3 (Red risk) status. Antimicrobial residues were detected in 48.4% intensively and 34.4% semi-intensively managed farms. The study revealed poor practices of AMU in beef cattle production. Many factors were found to influenced antimicrobial residues and resistance occurrence and dissemination. A ‘One Health’ approach mitigation with adequate sanitation, hygiene, and good biosecurity measures will assure food safety, public and environmental health.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>35641718</pmid><doi>10.1007/s11259-022-09944-1</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0001-8041-2598</orcidid></addata></record> |
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subjects | Agriculture Animals Anti-Bacterial Agents Anti-Infective Agents - therapeutic use Antimicrobial agents Antimicrobial resistance Beef Beef cattle Biomedical and Life Sciences Cattle Cross-Sectional Studies Farmers Farms Fomites Food contamination Humans Hygiene Life Sciences Livestock Nigeria Original Article Penicillin Regression analysis Sanitation Statistical analysis Sulfonamides Tetracyclines Veterinary Medicine/Veterinary Science Zoology |
title | Antimicrobial usage and associated residues and resistance emergence in smallholder beef cattle production systems in Nigeria: A One Health challenge |
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