Kabantiyok, Dennis, Gyang, Moses, Agada, Godwin, Ogundeji, Alice, Nyam, Daniel, Uhiara, Uchechi, Abiayi, Elmina, Dashe, Yakubu, Ngulukun, Sati, Muhammad, Maryam, Adegboye, Oyelola A., and Emeto, Theophilus I. (2023) Analysis of Retrospective Laboratory Data on the Burden of Bacterial Pathogens Isolated at the National Veterinary Research Institute Nigeria, 2018–2021. Veterinary Sciences, 10 (8). 505.

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Abstract

Farm animals harbour bacterial pathogens, which are often viewed as important indicators of animal health and determinants of food safety. To better understand the prevalence and inform treatment, we audited laboratory data at the Bacteriology Laboratory of the NVRI from 2018–2021. Antibiotics were classified into seven basic classes: quinolones, tetracyclines, beta-lactams, aminoglycosides, macrolides, nitrofuran, and cephalosporins. Trends were analysed using a generalised linear model with a log link function for the Poisson distribution, comparing proportions between years with an offset to account for the variability in the total number of organisms per year. Avian (73.18%) samples were higher than any other sample. The major isolates identified were Escherichia. coli, Salmonella spp., Klebsiella spp., Staphylococcus spp., Proteus spp., and Pseudomonas spp. We found that antimicrobial resistance to baseline antibiotics increased over the years. Of particular concern was the increasing resistance of Klebsiella spp. to cephalosporins, an important second-generation antibiotic. This finding underscores the importance of farm animals as reservoirs of pathogens harbouring antimicrobial resistance. Effective biosecurity, surveillance, and frugal use of antibiotics in farms are needed because the health of humans and animals is intricately connected.

Item ID:	79731
Item Type:	Article (Research - C1)
ISSN:	2306-7381
Copyright Information:	© 2023 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 (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Date Deposited:	06 Sep 2023 04:19
FoR Codes:	31 BIOLOGICAL SCIENCES > 3107 Microbiology > 310702 Infectious agents @ 40% 49 MATHEMATICAL SCIENCES > 4905 Statistics > 490502 Biostatistics @ 40% 42 HEALTH SCIENCES > 4202 Epidemiology > 420202 Disease surveillance @ 20%
SEO Codes:	10 ANIMAL PRODUCTION AND ANIMAL PRIMARY PRODUCTS > 1004 Livestock raising > 100411 Poultry @ 40% 20 HEALTH > 2001 Clinical health > 200199 Clinical health not elsewhere classified @ 30% 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280101 Expanding knowledge in the agricultural, food and veterinary sciences @ 30%
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