Evidence map›Paper›PMID 38546016›Full record

ArticleVeterinary medicine and science2024

Prevalence and antimicrobial resistance profiles of mastitis causing bacteria isolated from dairy goats in Mukurweini Sub-County, Nyeri County, Kenya.

Sarah Kabui, Josephine Kimani, Caroline Ngugi, John Kagira

Open access · goldAbstract read
In one paragraph

Article in Veterinary medicine and science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
6.2field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Chloride content in goat milk as a diagnostic marker for subclinical mastitis.Journal of advanced veterinary and animal research · 2025
    Article
  9. Article
  10. Isolation, identification, and susceptibility testing ofFrontiers in veterinary science · 2025
    Article
  11. Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Sarah KabuiDepartment of Biochemistry, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.ORCID 0009-0009-1216-5316
Josephine KimaniDepartment of Biochemistry, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.ORCID 0000-0002-8292-2417
Caroline NgugiDepartment of Medical Microbiology, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.ORCID 0000-0002-0998-8217
John KagiraDepartment of Animal Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.ORCID 0000-0001-5513-2113
Jomo Kenyatta University of Agriculture and Technology · KE

Funding

Japan International Cooperation AgencyPan African University
6 · The paper itself

Abstract

backgroundRuminant mastitis continues to be a cause of economic losses in the dairy industry and remains a major public health hazard globally.

objectivesThis cross-sectional study was carried out in Mukurweini Sub-County of Nyeri County, Kenya, to investigate the prevalence of bacteria causing mastitis, risk factors associated with goat mastitis and the antibiotic resistance profiles of bacteria isolated from the goat milk.

methodsFarm level data on risk factors for mastitis was obtained from 56 farmers using a semi structured questionnaire. A total of 189 goat milk samples were collected. The goat's udder was observed for signs of clinical mastitis and the California Mastitis Test (CMT) used to test the milk for sub-clinical mastitis. All samples were then cultured for morphological identification of bacteria and strain typing by Matrix Assisted Laser Desorption/Ionization (MALDI)-Time of Flight (ToF) technique. Antimicrobial susceptibility of the isolated Staphylococcus aureus, coagulase-negative Staphylococcus (CoNS), Escherichia coli, Klebsiella oxytoca, Pseudomonas spp., Enterobacter spp., Proteus vulgaris and Escherichia vulneris to eight commonly used antibiotics was done by the disc diffusion method and validated by determining the presence of antibiotic resistance genes (mecA and blaTEM) using polymerase chain reaction method.

resultsThe prevalence of clinical mastitis was 1.1% (2/189) while that of sub-clinical mastitis was 84.7% (160/189). Higher (p < 0.05) prevalence of mastitis was observed in goats whose houses were cleaned fortnightly and in cases where farmers used same towel to dry different does' udders during the milking process. Thirteen different bacterial species were isolated from the milk samples and identified by MALDI-ToF, and these included S. aureus (22.0%), CoNS (20.3%), E. coli (18.1%), Pseudomonas spp. (14.3%), Enterobacter spp. (10.4%), K. oxytoca (6.0%), E. vulneris (1.7%), P. vulgaris (1.7%), Raoutella ornithinolytica (1.7%), Stenotrophomonas maltophilia (1.1%), Pantoea agglomerans (1.1%), Serratia marcescens (1.1%) and Cedeceas spp. (0.6%). One hundred pathogenic bacterial isolates were randomly selected and tested for antibiotic sensitivity to eight antibiotics out of which S. aureus were 97.5% resistant to Oxacillin and 100% sensitive to Ciprofloxacin. The CoNSs were 100% resistant to Oxacillin and 100% sensitive to Ciprofloxacin. E. coli were 93.9% resistant to Oxacillin, 69.7% sensitive to Ciprofloxacin and 87.9% sensitive to both Amoxicillin/Clavulanic acid and Meropenem. The antimicrobial resistant genes detected in S. aureus and E. coli were mecA [66.7%, 0%], and bla

conclusionIn conclusion, the study showed that most of the does were affected by subclinical mastitis with the main causative bacteria being Staphylococci spp. and coliforms. Farmers need to be trained on improved control of mastitis by adoption of good milking practices and use of CMT kit for early detection of mastitis. Occurrence of multidrug resistance by key mastitis causing pathogens was shown to be prevalent and therefore there is need for development of intervention strategies.

Indexed as

Anti-Infective AgentsGoat DiseasesMastitisAnimalsAnti-Bacterial AgentsBacteriaCiprofloxacinCross-Sectional StudiesDrug Resistance, BacterialEscherichia coliFemaleGoatsKenyaOxacillinPrevalenceStaphylococcusAnti-Bacterial AgentsAnti-Infective AgentsCiprofloxacinOxacillinantimicrobial resistancecoagulase‐negative staphylococcusmastitisMukurweinirisk factors

Identifiers

PMID38546016
PMCPMC10976424
OpenAlexW4393277828

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.