CoChat
Sign Up
Cited by 33Antibiotic Resistance in BacteriaSalmonella and Campylobacter epidemiologyEscherichia coli research studies

Prevalence and Antimicrobial Resistance of Escherichia coli Isolated from Various Meat Types in the Tamale Metropolis of Ghana

Open access
Adzitey, Frederick, Assoah-Peprah, Prince, Teye, Gabriel A., Somboro, Anou M., Kumalo, Hezekiel M., Amoako, Daniel G.·2020·International Journal of Food Science
DOI 10.1155/2020/8877196PMC PMC7676974
Open this paper in CoChat — free accountOpen PDF

Abstract

Meats are important potential sources of foodborne pathogens including Escherichia coli. This study was conducted to determine the prevalence and antimicrobial resistance of Escherichia coli isolated from meats in the Tamale metropolis of Ghana. Isolation of Escherichia coli was done using the procedure according to the USA-FDA Bacteriological Analytical Manual. Antibiotic resistance patterns in the Escherichia coli isolates were determined by the Kirby-Bauer disk diffusion method against 8 antibiotics. The overall prevalence of Escherichia coli in the meat samples was 84.00% (189/225). Mutton (88.89%), guinea fowl (88.89%), beef (86.67%), local chicken (80.00%), and chevon (75.56%) were contaminated by Escherichia coli. The average coliform count was 4.22 cfu/cm2 and was highest in guinea fowl (4.94 log cfu/cm2) and lowest in local chicken (3.23 log cfu/cm2). The Escherichia coli isolates were highly resistant to erythromycin (85.00%), tetracycline (73.33%), and ampicillin (71.67%). The multiple antibiotic resistance (MAR) index ranged from 0.13 to 1. The Escherichia coli isolates exhibited 23 antimicrobial resistance patterns with resistant pattern TeAmpE (tetracycline-ampicillin-erythromycin) being the most common. Multidrug resistance was 68.33% (41/60) among the Escherichia coli isolates. The results showed that Escherichia coli was commonly present in the various meat types and exhibited multidrug resistances, necessitating efficient antibiotic stewardship guidelines to streamline their use in the production industry.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1155/2020/8877196

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 28

  1. [1]Ekli R. Adzitey F. Agbolosu A. A. Farmers’ knowledge in antibiotic usage, antibiotic residues, and susceptibility of Salmonella enterica in beef samples from the Wa Municipality, Ghana Bulletin of Animal Health and Production in Africa 2020 68 89 101
  2. [3]Speedy W. A. Animal source foods to improve micronutrient nutrition in developing countries Global Production and Consumption of Animal Source Foods 2003 133 4048S 4053S 14672310
  3. [4]Rao V. A. Thulasi G. Ruban S. W. Meat quality characteristics of non-descript buffalos as affected by age and sex World Applied Science Journal 2009 6 1058 1065
  4. [5]Komba E. V. G. Mkupasi E. M. A. O. Mbyuzi S. M. Luwumbra D. Busagwe Z. Mzula A. Sanitary practices and occurrence of zoonotic conditions in cattle at slaughter in Morogoro Municipality, Tanzania: implications for public health Tanzania Journal of Health Research 2012 14 2 131 138 10.4314/thrb.v14i2.6 2-s2.0-84930477896 26591734 · DOI
  5. [8]European Food Safety Authority The European Union summary report on trends and sources of zoonoses, zoonotic agents and food-borne outbreaks in 2017 European Food Safety Authority Journal 2018 16, article 5500 PMC7009540 32625785
  6. [9]Adzitey F. Prevalence of Escherichia coli and Salmonella spp. in beef samples sold at Tamale Metropolis, Ghana International Journal of Meat Science 2015 5 8 13 10.3923/ijmeat.2015.8.13 · DOI
  7. [10]Adzitey F. Antibiotic resistance of Escherichia coli isolated from beef and its related samples in Techiman Municipality of Ghana Asian Journal of Animal Sciences 2015 9 5 233 240 10.3923/ajas.2015.233.240 2-s2.0-84936771243 · DOI
  8. [11]Adzitey F. Teye G. A. Anachinaba I. A. Microbial quality of fresh and smoked guinea fowl meat sold in the Bolgatanga Municipality, Ghana Asian Journal of Poultry Science 2015 9 3 165 171 10.3923/ajpsaj.2015.165.171 2-s2.0-84982685879 · DOI
  9. [12]Anachinaba I. A. Adzitey F. Teye G. A. Assessment of the microbial quality of locally produced meat (beef and pork) in Bolgatanga Municipal of Ghana Internet Journal of Food Safety 2015 17 1 5
  10. [13]Rasmussen M. M. Opintan J. A. Frimodt-Møller N. Styrishave B. Beta-lactamase producing Escherichia coli isolates in imported and locally produced chicken meat from Ghana PLoS One 2015 10 10, article e0139706 10.1371/journal.pone.0139706 2-s2.0-84948822908 26461270 PMC4603670 · DOI
  11. [15]Anning A. S. Dugbatey A. A. Kwakye-Nuako G. Asare K. K. Antibiotic susceptibility pattern of Enterobacteriaceae isolated from raw meat and Ghanaian coin currencies at Cape Coast metropolis, Ghana: the public health implication The Open Microbiology Journal 2019 13 1 138 145 10.2174/1874285801913010138 2-s2.0-85070217075 · DOI
  12. [19]Adzitey F. Ekli R. Abu A. Prevalence and antibiotic susceptibility of Staphylococcus aureus isolated from raw and grilled beef in Nyankpala community in the northern region of Ghana Cogent Food and Agriculture 2019 5, article 1671115 10.1080/23311932.2019.1671115 · DOI
  13. [20]Bauer A. W. Kirby W. M. M. Sherris J. C. Turck M. Antibiotic susceptibility testing by a standardized single disk method American Journal of Clinical Pathology 1966 45 493 496 10.1093/ajcp/45.4_ts.493 5325707 · DOI · Paper page
  14. [21]Clinical and Laboratory Standards Institute Performance standards for antimicrobial susceptibility testing: 27th edition informational supplement M100-S27 2017 Wayne, PA, USA Clinical and Laboratory Standards Institute
  15. [23]Krumperman P. H. Multiple antibiotic resistance indexing of Escherichia coli to identify high-risk sources of fecal contamination of foods Applied and Environmental Microbiology 1983 46 1 165 170 10.1128/AEM.46.1.165-170.1983 6351743 PMC239283 · DOI
  16. [24]Sulleyman K. W. Adzitey F. Boateng E. F. Knowledge and practices of meat safety by meat sellers in the Accra metropolis of Ghana International Journal of Veterinary Science 2018 7 167 171
  17. [25]Adzitey F. The prevention and control of bacterial foodborne hazards in meats and meat products-an overview Journal of Meat Science and Technology 2016 4 1 10
  18. [26]Kim J. Yim D. Assessment of the microbial level for livestock products in retail meat shops implementing HACCP system Korean Journal for Food Science of Animal Resources 2016 36 5 594 600 10.5851/kosfa.2016.36.5.594 2-s2.0-85009909855 27857534 PMC5112421 · DOI
  19. [27]Altalhi A. D. Gherbawy Y. A. Hassan S. A. Antibiotic resistance inEscherichia coliisolated from retail raw chicken meat in Taif, Saudi Arabia Foodborne Pathogens and Disease 2010 7 3 281 285 10.1089/fpd.2009.0365 2-s2.0-77649333916 19911929 · DOI
  20. [28]Saud B. Paudel G. Khichaju S. Multidrug-resistant bacteria from raw meat of buffalo and chicken, Nepal Veterinary Medicine International 2019 2019 7 7960268 10.1155/2019/7960268 2-s2.0-85066079409 PMC6521380 31186828 · DOI
  21. [29]Zhao S. Blickenstaff K. Bodeis-Jones S. Gaines S. A. Tong E. McDermott P. F. Comparison of the prevalences and antimicrobial resistances of Escherichia coli isolates from different retail meats in the United States, 2002 to 2008 Applied and Environmental Microbiology 2012 78 6 1701 1707 10.1128/AEM.07522-11 2-s2.0-84857889659 22247155 PMC3298142 · DOI
  22. [30]Antwi-Agyei P. Maalekuu B. K. Determination of microbial contamination in meat and fish products sold in the Kumasi metropolis (a case study of Kumasi central market and the Bantama market) Merit Research Journal of Agricultural Science and Soil Sciences 2014 2 38 46
  23. [31]Maharjan M. Joshi V. Joshi D. D. Manandhar P. Prevalence ofSalmonellaspecies in various raw meat samples of a local market in Kathmandu Annals of the New York Academy of Sciences 2006 1081 1 249 256 10.1196/annals.1373.031 2-s2.0-33845719548 17135520 · DOI
  24. [32]Yulistiani R. Praseptiangga D. Supyani S. Raharjo D. Shirakawa T. Prevalence of antibiotic-resistance enterobacteriaceae strains isolated from chicken meat at traditional markets in Surabaya, Indonesia IOP Conference Series: Materials Science and Engineering 2017 193, article 012007 10.1088/1757-899x/193/1/012007 2-s2.0-85020048074 · DOI
  25. [33]Martínez-Vázquez A. V. Rivera-Sánchez G. Lira-Méndez K. Reyes-López M. A. Bocanegra-García V. Prevalence, antimicrobial resistance and virulence genes of Escherichia coli isolated from retail meat in Tamaulipas, Mexico Journal of Global Antimicrobial Resistance 2018 14 266 272 10.1016/j.jgar.2018.02.016 2-s2.0-85051645918 29501529 · DOI
  26. [34]Kathleen M. M. Samuel L. Felecia C. Antibiotic resistance of diverse bacteria from aquaculture in Borneo International Journal of Microbiology 2016 2016 9 10.1155/2016/2164761 2-s2.0-84991583760 27746817 PMC5055980 · DOI
  27. [35]Amoako D. G. Somboro A. M. Abia A. L. K. Antibiotic Resistance in Staphylococcus aureus from poultry and poultry products in umgungundlovu district, south africa, using the “farm to fork” approach Microbial Drug Resistance 2020 26 4 402 411 10.1089/mdr.2019.0201 31647362 · DOI
  28. [36]Kaneene B. J. Miller R. Sayah R. Johnson Y. J. Gilliland D. Gardiner J. C. Considerations when using discriminant function analysis of antimicrobial resistance profiles to identify sources of fecal contamination of surface water in Michigan Applied Environmental Microbialology 2007 73 9 2878 2890 10.1128/AEM.02376-06 2-s2.0-34248198766 17337537 PMC1892867 · DOI

Cited by

Sorted by citations

Authors
Adzitey, F., Assoah-Peprah, P., Teye, G. A., Somboro, A. M., Kumalo, H. M., & Amoako, D. G.
Affiliations
  • University for Development Studies (GH)
  • University of KwaZulu-Natal (ZA)
Corresponding author
  • Adzitey, Frederick
  • Amoako, Daniel G.
ORCID
Venue
International Journal of Food Science
Publisher
Wiley
Published
2020-11-12
Volume
2020
Pages
1-7
ISSN
  • 2314-5765 (ISSN-L)
  • 2356-7015
DOI
10.1155/2020/8877196
PMC
PMC7676974
OpenAlex
W3105303969
Cited by
33
References
1
Citations by year
2026: 5 · 2025: 5 · 2024: 7 · 2023: 4 · 2022: 10 · 2021: 2
FWCI
1.34
Type
journal article
Language
en
Open access
Licence
Locations
  • International Journal of Food Science (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Inyuvesi Yakwazulu-Natali
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Medicine › Antibiotic Resistance in Bacteria
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Salmonella and Campylobacter epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Endocrinology › Escherichia coli research studies
Keywords
Escherichia coli, meat contamination, antimicrobial resistance, multidrug resistance, foodborne pathogens, coliform count, sheep meat, guinea fowl, beef, local chicken breeds, goat meat, antibiotic stewardship, Tamale Metropolis

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review