The prevalence and antimicrobial resistance profiles of bacterial isolates from meat and meat products in Ethiopia: a systematic review and ... View Full Text


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Article Info

DATE

2019-12

AUTHORS

Andarge Zelalem, Mekonnen Sisay, Jessie L. Vipham, Kebede Abegaz, Ameha Kebede, Yitagele Terefe

ABSTRACT

Foodborne diseases associated with the consumption of meat and its products are of public health significance worldwide. The study is, therefore, aimed to estimate the prevalence and the antimicrobial resistance profile of some bacterial pathogens isolated from meats and its products in Ethiopia. Literature search was conducted from major electronic databases and indexing services including PubMed/MEDLINE, Google Scholar, Science Direct and WorldCat. Both published and unpublished studies addressing the prevalence and antimicrobial resistance profiles of some bacterial pathogens in meat and its products in Ethiopia were included for the study. Data were extracted with structured format prepared in Microsoft Excel and exported to STATA 15.0 software for the analyses. Pooled estimation of outcome measures was performed with DerSimonian-Laird random-effects model at 95% confidence level. Degree of heterogeneity of studies was presented with I2 statistics. Publication bias was conducted with comprehensive meta-analysis version 3.0 software and presented with funnel plots supplemented by Begg’s and Egger’s tests. The study protocol is registered on PROSPERO with reference number ID: CRD42018106361. A total of 27 original studies with 7828 meat samples were included for systematic review and meta-analysis. The pooled prevalence of Salmonella spp., E. coli O157:H7, Staphylococcus spp. and L. monocytogenes was 9, 5, 21 and 4%, respectively. Based on animal species, the prevalence of Salmonella in goat, mutton, beef, pork, chicken, and fish meat was 18, 6, 10, 11, 14 and 2%, respectively. The prevalence of E. coli O157:H7 in beef, mutton, goat and other animal meats was 6, 6, 3 and 21%, respectively. The prevalence of Staphylococcus spp. in beef and other animal meats was 21 and 22%, respectively. Based on the sample source, Salmonella prevalence in abattoir, butcher and market was 6, 36, and 11%, respectively. The E. coli O157:H7 prevalence in abattoir, butcher and market was 5, 6 and 8%, respectively. The bacterial isolates showed different antimicrobial resistance profiles against selected drugs. About 25% of the Salmonella spp. was resistant to ampicillin. Besides, 9% of Salmonella spp. and 2% of E. coli O157:H7 were found to be resistant to ceftriaxone. The pooled estimates showed that 10% of E. coli O157:H7 isolates were resistant to ciprofloxacin. Moreover, Salmonella spp. (6%), L. monocytogenes (5%) and E. coli O157:H7 (2%) were resistant to gentamicin. This study revealed that pooled prevalence of bacterial pathogens is relatively high as compared to other countries and hence, there is a need to design intervention to ensure meat safety in the sector. More... »

PAGES

1

References to SciGraph publications

  • 2017-12. Detection and identification of antimicrobial-resistant Salmonella in raw beef at Wolaita Sodo municipal abattoir, Southern Ethiopia in JOURNAL OF HEALTH, POPULATION AND NUTRITION
  • 2012-03. Prevalence and antimicrobial resistance profiles of Salmonella enterica serovars isolated from slaughtered cattle in Bahir Dar, Ethiopia in TROPICAL ANIMAL HEALTH AND PRODUCTION
  • 2014-12. Escherichia coli O157:H7 in Raw Meat in Addis Ababa, Ethiopia: Prevalence at an Abattoir and Retailers and Antimicrobial Susceptibility in INTERNATIONAL JOURNAL OF FOOD CONTAMINATION
  • 2017-12. Prevalence and antimicrobial susceptibility of Escherichia coli O157 in beef at butcher shops and restaurants in central Ethiopia in BMC MICROBIOLOGY
  • 2009-02. Antimicrobial resistance pattern of Salmonella serotypes isolated from food items and personnel in Addis Ababa, Ethiopia in TROPICAL ANIMAL HEALTH AND PRODUCTION
  • 2018-12. Occurrence and antimicrobial susceptibility profile of Escherichia coli O157:H7 from food of animal origin in Bishoftu town, Central Ethiopia in INTERNATIONAL JOURNAL OF FOOD CONTAMINATION
  • 2017-12. Prevalence of Escherichia coli O157:H7 in beef cattle at slaughter and beef carcasses at retail shops in Ethiopia in BMC INFECTIOUS DISEASES
  • 2017-12. Occurrence of Escherichia coli O157:H7 in cattle feces and contamination of carcass and various contact surfaces in abattoir and butcher shops of Hawassa, Ethiopia in BMC MICROBIOLOGY
  • 2015-12. Prevalence and antimicrobial susceptibility patterns of Salmonella isolates in association with hygienic status from butcher shops in Gondar town, Ethiopia in ANTIMICROBIAL RESISTANCE & INFECTION CONTROL
  • 2015-12. Prevalence and antimicrobial susceptibility profile of listeria species from ready-to-eat foods of animal origin in Gondar Town, Ethiopia in BMC MICROBIOLOGY
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    http://scigraph.springernature.com/pub.10.1186/s40550-019-0071-z

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    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s40550-019-0071-z'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s40550-019-0071-z'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s40550-019-0071-z'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s40550-019-0071-z'


     

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