YALAJU, OMAMULI

ANTIBIOTICS RESISTANCE PATTERN OF Escherichia coli AND Salmonella species ISOLATED FROM FRESH MEAT SOLD IN SOME MARKETS IN BENIN METROPOLIS.

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Abstract
Antibiotics resistance is an emerging problem worldwide which can develop as a result of antibiotics misuse by humans or overuse in animal feeding and treatment. This study was aimed at investigating the prevalence of Escherichia coli and Salmonella spp. and study the antibiotic resistance pattern of isolates. a total of 40 samples were collected from four different markets namely; Okha, Santana, Oba and Ekiosa markets in Benin City and were analysed using standard microbiological methods for the investigation. Results from the investigation showed that E. coli and Salmonella spp were present in almost all of the samples. The Total Aerobic Count showed that Santana market (5.97±0.53 cfu/g) had the highest average count whereas the lowest average count was observed in Ekiosa market
(4.29±0.49cfu/g). The total E. coli count on Eosin-Methylene Blue Agar showed that the highest E. coli count was observed in samples taken from Ekiosa market (1.93±0.38 cfu/g), whereas, the lowest was observed in samples collected from Oba market (1.69±0.40 cfu/g). The Total Salmonella count on Salmonella-Shigella Agar showed that Oba market (2.502±0.32 cfu/g) had the highest count while Ekiosa market (1.073±0.22 cfu/g) had the lowest count. Based on the number of samples collected from each market the prevalence rate shows that E. coli was isolated from 25% of the samples collected while Salmonella was isolated from 45% of the samples collected. The antibiotics resistance pattern showed that all E. coli isolates were resistant to cefixime, augumentin, nitrofurantion and cefuroxime, while all Salmonella isolates were resistant to cefixime, augumentin, ceftazidime and cefuroxime. Monitoring of antimicrobial resistance in E. coli and Salmonella spp. isolates is valuable for epidemiological uses and for monitoring the increase of antimicrobial resistance among different microbial species.
Supervisor(s)
co-supervisor

ANTIBIOTICS RESISTANCE PATTERN OF Escherichia coli AND Salmonella species ISOLATED FROM FRESH MEAT SOLD IN SOME MARKETS IN BENIN METROPOLIS.

Author(s)
Year of Publication
Publication Type
Abstract
Antibiotics resistance is an emerging problem worldwide which can develop as a result of antibiotics misuse by humans or overuse in animal feeding and treatment. This study was aimed at investigating the prevalence of Escherichia coli and Salmonella spp. and study the antibiotic resistance pattern of isolates. a total of 40 samples were collected from four different markets namely; Okha, Santana, Oba and Ekiosa markets in Benin City and were analysed using standard microbiological methods for the investigation. Results from the investigation showed that E. coli and Salmonella spp were present in almost all of the samples. The Total Aerobic Count showed that Santana market (5.97±0.53 cfu/g) had the highest average count whereas the lowest average count was observed in Ekiosa market (4.29±0.49cfu/g). The total E. coli count on Eosin-Methylene Blue Agar showed that the highest E. coli count was observed in samples taken from Ekiosa market (1.93±0.38 cfu/g), whereas, the lowest was observed in samples collected from Oba market (1.69±0.40 cfu/g). The Total Salmonella count on Salmonella-Shigella Agar showed that Oba market (2.502±0.32 cfu/g) had the highest count while Ekiosa market (1.073±0.22 cfu/g) had the lowest count. Based on the number of samples collected from each market the prevalence rate shows that E. coli was isolated from 25% of the samples collected while Salmonella was isolated from 45% of the samples collected. The antibiotics resistance pattern showed that all E. coli isolates were resistant to cefixime, augumentin, nitrofurantion and cefuroxime, while all Salmonella isolates were resistant to cefixime, augumentin, ceftazidime and cefuroxime. Monitoring of antimicrobial resistance in E. coli and Salmonella spp. isolates is valuable for epidemiological uses and for monitoring the increase of antimicrobial resistance among different microbial species.
Supervisor(s)
co-supervisor