A Survey of Salmonella Species and their Antibiotic Susceptibility Profile from Selected Wells in Katsina State, Nigeria

Author:

Fatima Mukhtar ,UmmuSalma Aliyu Saulawa ,Mukhtar, G.L.

Abstract

The World Health Organisation (WHO) has estimated that 1.1 billion people globally lack basic access to drinking water resources, while 2.4 billion have inadequate sanitation facilities which accounts for many water related acute and chronic diseases. The study was designed to search for the presence of Salmonella spp from wells in Dan-musa, Mani and Danja Local Government Areas of Katsina State. The distances of wells to pit laterines were measured at collection points. The organisms were detected and isolated by cultural methods using selective media and were subjected to series of biochemical tests. They were sero-grouped using seroquick grouping reagents. Antibiotic susceptibility testing was performed by disk diffusion method. All the distances measured were below the set standard of 30 meters by WHO and the Nigerian Environmental Protection Agency. Dan-musa Local Government Area had the highest mean coliform counts of 20.7cfu/ml, while Danja had least counts of 13.8cfu/ml. Out of the 300 well water samples collected, a total of 11 Salmonella strains were isolated belonging to three(3) different sero-groups (Group D, A and B). Significant statistical association (p<0.05) was found between the occurrence of these bacterial isolates and distance of wells to pit laterines. All the isolates were resistant to multiple classes of antibiotics, the highest resistance was to ceftazidime and cefuroxime, 100% each. However, the isolates were also sensitive to flouroquinolones, chloramphenicol and cefoxitin. The presence of these pathogenic bacteria from the well water samples analysed connote a serious health risk to consumers due to threat of disease and antibiotic resistance. The study accenuates the need to set standards for citing of wells away from pit latrines, provision of adequate potable water and improved sanitation.

Publisher

Umaru Musa YarAdua University Katsina NG

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3