Contamination of Automated Teller Machines Surfaces with Multi-drug Resistance Gram-negative Bacteria in Dar es Salaam, Tanzania

Regan Zenas Shayo, Nsiande Lema, Mecky I. N. Matee
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Abstract

Background: In Tanzania, little is known about the proportion of Multi-drug resistance (MDR) Gram-negative bacteria contamination on Automated Teller Machine (ATMs) surfaces. The study aimed to determine the proportion of MDR Gram-negative bacteria contamination on ATMs surfaces, antimicrobial resistance patterns as well as associated factors. Methodology: A cross-sectional study was conducted between January and March -2021 in Dar es Salaam, involving 298 ATMs. Cultures were performed on Mac-Conkey agar while antimicrobial susceptibility was done using the Kirby Bauer disc diffusion method with Klebsiella pneumoniae ATCC 700603 and Escherichia coli ATCC 25922 used as controls. Data analysis was done using STATA version 15.1. Chi-square and Modified Poisson regression was used to assess factors associated with MDR contamination. Data was presented as prevalence ratio (PR) and 95% Confidence Interval. A p-value of <.05 was considered statistically significant. Results: More than half (55.4%) of ATMs in Dar es Salaam are contaminated with Gram negative bacteria, mostly by Klebsiella pneumoniae 18.5% (31/168). The highest level of resistance was observed against ampicillin (68.9%). About one-third (34.5%) of the isolates were MDR. About 35.7% were Extended-Spectrum Beta-Lactamases (ESBL) producers while 19.6% were quinolone/ fluoroquinolones-resistance. Risk factors for contamination of ATMs included highly populated location such as; Ubungo (PR adjusted = 3.62, 95%CI = 1.58-8.30, P=.002), Kigamboni (PR adjusted = 2.78, 95%CI = 1.20-6.42, P=.017), and Temeke (PR adjusted = 2.75, 95%CI = 1.04-3.72, P=.023), and less frequent cleaned ATMs (PR adjusted = 1.98, 95%CI = 1.04-3.73, P=.04). Conclusions: More than half of ATMs in Dar es Salaam are contaminated with Gram-negative and one-third of them with MDR bacteria, especially those located in highly populated areas and those that are less frequently cleaned. This calls for interventional measures regarding public awareness of ATMs as potential vehicles for the transmission of infectious agents.
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坦桑尼亚达累斯萨拉姆市自动柜员机表面多重耐药革兰氏阴性菌污染
背景:在坦桑尼亚,人们对自动柜员机(atm)表面的多重耐药(MDR)革兰氏阴性菌污染比例知之甚少。本研究旨在确定自动柜员机表面耐多药革兰氏阴性菌污染比例、耐药模式及其相关因素。方法:一项横断面研究于2021年1月至3月在达累斯萨拉姆进行,涉及298台自动取款机。在Mac-Conkey琼脂上进行培养,以肺炎克雷伯菌ATCC 700603和大肠杆菌ATCC 25922为对照,采用Kirby Bauer圆盘扩散法进行药敏试验。数据分析使用STATA 15.1版本。卡方回归和修正泊松回归用于评估与MDR污染相关的因素。数据以患病率(PR)和95%置信区间表示。p值为<0.05认为有统计学意义。结果:达累斯萨拉姆市超过半数(55.4%)的atm机感染革兰氏阴性菌,以肺炎克雷伯菌为主,占18.5% (31/168);耐药性最高的是氨苄西林(68.9%)。约三分之一(34.5%)的分离株为耐多药。35.7%为广谱β -内酰胺酶(ESBL)产生菌,19.6%为喹诺酮类/氟喹诺酮类耐药菌。自动柜员机受污染的风险因素包括人口密集的地点,例如;uunigo(调整后的PR = 3.62, 95%CI = 1.58 ~ 8.30, P= 0.002)、Kigamboni(调整后的PR = 2.78, 95%CI = 1.20 ~ 6.42, P= 0.017)、Temeke(调整后的PR = 2.75, 95%CI = 1.04 ~ 3.72, P= 0.023)以及清洗频率较低的atm(调整后的PR = 1.98, 95%CI = 1.04 ~ 3.73, P= 0.04)。结论:达累斯萨拉姆半数以上的atm机被革兰氏阴性菌污染,三分之一的atm机被耐多药细菌污染,特别是那些位于人口密集地区和清洁频率较低的atm机。这就要求采取干预措施,使公众认识到自动取款机是传播传染病的潜在媒介。
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