Murang'a University of Technology

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    6229 research outputs found

    Bacteria Contamination and Distribution in Patient Care Environment at Mbagathi Hospital Surgical and New-born Units

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    Background: Hospital environment can serve as an important reservoir and thus a critical element in the transmission of bacterial infections especially in critical care settings such as Surgical and new-born units. Contact with contaminated surfaces may lead to Hospital Acquired Infections (HAIs) among healthcare workers, visitors and patients. Further, HAIs may contribute to the spread of drug-resistant bacterial infections. This study sought to determine bacteriological characteristics and distribution in patient care environmental surfaces (Surgical and new-born units) at Mbagathi hospital Nairobi Kenya. Methods: A total of 700 samples were obtained from different surfaces: beds, bedside tables, sink taps handle, door handles, nursery incubators, paediatric weighing scale and new-born resuscitation machine by means of repeated screens over a period of three months. Microbiological isolation and identification were done by following standard laboratory methods established at Aga Khan University Hospital. Antibiotic susceptibility testing was carried out by using Vitek 2 system. Result: Five bacterial genera were isolated, S. Aureus was 3% (19/700), E. coli 0.9% (6/700), Acinetobacter species was 1.4% (10/700), Pseudomonas species 0.1% (1/700) and coagulase negative staphylococcus (CoNS)13.0% (88/700). Trimethoprim/Sulfamethoxazole and Benzylpenicillin were the most resistant antimicrobial agents while Oxacillin, Cefoxitin, Levofloxacin, Linezolid was most sensitive. Conclusion: All S. aureus were methicillin sensitive (MSSA). Patient beds surfaces were the most contaminated among the selected items while the nursery incubator was the least contaminated

    Effect Of Integrated Ticketing On Sustainable Mobility In The Matatu Saccos In Nairobi County, Kenya

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    Purpose: The purpose of this study was to establish the effect of integrated ticketing on sustainable mobility in the Matatu Saccos in Nairobi County, Kenya. Materials and Methods: The study was guided by Positivism philosophy while descriptive research design was adopted. The target population was 177 Sacco Managers and two representatives, one from MOT and other from MVOA respectively. The whole population of 179 respondents was used in the study hence; the study employed the census approach. The questionnaire was pilot tested on 18 respondents who were selected randomly. The study applied Cronbach's alpha and the results displayed a high level of internal consistency hence infers that the research tool used in the study was reliable. The data collection instrument was a semi-structured questionnaire, which were dropped and picked later. A semi-structured interview guide was also used. Data was analysed using descriptive and SPSS Version 24. Results: Correlation analysis indicates that there is a strong positive and significant relationship between integrated ticketing and sustainable mobility of Matatu Sacco in Nairobi County. (rho = 0.809, p value <0.05). Regression analysis also showed that in general, integrated ticketing is significant in explaining the variation in sustainable mobility of Matatu Sacco’s in Nairobi County, Kenya (β = 1.046, t = 15.872, p<0.05). Unique contribution to theory, practice and policy: The study recommends recommended that, the Ministry of Transport and the management of the Saccos should formulate substantial policies on how to handle ticketing where the government imposes control of fares. This ensures that there is functional guidance on charging the passengers, which would, in turn, improve customer satisfaction and improve company image

    BIT 2120: INSTALLATION AND CUSTOMISATION

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    SCS 057: INTERNET APPLICATION PROGRAMMING

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    SCS 204: COMPUTER HARDWARE, REPAIR AND MAINTAINCE

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    SCS 305: COMPILER CONSTRUCTION

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    ACH 202: ORGANIC CHEMISTRY II

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    ACH 204: INTRODUCTION TO CHEMICAL KINETICS

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    ACH 306: INTRODUCTION TO INSTRUMENTAL ANALYSIS I

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    APH 203: ELECTRICITY AND MAGNETISM II

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