Dataset Information

Effects of industrial effluents on the quality of water in Namanve stream, Kampala Industrial and Business Park, Uganda.

ABSTRACT:

Objective

Kampala Industrial and Business Park (KIBP) is one of the premier and the most successful Ugandan industrial complexes that impact the inner Murchison bay of Lake Victoria. The current study aimed at evaluating the effect of industrial effluents on the physicochemical and microbiological quality of water taken from four different sites along Namanve stream in KIBP, Wakiso district, Uganda.

Results

All the water quality parameters were below WHO maximum permissible limits except turbidity, electrical conductivity and Escherichia coli count. Mean values of the monitored water quality parameters increased from the point of effluent discharge downstream of Namanve stream.

SUBMITTER: Angiro C

PROVIDER: S-EPMC7164339 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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Publications

Effects of industrial effluents on the quality of water in Namanve stream, Kampala Industrial and Business Park, Uganda.

Angiro Christopher C Abila Patrick P'Odyek PP Omara Timothy T

BMC research notes 20200416 1

<h4>Objective</h4>Kampala Industrial and Business Park (KIBP) is one of the premier and the most successful Ugandan industrial complexes that impact the inner Murchison bay of Lake Victoria. The current study aimed at evaluating the effect of industrial effluents on the physicochemical and microbiological quality of water taken from four different sites along Namanve stream in KIBP, Wakiso district, Uganda.<h4>Results</h4>All the water quality parameters were below WHO maximum permissible limits ...[more]

PMID: 32299487

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Project description:BackgroundImproved Water, Sanitation and Hygiene (WASH) in Healthcare facilities (HCFs) is of significant public health importance. It is associated with a reduction in the transmission of healthcare acquired infections (HAIs), increased trust and uptake of healthcare services, cost saving from infections averted, increased efficiency and improved staff morale. Despite these benefits, there is limited evidence on availability of WASH services in HCFs in the Greater Kampala Metropolitan Area (GKMA). This study assessed the availability and status of WASH services within HCFs in the GKMA in order to inform policy and WASH programming.MethodsA cross-sectional study was conducted in 60 HCFs. Availability of WASH services in the study HCFs was assessed using a validated WASH Conditions (WASHCon) tool comprising of structured interviews, HCF observations and microbial water quality analysis. Data were analysed using Stata 14 software and R software.ResultsOverall, 84.5% (49/58) and 12.1% (7/58) of HCFs had limited and basic WASH service respectively. About 48.3% (28/58) had limited water service, 84.5% (49/58) had limited sanitation service, 50.0% (29/58) had limited environmental cleanliness service, 56.9% (33/58) had limited hand hygiene service, and 51.7% (30/58) had limited waste management service. About 94.4% of public HCFs had limited WASH service compared to only 68.2% of private not for profit facilities. More health centre IIIs, 92.5% and health centre IVs (85.7%) had limited WASH service compared to hospitals (54.5%).ConclusionsOur findings indicate that provision of water, sanitation, hand hygiene, environmental cleanliness, and health care waste management services within HCFs is largely hindered by structural and performance limitations. In spite of these limitations, it is evident that environmental cleanliness and treatment of infectious waste can be attained with better oversight and dedicated personnel. Attaining universal WASH coverage in HCFs will require deliberate and strategic investments across the different domains.

Dataset Information

Effects of industrial effluents on the quality of water in Namanve stream, Kampala Industrial and Business Park, Uganda.

Objective

Results

Publications

Effects of industrial effluents on the quality of water in Namanve stream, Kampala Industrial and Business Park, Uganda.

Similar Datasets

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