1.Water supply for households in 3 districts of Quang Binh province and Thua Thien Hue province
Journal of Medical and Pharmaceutical Information 2005;0(12):19-21
A cross-sectional study of the supply and use of water was carried out on 8180 households in 3 districts of Quang Binh province and Thua Thien Hue province. The results showed that: two water sources with high rate of usage were deep well (59.3%) and drilled well (19.2%). The rate of households with adequate water supply was 81.5%, among which deep wells were at highest rate of 48.4%, and tap water were at lowest rate of 1.8%. 58.3% of households were found with water containers including: built tanks (49.3%), buckets (24.7%), earthenware vessels (25.3%). 84.6% of water containers were built far from breeding facilities. 95.4% of wells had high wall, 84.8% with surrounding yards but only 8.8% with covers. It is necessary to improve the quality of living water in public by supplying better water sources
Water Supply Family Characteristics
2.An Epidemiologic Investigation of Typhoid Fever Outbreak in Pusan, 1996.
Hai Rim SHIN ; Byung Seong SUH ; Jue Bok SONG ; Duk Hee LEE ; Meang Bok LEE ; Jin Hyung PARK ; Man Su KIM ; Young Hack SHIN ; Sang Won LEE ; Hee Choul OHRR
Korean Journal of Epidemiology 1997;19(2):122-130
An epidemiologic investigation was carried out to identify the source of infection of typhoid fever outbreak, which was occurred in Nam-Gu, Pusan city from April 20 to June 28, 1996. The distribution of 83 reported cases (55 confirmed cases and 28 suspected cases) by sex and age group showed that this epidemic would be occurred by the exposure to a common source with low toxic pathogen because 55.4% of cases were under 20 years old and most of the adults cases were female. The epidemic curve showed a unimodel curve with a peak on about 15 May and tailed down to 23 June, suggesting that the exposure was constant. These results supposed that the contamination of a public water supply would be the source of infection. The analysis of reported cases and population survey conducted to household members and community contacts living in the epidemic area, led the conclusion that the source of infection was tap water supplied through the Dae Youn pumping station, based on the following findings: (1) There were singificant differences of incidence rate among regions (Tong) even though in the same Dong and the spot map of incident cases distributed in accord with the water supply by Dae-Youn pumping station. (2) Among reported cases, 21 cases, including 17 confirmed cases, stated they had used only tap water. (3) The analysis of tap water from the house which had seven typhoid cases, revealed the contamination of E coli and the dilution of residual chlorinated concentration. (4) The outbreak of typhoid fever was stopped after the replacement of The worn-out pipe line of tap water supply to the new one.
Adult
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Busan*
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Escherichia coli
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Family Characteristics
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Female
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Humans
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Incidence
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Typhoid Fever*
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Water
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Water Supply
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Young Adult
3.Epidemiologic investigation to identify the cause of an infant methemoglobinemia.
young Yeul KIM ; Bo Youl CHOI ; Hung Bae PARK ; Min Young KIM ; In Hak YEO
Korean Journal of Preventive Medicine 1993;26(2):192-201
Epidemiologic investigation was conducted on January, 1993 in Seoul to identify the cause of an infant methemoglobinemia. Field investigation of the area of outbreak, survey of household and family members, analysis of ground water, and blood tests of involved family members were performed. Following results were obtained. On analyzing the quality of the ground water on patients's household high levels of nitrate was found indicating contamination of water as the cause of a methemoglobinemia outbreak. On analyzing the quality of the ground waters on seven other places within the neighborhood five were contaminated by nitrate in concentration that exceeded the permissible limit implying presence nearby source of contamination. Sources of contamination were thought to be originating from human waste in conventional bathroom facilities, chicken manure used in nearby orchards and plant fields or fertilizers. But the results of water analysis with presence of bacteria or E.coli, concentration of potassium, phosphate and the past history of diarrhea among family members, chicken manure suggested the most possible source of contamination. To evaluate the health status of members in the neighborhood past history was reviewed revealing no prior existence of patient with cyanosis and 65 people in the neighborhood had normal levels of methemoglobin concentration in their blood. Conclusively, the ground water on patient's household was contaminated with nitrate and despite provision of adequate water supply, family members of the patient along with distrust in the water supply system had used ground water as their source of drinking water resulting of methemoglobinemia. Many suburban area of Seoul and country side thought to be having similar problems concerning contaminated ground water supply and dormant outbreak of patients as a result of the drinking of the contaminated water. Epidemiologic investigation and water analysis of ground waters are advised.
Bacteria
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Chickens
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Cyanosis
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Diarrhea
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Drinking
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Drinking Water
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Family Characteristics
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Fertilizers
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Groundwater
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Hematologic Tests
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Humans
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Infant*
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Manure
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Methemoglobin
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Methemoglobinemia*
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Plants
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Potassium
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Residence Characteristics
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Seoul
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Water
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Water Supply
4.Knowledge and practices of households on safe water chain maintenance in a slum community in Kampala City, Uganda.
Charles SSEMUGABO ; Solomon Tsebeni WAFULA ; Rawlance NDEJJO ; Frederick OPORIA ; Jimmy OSURET ; David MUSOKE ; Abdullah Ali HALAGE
Environmental Health and Preventive Medicine 2019;24(1):45-45
BACKGROUND:
More than half of the disease burden in Uganda can be prevented through improving water, sanitation, and hygiene (WASH). In slum communities, water supply is insufficient but also highly contaminated; therefore, ensuring that the safe water chain is maintained by households is paramount to preventing water-related diseases. This study aimed at assessing knowledge and practices of households on safe water chain maintenance in slum communities in Kampala City, Uganda.
METHODS:
This was a community-based cross-sectional study carried out among 395 households in slum communities in Kampala, Uganda. Data were collected using a semi-structured questionnaire. Prevalence ratios (PRs) and their 95% confidence intervals were used as a measure of association between safe water chain management and associated knowledge and practice factors. The PRs were obtained using a multivariable modified Poisson regression with logarithm as the link function, with robust standard errors.
RESULTS:
Majority (76.7%, 303/395) of the households collected their water from a piped water system and paid for the water (72.9%, 288/395). Almost all (97.2%, 384/395) of the participants said that they knew the dangers associated with drinking unsafe water, boiled their drinking water (95.4%, 377/395), and used storage containers that minimize contamination (97.0%, 383/395). However, only (32.4%, 128/395) of the households satisfactorily maintained the safe water chain. Female- (adjusted PR = 1.82, 95% CI (1.19-2.78)) and student-led households (adjusted PR = 1.58, 95% CI (1.03-2.41)) and those whose heads had attained post-primary education (adjusted PR = 1.48, 95% CI (1.02-2.17)) were more likely to satisfactorily maintain the safe water chain. This was similar among members who thought most contamination occurs during storage (adjusted PR = 1.47, 95% CI (1.10-1.97)).
CONCLUSION
Only a third of the households maintained the safe water chain satisfactory. Female-led, student-led, and post-primary educated-led household and household that thought most contamination occurs during storage were more likely to maintain the safe water chain. There is a need to improve the level of awareness about the importance of the safe water chain among slum dwellers.
Adult
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Cross-Sectional Studies
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Drinking Water
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analysis
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Family Characteristics
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Female
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Health Knowledge, Attitudes, Practice
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Humans
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Hygiene
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Male
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Middle Aged
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Poverty Areas
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Sanitation
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statistics & numerical data
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Uganda
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Urban Population
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statistics & numerical data
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Water Supply
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statistics & numerical data
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Young Adult