BACKGROUND: Improved water sources are not equally available in all geographical regions. Populations dependent on unsafe water sources are recommended to treat their water at point-of-use using adequate methods to reduce associated health problems. In Ethiopia, the spatial distribution of households using unimproved water sources have been incomplete or ignored in most of the studies. Moreover, evidence on the point-of-use water treatment practice of households dependent on such water sources is scarce. Therefore, the current study is intended to analyze the spatial distribution of unimproved water sources by wealth quintiles at country level and point-of-use treatment (POU) practices using nationally representative data. METHOD: The data of 2016 Ethiopian Demographic and Health Survey (EDHS) conducted on 16650 households from 643 clusters were used for the analysis. For spatial analysis, the raw and spatially smoothed coverage data was joined to the geographic coordinates based on EDHS cluster identification code. Global spatial autocorrelation was performed to analyze whether the pattern of unimproved water coverage is clustered, dispersed, or random across the study areas. Once a positive global autocorrelation was confirmed, a local spatial autocorrelation analysis was applied to detect local clusters. The POU water treatment is analyzed based on reported use of either boiling, chlorine (bleach), filtration, or solar disinfection (SODIS). RESULTS: There were 5005 households using unimproved water sources for drinking purposes. Spatial variation of unimproved water coverage was observed with high coverage observed at Amhara, Afar, Southern Nations Nationalities and People and Somalia regions. Disparity in unimproved water coverage between wealth quintiles was also observed. The reported point-of-use water treatment practice among these households is only 6.24%. The odds of POU water treatment among household heads with higher education status is 2.5 times higher (95% CI = 1.43-4.36) compared to those who did not attend education. CONCLUSION An apparent clustering trend with high unimproved water coverage was observed between regions and among wealth quintiles hence indicates priority areas for future resource allocation and the need for regional and national policies to address the issue. Promoting households to treat water prior to drinking is essential to reduce health problems.
Drinking Water/analysis* ; Ethiopia ; Socioeconomic Factors ; Spatial Analysis ; Water Purification/methods* ; Water Supply/statistics & numerical data*

BACKGROUND: Diarrheal disease attributable to water and sanitation can be prevented using point-of-use water treatment. In Ethiopia, a small number of households treat water at point-of-use with appropriate methods. However, evidence on factors associated with household use of these treatment methods is scarce. Therefore, this study is intended to explore the household use of appropriate point-of-use water treatment and associated factors in Ethiopia. METHODS: The data of 2005, 2011, and 2016 Ethiopian demographic and health surveys were used for analysis. Households reportedly treating water with bleach, boiling, filtration, and solar disinfection in each survey are considered as treating with appropriate treatment methods. Household water treatment with these treatment methods and factors associated was assessed using bivariate and multivariable regression. In addition, a region level difference in the treatment use was assessed by using multilevel modeling. RESULTS: The number of households that reported treating water with appropriate water treatment methods was 3.0%, 8.2%, and 6.5% respectively in 2005, 2011, and 2016. Household heads with higher education had 5.99 (95% CI = 3.48, 10.33), 3.61 (95% CI = 2.56, 5.07), and 3.43 (95% CI = 2.19, 6.37) times higher odds of using the treatment methods respectively in 2005, 2011, and 2016 compared to household heads who had no education. There was a significantly high number of households that used appropriate water treatment methods in 2011 (AOR = 2.78, 95% CI = 2.16, 3.57) and 2016 (AOR = 2.18, 95% CI = 1.64, 3.89) compared to 2005 data. In pooled data analysis, the reported use of the treatment methods is associated with household head education, residency, drinking water sources, and owning radio and television. From a multilevel modeling, within-region variation is higher than between-region variations in the use of treatment methods in each survey. CONCLUSIONS Below 10% of households reportedly treating water at point-of-use in each survey attributable to different factors. Designing intervention strategies for wide-scale use of treatment methods at the country level is fundamental.
Adolescent ; Adult ; Ethiopia ; Female ; Humans ; Male ; Middle Aged ; Multivariate Analysis ; Socioeconomic Factors ; Surveys and Questionnaires ; Water Purification ; methods ; standards ; statistics & numerical data ; Water Supply ; statistics & numerical data ; Young Adult

BACKGROUND: Bacterial contamination of drinking water is a major public health problem in rural areas of sub-Saharan Africa. Unimproved water sources are a major reservoir of Escherichia coli (E. coli) causing severe diarrhoea in humans. This study assessed E. coli counts in drinking water from different sources and their relationship with water source protection status and neighbourhood sanitation and hygiene practices in rural villages of Mohale Basin in Lesotho. METHODS: Thirty drinking water sources were purposively sampled and their water analysed for E. coli counts. The types of water sources, their protection status and neighbourhood sanitation and hygiene practices in their proximity were also assessed. E. coli counts in water samples were compared to water source protection status, neighbourhood sanitation, hygiene practices, livestock faeces and latrine proximity to water sources. RESULTS: E. coli counts were found in all water samples and ranged from less than 30 colony-forming units (cfu)/100 ml to 4800 cfu/100 ml in protected sources to 43,500,000 cfu/100 ml in unprotected sources. A significant association between E. coli counts in drinking water samples and lack of water source protection, high prevalence of open defecation (59%, n = 100), unhygienic practices, livestock faeces and latrine detections in proximity to water sources was found in the study (P < 0.05). CONCLUSION Water sources in studied villages were contaminated with faeces and posed a health risk to consumers of that water. Community-led sanitation and hygiene education and better water source protection are urgently needed.
Drinking Water ; microbiology ; Escherichia coli ; isolation & purification ; Feces ; microbiology ; Health Behavior ; Humans ; Hygiene ; Lesotho ; Rural Health ; Sanitation ; methods ; statistics & numerical data ; Water Microbiology ; Water Quality ; Water Supply ; statistics & numerical data

We aimed to assess the risks of
China ; Cryptosporidiosis/microbiology* ; Cryptosporidium/isolation & purification* ; Giardia/isolation & purification* ; Giardiasis/microbiology* ; Humans ; Risk Assessment ; Water Microbiology ; Water Supply/statistics & numerical data*

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 ; Cross-Sectional Studies ; Drinking Water ; analysis ; Family Characteristics ; Female ; Health Knowledge, Attitudes, Practice ; Humans ; Hygiene ; Male ; Middle Aged ; Poverty Areas ; Sanitation ; statistics & numerical data ; Uganda ; Urban Population ; statistics & numerical data ; Water Supply ; statistics & numerical data ; Young Adult

INTRODUCTIONThe aim of this study was to determine the problems encountered during investigations into causes of death in corpses found in wells, sewer systems and pits, and to seek solutions to the problems. In fact, wells, sewer systems and pits have some common characteristics which may cause the problems. They contain water, have a hypoxic/anoxic environment and prevent corpses from being recognised.

MATERIALS AND METHODSBased on the data obtained from the 1st Specialization Board of the Council of Forensic Medicine, affiliated with the Ministry of Justice, we retrospectively reviewed 69 corpses found in wells, sewer systems and pits between 1 January 1992 and 31 December 2002. Data on age, sex, crime scene and causes of death were obtained and evaluated using the SPSS 11.0 package programme.

RESULTSOf 69 cases, 69.1% were male and 33.4% were aged 0 to 10 years. Fifty-eight per cent and 13.1% of the cases were found in wells and sewer systems respectively. Forty-three (62.3%) cases were found in a place with water. However, 34.9% of them had not drowned. The most frequent cause of death was drowning (40.6%). The cause of death was unknown in 18.8% of the cases. 15.9% of the corpses were exhumed to determine the cause of death. Twenty-six cases (37.7%) had signs of putrefaction and the cause of death was not determined in 9 cases. Diatom was investigated in 42.0% of the cases (29 cases), but 17 cases did not have diatom.

CONCLUSIONIt is a complicated process to determine the causes of death in bodies recovered from wells, pits, water supplies and sewer systems, etc. Thorough forensic investigations are required because death may result from a wide variety of factors, and lesions on the corpses may undergo some changes quickly or can be covered in wells, pits and water supplies. A complete crime scene investigation, a thorough autopsy and histopathological, toxicological and biochemical examinations would prevent potential problems in determining the causes of death in bodies recovered from wells, sewer systems and pits. Almost one-third of the bodies recovered from wells, sewer systems and pits were aged 10 years or younger, which indicates a public health problem. Extra safety precautions will help to solve this problem.

Adolescent ; Adult ; Aged ; Autopsy ; Cause of Death ; Child ; Child, Preschool ; Diatoms ; growth & development ; Drowning ; mortality ; pathology ; Female ; Homicide ; statistics & numerical data ; Humans ; Infant ; Infant, Newborn ; Male ; Middle Aged ; Postmortem Changes ; Retrospective Studies ; Turkey ; epidemiology ; Water Supply ; Wounds and Injuries ; mortality ; pathology