scholarly journals A Bayesian Belief Network model to link sanitary inspection data to drinking water quality in a medium resource setting in rural Indonesia

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
D. Daniel ◽  
Widya Prihesti Iswarani ◽  
Saket Pande ◽  
Luuk Rietveld

Abstract Assessing water quality and identifying the potential source of contamination, by Sanitary inspections (SI), are essential to improve household drinking water quality. However, no study link the water quality at a point of use (POU), household level or point of collection (POC), and associated SI data in a medium resource setting using a Bayesian Belief Network (BBN) model. We collected water samples and applied an adapted SI at 328 POU and 265 related POC from a rural area in East Sumba, Indonesia. Fecal contamination was detected in 24.4 and 17.7% of 1 ml POC and POU samples, respectively. The BBN model showed that the effect of holistic—combined interventions to improve the water quality were larger compared to individual intervention. The water quality at the POU was strongly related to the water quality at the POC and the effect of household water treatment to improve the water quality was more prominent in the context of better sanitation and hygiene conditions. In addition, it was concluded that the inclusion of extra “external” variable (fullness level of water at storage), besides the standard SI variables, could improve the model’s performance in predicting the water quality at POU. Finally, the BBN approach proved to be able to illustrate the interdependencies between variables and to simulate the effect of the individual and combination of variables on the water quality.

Author(s):  
D. Daniel ◽  
Arnt Diener ◽  
Jack van de Vossenberg ◽  
Madan Bhatta ◽  
Sara J. Marks

Accurate assessments of drinking water quality, household hygenic practices, and the mindset of the consumers are critical for developing effective water intervention strategies. This paper presents a microbial quality assessment of 512 samples from household water storage containers and 167 samples from points of collection (POC) in remote rural communities in the hilly area of western Nepal. We found that 81% of the stored drinking water samples (mean log10 of all samples = 1.16 colony-forming units (CFU)/100 mL, standard deviation (SD) = 0.84) and 68% of the POC samples (mean log10 of all samples = 0.57 CFU/100 mL, SD = 0.86) had detectable E. coli. The quality of stored water was significantly correlated with the quality at the POC, with the majority (63%) of paired samples showing a deterioration in quality post-collection. Locally applied household water treatment (HWT) methods did not effectively improve microbial water quality. Among all household sanitary inspection questions, only the presence of livestock near the water storage container was significantly correlated with its microbial contamination. Households’ perceptions of their drinking water quality were mostly influenced by the water’s visual appearance, and these perceptions in general motivated their use of HWT. Improving water quality within the distribution network and promoting safer water handling practices are proposed to reduce the health risk due to consumption of contaminated water in this setting.


2015 ◽  
Vol 56 (2) ◽  
pp. 213-223 ◽  
Author(s):  
Milos Rajkovic ◽  
Mirjana Stojanovic ◽  
Sladjana Milojkovic

2017 ◽  
Vol 5 (1) ◽  
pp. 57-64 ◽  
Author(s):  
Heshmatollah Nourmoradi ◽  
Neda Karami ◽  
Soraya Karami ◽  
Sajad Mazloomi ◽  
◽  
...  

2016 ◽  
Vol 15 (2) ◽  
pp. 435-442 ◽  
Author(s):  
Wendong Wang ◽  
Shan Song ◽  
Zixia Qiao ◽  
Qin Yang ◽  
Mengmeng Wang ◽  
...  

Author(s):  
Dora Cardona Rivas ◽  
Militza Yulain Cardona Guzmán ◽  
Olga Lucía Ocampo López

Objective: To characterize the burden of intestinal infectious diseases attributable to drinking-water quality in 27 municipalities in the central region of Colombia. Materials and methods: A time-trend ecological study. The drinking-water quality of the National Institute of Health and the Institute of Hydrology, Meteorology and Environmental Studies was identified. The disease burden was calculated based on the mortality registered in the National Department of Statistics and the records of morbidity attended by the Social Protection Integrated Information System. The etiological agents reported in morbidity records and the observation of environmental conditions in the municipalities of the study were included. The disease burden was determined according to the methodology recommended by the World Health Organization (WHO).


Author(s):  
Yu.A. Novikova ◽  
I.O. Myasnikov ◽  
A.A. Kovshov ◽  
N.A. Tikhonova ◽  
N.S. Bashketova

Summary. Introduction: Drinking water is one of the most important environmental factors sustaining life and determining human health. The goal of the Russian Federal Clean Water Project is to improve drinking water quality through upgrading of water treatment and supply systems using advanced technologies, including those developed by the military-industrial complex. The most informative and reliable sources of information for assessing drinking water quality are the results of systematic laboratory testing obtained within the framework of socio-hygienic monitoring (SGM) and production control carried out by water supply organizations. The objective of our study was to formulate approaches to organizing quality monitoring programs for centralized cold water supply systems. Materials and methods: We reviewed programs and results of drinking water quality laboratory tests performed by Rospotrebnadzor bodies and institutions within the framework of SGM in 2017–2018. Results: We established that drinking water quality monitoring in the constituent entities of the Russian Federation differs significantly in the number of monitoring points (566 in the Krasnoyarsk Krai vs 10 in Sevastopol) and measured indicators, especially sanitary and chemical ones (53 inorganic and organic substances in the Kemerovo Region vs one indicator in the Amur Region). Discussion: For a more complete and objective assessment of drinking water quality in centralized cold water supply systems, monitoring points should be organized at all stages of water supply with account for the coverage of the maximum number of people supplied with water from a particular network. Thus, the number of points in the distribution network should depend, inter alia, on the size of population served. In urban settlements with up to 10,000 inhabitants, for example, at least 4 points should be organized while in the cities with more than 3,000,000 inhabitants at least 80 points are necessary. We developed minimum mandatory lists of indicators and approaches to selecting priority indices to be monitored at all stages of drinking water supply.


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