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Spatial risk distribution and determinants of E. coli contamination in household drinking water: a case study of Bangladesh

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The Escherichia coli (E. coli) contamination in the household (HH) drinking water is often a public health concern. Very few studies explore the associated factors and spatial risk modeling together for E. coli contamination in Bangladesh, this research gap motivates to explore this fact further by utilizing Bangladesh Multiple Indicator Cluster Survey (MICS) 2012–13 data. A Bayesian spatial ordered logit model was used to examine the associated factors and spatial risks of the E. coli contamination. The results show that 62% of HH water samples were contaminated with E. coli. After controlling for different factors, a high level of E. coli contamination was observed among HHs who had access to non-improved water sources. Moreover, no significant rural-urban difference was observed. The spatial prediction of the high-risk contamination was prominent in districts like Dhaka and Bandarban. The study findings can provide insights into the planning of policy activities in Bangladesh.
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Keywords: Bayesian spatial model; E. coli contamination; spatial risk

Document Type: Research Article

Affiliations: 1: Centre for Research and Action in Public Health (CeRAPH), Health Research Institute (HRI), Faculty of Health, University of Canberra, Canberra, Australia 2: Data61, CSIRO, Canberra, Australia

Publication date: May 3, 2020

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