Bayesian modeling of <i>Escherichia coli</i> contamination in household drinking water in Bangladesh: evidence from the Multiple Indicator Cluster Survey 2019

Levels of fecal contamination in household water in Bangladesh were alarming. Our findings underscore the need for targeted policy interventions in specific population segments to address household fecal contamination, highlighting the link between sociodemographic and environmental factors with E. coli levels in drinking water.

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Publication Details

Journal
International Health
Published
2025-11-04
DOI
https://doi.org/10.1093/inthealth/ihaf138
Primary Topic
Child Nutrition and Water Access
Type
article
Field-Weighted Citation Impact
0.00

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article

Bayesian modeling of Escherichia coli contamination in household drinking water in Bangladesh: evidence from the Multiple Indicator Cluster Survey 2019

Azizur Rahman, Diego B. Nóbrega, Iqramul Haq, Delower Hossain et al.
International Health
Child Nutrition and Water Access
article

Bayesian modeling of Escherichia coli contamination in household drinking water in Bangladesh: evidence from the Multiple Indicator Cluster Survey 2019

Azizur Rahman, Diego B. Nóbrega, Iqramul Haq, Delower Hossain, Mst. Morsheda Akter
article en

Abstract

Levels of fecal contamination in household water in Bangladesh were alarming. Our findings underscore the need for targeted policy interventions in specific population segments to address household fecal contamination, highlighting the link between sociodemographic and environmental factors with E. coli levels in drinking water.

International Health
Manitoba Health (CA), University of Calgary (CA), University of Milan (IT), Mawlana Bhashani Science and Technology University (BD), Jahangirnagar University (BD), University of Manitoba (CA), Sher-e-Bangla Agricultural University (BD)
UNICEF, Canada Research Chairs
Openalex Percentile: Top 54%
Child Nutrition and Water Access
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