13 research outputs found

    One Solution to the Arsenic Problem: A Return to Surface (Improved Dug) Wells

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    Arsenic contamination in drinking-water in Bangladesh is a major catastrophe, the consequences of which exceed most other man-made disasters. The national policy encourages the use of surface water as much as possible without encountering the problems of sanitation that led to the use of groundwater in the first place. This paper describes the success of the Dhaka Community Hospital (DCH) team and the procedure in implementing sanitary, arsenic-free, dugwells. The capital cost for running water is US$ 5–6 per person. Sixty-six sanitary dugwells were installed in phases between 2000 and 2004 in Pabna district of Bangladesh where there was a great need of safe water because, in some villages, 90% of tubewells were highly contaminated with arsenic. In total, 1,549 families now have access to safe arsenic-free dugwell water. Some of them have a water-pipe up to their kitchen. All of these were implemented with active participation of community members. They also pay for water-use and are themselves responsible for the maintenance and water quality. The DCH helped the community with installation and maintenance protocol and also with monitoring water quality. The bacteria levels are low but not always zero, and studies are in progress to reduce bacteria by chlorination

    Arsenic exposure and intestinal microbiota in children from Sirajdikhan, Bangladesh - Fig 4

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    <p>A) Comparison (displayed using Artemis Comparison Tool; doi <a href="https://doi.org/10.1093/bioinformatics/bti553" target="_blank">10.1093/bioinformatics/bti553</a>) of DNA sequences of <i>E</i>.<i>coli</i> strains in Bangladeshi children cohort. Gray bars represent the forward and reverse strands of DNA. The yellow lines between the sequences represent existence nucleotide similarity (blastn). Arsenic resistant operons are given green color. B) Comparison of DNA sequences of <i>E</i>.<i>coli</i> strains in Bangladeshi children and European cohort. Comparison is displayed for two <i>E</i>.<i>coli</i> strains in Bangladesh children (ST2747 and FHI98) and their most similar <i>E</i>.<i>coli</i> strain in European cohort (ATCC 25922). C) qPCR quantification of two arsenic resistance operon genes (ArsB, ArsC) found in Bangladeshi children <i>E</i>.<i>coli</i> strain ST2747. (* p value<0.05).</p

    Microbial taxonomic composition in high arsenic exposure group and low arsenic exposure group based on 16S rRNA V4 gene region sequencing.

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    <p>(A) Relative abundance of phyla for high arsenic exposure samples (n = 25, orange color) and low exposure samples (n = 25, blue color). The boxplot represent interquartile range with the black bar indicating the median relative abundance and error bars represent minimum and maximum values. Outliers are represented by solid circles. *P<0.02, Mann–Whitney U test. (B) Relative abundance of three lower taxonomic ranks of phylum <i>Proteobacteria</i> for high arsenic exposure and unexposed samples. * P<0.03, # P<0.1(C) Correlation between relative abundance of phylum <i>Proteobacteria</i> and water arsenic level in high arsenic exposure group. p-value is calculated for two-tailedSpearman correlation coefficient.</p

    Annotations of SEED functions associated with arsenic exposure.

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    <p>Frequency of SEED genes annotated under specific SEED level 2 function categories within 332 arsenic related SEED functions (black color) and all SEED functions detected in the samples. The SEED level function categories in the figure are significantly overrepresented or depleted in the 332 arsenic related functions (chi-square test P value <0.05).</p
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