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Global assessment of exposure to faecal contamination through drinking water based on a systematic review.

Bain R, Cronk R, Hossain R, Bonjour S, Onda K, Wright J, Yang H, Slaymaker T, Hunter P, Prüss-Ustün A, Bartram J - Trop. Med. Int. Health (2014)

Bottom Line: Predictive models for the presence and level of contamination of drinking water sources were developed using random effects logistic regression and selected covariates.Drinking water is found to be more often contaminated in rural areas (41%, CI: 31%-51%) than in urban areas (12%, CI: 8-18%), and contamination is most prevalent in Africa (53%, CI: 42%-63%) and South-East Asia (35%, CI: 24%-45%).Global burden of disease estimates may have substantially understated the disease burden associated with inadequate water services.

View Article: PubMed Central - PubMed

Affiliation: The Water Institute, University of North Carolina, Chapel Hill, NC, USA.

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Analytical approaches used to estimate global exposure to unsafe drinking-water.
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fig01: Analytical approaches used to estimate global exposure to unsafe drinking-water.

Mentions: We combined estimates of the number of people using different types of water source in rural and urban areas with estimated levels of microbial contamination for each source type in a given country primarily based on data from a systematic review (Figure 1). As these estimates have been used to inform new estimates of the burden of diarrhoeal disease (Prüss-Ustün et al. 2014), we use WHO regions separated by income levels using the World Bank's classification (World Bank 2013).


Global assessment of exposure to faecal contamination through drinking water based on a systematic review.

Bain R, Cronk R, Hossain R, Bonjour S, Onda K, Wright J, Yang H, Slaymaker T, Hunter P, Prüss-Ustün A, Bartram J - Trop. Med. Int. Health (2014)

Analytical approaches used to estimate global exposure to unsafe drinking-water.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4255778&req=5

fig01: Analytical approaches used to estimate global exposure to unsafe drinking-water.
Mentions: We combined estimates of the number of people using different types of water source in rural and urban areas with estimated levels of microbial contamination for each source type in a given country primarily based on data from a systematic review (Figure 1). As these estimates have been used to inform new estimates of the burden of diarrhoeal disease (Prüss-Ustün et al. 2014), we use WHO regions separated by income levels using the World Bank's classification (World Bank 2013).

Bottom Line: Predictive models for the presence and level of contamination of drinking water sources were developed using random effects logistic regression and selected covariates.Drinking water is found to be more often contaminated in rural areas (41%, CI: 31%-51%) than in urban areas (12%, CI: 8-18%), and contamination is most prevalent in Africa (53%, CI: 42%-63%) and South-East Asia (35%, CI: 24%-45%).Global burden of disease estimates may have substantially understated the disease burden associated with inadequate water services.

View Article: PubMed Central - PubMed

Affiliation: The Water Institute, University of North Carolina, Chapel Hill, NC, USA.

Show MeSH
Related in: MedlinePlus