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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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Related in: MedlinePlus

Relationship between proportion of samples contaminated with faecal indicator bacteria and the proportion with lev els greater than or equal to 10 per 100 ml, showing fitted quadratic model. Circles are proportional to the number of samples tested at a given type of water source within each study.]
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fig02: Relationship between proportion of samples contaminated with faecal indicator bacteria and the proportion with lev els greater than or equal to 10 per 100 ml, showing fitted quadratic model. Circles are proportional to the number of samples tested at a given type of water source within each study.]

Mentions: Figure 2 illustrates the relationship between the proportion of samples found to be positive and the proportion containing at least 10 E. coli or TTC per 100 ml. This is based on 9495 samples from 78 studies. Although there are several outliers, we found that a quadratic model provides a reasonable fit to these data (R2 = 0.93; n = 151).


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)

Relationship between proportion of samples contaminated with faecal indicator bacteria and the proportion with lev els greater than or equal to 10 per 100 ml, showing fitted quadratic model. Circles are proportional to the number of samples tested at a given type of water source within each study.]
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig02: Relationship between proportion of samples contaminated with faecal indicator bacteria and the proportion with lev els greater than or equal to 10 per 100 ml, showing fitted quadratic model. Circles are proportional to the number of samples tested at a given type of water source within each study.]
Mentions: Figure 2 illustrates the relationship between the proportion of samples found to be positive and the proportion containing at least 10 E. coli or TTC per 100 ml. This is based on 9495 samples from 78 studies. Although there are several outliers, we found that a quadratic model provides a reasonable fit to these data (R2 = 0.93; n = 151).

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