Volume 96, Issue 4
  • ISSN: 0002-9637
  • E-ISSN: 1476-1645



The Joint Monitoring Program relies on household surveys to classify access to improved water sources instead of measuring microbiological quality. The aim of this research was to pilot a novel test for quantification of household drinking water in the 2011 Demographic and Health Survey (DHS) in Peru. In the Compartment Bag Test (CBT), a 100-mL water sample is supplemented with chromogenic medium to support the growth of , poured into a bag with compartments, and incubated. A color change indicates growth, and the concentration of /100 mL is estimated as a most probable number. Triplicate water samples from 704 households were collected; one sample was analyzed in the field using the CBT, another replicate sample using the CBT was analyzed by reference laboratories, and one sample using membrane filtration (MF) was analyzed by reference laboratories. There were no statistically significant differences in concentrations between the field and laboratory CBT results, or when compared with MF results. These results suggest that the CBT for is an effective method to quantify fecal bacteria in household drinking water. The CBT can be incorporated into DHS and other national household surveys as a direct measure of drinking water safety based on microbial quality to better document access to safe drinking water.


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  1. World Health Organization/United Nations Children's Fund, 2014. Progress on Sanitation and Drinking Water: 2014 Update. Geneva, Switzerland: World Health Organization. [Google Scholar]
  2. World Health Organization/United Nations Children's Fund, 2010. Progress on Sanitation and Drinking Water: 2010 Update. Geneva, Switzerland: World Health Organization. [Google Scholar]
  3. Onda K, LoBuglio J, Bartram J, , 2012. Global access to safe water: accounting for water quality and the resulting impact on MDG progress. Int J Environ Res Public Health 9: 880894.[Crossref] [Google Scholar]
  4. Bain R, Cronk R, Hossain R, Bonjour S, Onda K, Wright J, Yang H, Slaymaker T, Hunter P, Pruss-Ustun A, Bartram J, , 2014. Global assessment of exposure to faecal contamination through drinking water based on a systematic review. Trop Med Int Health 19: 917927.[Crossref] [Google Scholar]
  5. Shaheed A, Orgill J, Montgomery M, Jeuland M, Brown J, , 2014. Why “improved” water sources are not always safe. Bull World Health Organ 92: 229308.[Crossref] [Google Scholar]
  6. McMahan L, Devine A, Grunden A, Sobsey M, , 2011. Validation of the H2S method to detect bacteria of fecal origin by cultured and molecular methods. Appl Microbiol Biotechnol 92: 12871295.[Crossref] [Google Scholar]
  7. Stauber C, Miller C, Cantrell B, Kroell K, , 2014. Evaluation of the compartment bag test for the detection of Escherichia coli in water. J Microbiol Methods 99: 6670.[Crossref] [Google Scholar]
  8. World Health Organization, 2004. Guidelines for Drinking-Water Quality. Geneva, Switzerland: World Health Organization, 392394. [Google Scholar]
  9. Demographic and Health Surveys, 1996. Sampling Manual DHS-III Basic Documentation No. 6. Calverton, MD: Macro International Inc. [Google Scholar]
  10. Brown J, Stauber C, Murphy J, Khan A, Mu T, Elliott M, Sobsey M, , 2011. Ambient-temperature incubation for the field detection of Escherichia coli in drinking water. J Appl Microbiol 110: 915923.[Crossref] [Google Scholar]
  11. Cochran WG, , 1950. Estimation of bacterial densities by means of the “most probable number.” Biometrics 6: 105116.[Crossref] [Google Scholar]
  12. Klee AJ, , 1993. A computer program for the determination of most probable number and its confidence limits. J Microbiol Methods 18: 9198.[Crossref] [Google Scholar]
  13. U.S. Environmental Protection Agency (USEPA), 2008. Addendum to New Microbiology Test Methods for E. coli . Washington, DC: USEPA. Available at: http://www.cdph.ca.gov/certlic/labs/Documents/ELAPAddendMicro.pdf. [Google Scholar]
  14. McFeters G, Camper A, , 1983. Enumeration of indicator bacteria exposed to chlorine. Adv Appl Microbiol 29: 177193.[Crossref] [Google Scholar]
  15. Bain R, Bartram J, Elliott M, Matthews R, McMahan L, Tung R, Chuang P, Gundry S, , 2012. A summary catalogue of microbial drinking water tests for low and medium resource settings. Int J Environ Res Public Health 9: 16091625.[Crossref] [Google Scholar]
  16. Crocker J, Bartram J, , 2014. Comparison and cost analysis of drinking water quality monitoring requirements versus practice in seven developing countries. Int J Environ Res Public Health 11: 73337346.[Crossref] [Google Scholar]
  17. Brenniman GR, Rosenberg SH, Northrop RL, , 1981. Microbial sampling variables and recreational water quality standards. Am J Public Health 71: 283289.[Crossref] [Google Scholar]

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  • Received : 03 Oct 2015
  • Accepted : 10 Nov 2016
  • Published online : 06 Mar 2017

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