Publication

Associations between open drain flooding and pediatric enteric infections in the MAL-ED cohort in a low-income, urban neighborhood in Vellore, India

Downloadable Content

Persistent URL
Last modified
  • 05/15/2025
Type of Material
Authors
    David Berendes, Emory UniversityJuan Leon, Emory UniversityAmy Kirby, Emory UniversityJulie Clennon, Emory UniversitySuraja J. Raj, Emory UniversityHabib Yakubu, Emory UniversityKatharine A. Robb, Emory UniversityArun Kartikeyan, Christian Medical CollegePriya Hemavathy, Christian Medical CollegeAnnai Gunasekaran, Christian Medical CollegeSheela Roy, Christian Medical CollegeBen Chirag Ghale, Christian Medical CollegeJ. Senthil Kumar, Christian Medical CollegeVenkata Raghava Mohan, Christian Medical CollegeGagandeep Kang, Christian Medical CollegeChristine Moe, Emory University
Language
  • English
Date
  • 2019-07-10
Publisher
  • BMC (part of Springer Nature)
Publication Version
Copyright Statement
  • © 2019 The Author(s).
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 1471-2458
Volume
  • 19
Issue
  • 1
Start Page
  • 926
End Page
  • 926
Grant/Funding Information
  • The SaniPath study was funded by the Bill and Melinda Gates Foundation, OPP1016151.
  • The Etiology, Risk Factors and Interactions of Enteric Infections and Malnutrition and the Consequences for Child Health and Development Project (MAL-ED) is carried out as a collaborative project supported by the Bill & Melinda Gates Foundation, the Foundation for the NIH and the National Institutes of Health/Fogarty International Center.
Supplemental Material (URL)
Abstract
  • Background: Open drains are common methods of transporting solid waste and excreta in low-income urban neighborhoods. Open drains can overflow due to blockages with solid waste and during rainfall, posing exposure risks. The goal of this study was to evaluate whether pediatric enteric infection was associated with open drains and flooding in a dense, low-income, urban neighborhood. Methods: As part of the MAL-ED study in Vellore, India, a cohort of 230 children provided stool specimens at 14-17 scheduled home visits and during diarrheal episodes in the first two years of life. All specimens were analyzed for enteric pathogens. Caregivers in 100 households reported on flooding of drains and households and monthly frequency of contact with open drains and flood water. Household GPS points were collected. Monthly rainfall totals for the Vellore district were collected from the Indian Meteorological Department. Clustering of reported drain and house flooding were identified by Kulldorff's Bernoulli Spatial Scan. Differences in enteric infection were assessed for household responses and spatial clusters, with interactions between reported flooding and rainfall to approximate monthly drain flooding retrospectively, using multivariable, mixed-effects logistic regression models. Results: Coverage of household toilets was low (33%), and most toilets (82%) discharged directly into open drains, suggesting poor neighborhood fecal sludge management. Odds of enteric infection increased significantly with total monthly rainfall for children who lived in households that reported that the nearby drain flooded (4% increase per cm of rain: OR: 1.04, 95% CI: 1.00-1.08) and for children in households in a downstream spatial cluster of reported drain flooding (5% increase per cm of rain: OR: 1.05, 95% CI: 1.01-1.09). There was no association between odds of enteric infection and frequency of reported contact with drain or floodwater. Conclusions: Children in areas susceptible to open drain flooding had increased odds of enteric infection as rainfall increased. Results suggested that infection increased with rainfall due to neighborhood infrastructure (including poor fecal sludge management) and not frequency of contact. Thus, these exposures may not be mitigated by changes in personal behaviors alone. These results underscore the importance of improving the neighborhood environment to improve children's health in low-income, urban settings.
Author Notes
Keywords
Research Categories
  • Environmental Sciences
  • Biology, Biostatistics
  • Health Sciences, Public Health

Tools

Relations

In Collection:

Items