Publication

Modeling cryptosporidium and giardia in ground and surface water sources in rural India: Associations with latrines, livestock, damaged wells, and rainfall patterns

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Last modified
  • 02/25/2025
Type of Material
Authors
    Miles E Daniels, University of California, DavisWoutrina A. Smith, University of California, DavisWolf-Peter Schmidt, London School of Hygiene and Tropical MedicineThomas Clasen, Emory UniversityMarion W. Jenkins, London School of Hygiene and Tropical Medicine
Language
  • English
Date
  • 2016-06-16
Publisher
  • American Chemical Society
Publication Version
Copyright Statement
  • © 2016 American Chemical Society.
License
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 0013-936X
Volume
  • 50
Issue
  • 14
Start Page
  • 7498
End Page
  • 7507
Supplemental Material (URL)
Abstract
  • Surface and groundwater contamination with fecal pathogens is a public health concern especially in low-income settings where these sources are used untreated. We modeled observed Cryptosporidium and Giardia contamination in community ponds (n = 94; 79% contaminated), deep tubewells (DTWs) (n = 107; 17%), and shallow tubewells (STWs) (n = 96; 19%) during the 2012 and 2013 monsoon seasons (June-August) in 60 villages in Puri District, India to understand sources and processes of contamination. Detection of Cryptosporidium and/or Giardia in a tubewell was positively associated with damage to the well pad for DTWs, the amount of human loading into pour-flush latrine pits nearby (≤15 m) for STWs, and the village literacy rate (for Giardia in STWs). Pond concentration levels were positively associated with the number of people practicing open defecation within 50 m and the sheep population for Cryptosporidium, and with the village illiteracy rate for Giardia. Recent rainfall increased the risk of Cryptosporidium in STWs (an extreme event) and ponds (any), while increasing seasonal rainfall decreased the risk of Giardia in STWs and ponds. Full latrine coverage in this setting is expected to marginally reduce pond Cryptosporidium contamination (16%) while increasing local groundwater protozoal contamination (87-306%), with the largest increases predicted for Cryptosporidium in STWs.
Author Notes
Research Categories
  • Health Sciences, Pathology
  • Health Sciences, Human Development
  • Health Sciences, Public Health

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