Joseph N S Eisenberg1, James C Scott, Travis Porco. 1. Department of Epidemiology, School of Public Health, School of Public Health, University of Michigan, Ann Arbor, MI 48104-3028, USA. jnse@umich.edu
Abstract
OBJECTIVES: Although the burden of diarrheal disease resulting from inadequate water quality, sanitation practices, and hygiene remains high, there is little understanding of the integration of these environmental control strategies. We tested a modeling framework designed to capture the interdependent transmission pathways of enteric pathogens. METHODS: We developed a household-level stochastic model accounting for 5 different transmission pathways. We estimated disease preventable through water treatment by comparing 2 scenarios: all households fully exposed to contaminated drinking water and all households receiving the water quality intervention. RESULTS: We found that the benefits of a water quality intervention depend on sanitation and hygiene conditions. When sanitation conditions are poor, water quality improvements may have minimal impact regardless of amount of water contamination. If each transmission pathway alone is sufficient to maintain diarrheal disease, single-pathway interventions will have minimal benefit, and ultimately an intervention will be successful only if all sufficient pathways are eliminated. However, when 1 pathway is critical to maintaining the disease, public health efforts should focus on this critical pathway. CONCLUSIONS: Our findings provide guidance in understanding how to best reduce and eliminate diarrheal disease through integrated control strategies.
OBJECTIVES: Although the burden of diarrheal disease resulting from inadequate water quality, sanitation practices, and hygiene remains high, there is little understanding of the integration of these environmental control strategies. We tested a modeling framework designed to capture the interdependent transmission pathways of enteric pathogens. METHODS: We developed a household-level stochastic model accounting for 5 different transmission pathways. We estimated disease preventable through water treatment by comparing 2 scenarios: all households fully exposed to contaminated drinking water and all households receiving the water quality intervention. RESULTS: We found that the benefits of a water quality intervention depend on sanitation and hygiene conditions. When sanitation conditions are poor, water quality improvements may have minimal impact regardless of amount of water contamination. If each transmission pathway alone is sufficient to maintain diarrheal disease, single-pathway interventions will have minimal benefit, and ultimately an intervention will be successful only if all sufficient pathways are eliminated. However, when 1 pathway is critical to maintaining the disease, public health efforts should focus on this critical pathway. CONCLUSIONS: Our findings provide guidance in understanding how to best reduce and eliminate diarrheal disease through integrated control strategies.
Authors: J S Koopman; I M Longini; J A Jacquez; C P Simon; D G Ostrow; W R Martin; D M Woodcock Journal: Am J Epidemiol Date: 1991-06-15 Impact factor: 4.897
Authors: Benjamin F Arnold; Ranjiv S Khush; Padmavathi Ramaswamy; Alicia G London; Paramasivan Rajkumar; Prabhakar Ramaprabha; Natesan Durairaj; Alan E Hubbard; Kalpana Balakrishnan; John M Colford Journal: Proc Natl Acad Sci U S A Date: 2010-12-13 Impact factor: 11.205
Authors: Robert Dreibelbis; Matthew C Freeman; Leslie E Greene; Shadi Saboori; Richard Rheingans Journal: Am J Public Health Date: 2013-11-14 Impact factor: 9.308
Authors: Darlene Bhavnani; Jason E Goldstick; William Cevallos; Gabriel Trueba; Joseph N S Eisenberg Journal: Am J Trop Med Hyg Date: 2014-02-24 Impact factor: 2.345
Authors: V Garrett; P Ogutu; P Mabonga; S Ombeki; A Mwaki; G Aluoch; M Phelan; R E Quick Journal: Epidemiol Infect Date: 2008-01-21 Impact factor: 2.451
Authors: Daniel Mäusezahl; Andri Christen; Gonzalo Duran Pacheco; Fidel Alvarez Tellez; Mercedes Iriarte; Maria E Zapata; Myriam Cevallos; Jan Hattendorf; Monica Daigl Cattaneo; Benjamin Arnold; Thomas A Smith; John M Colford Journal: PLoS Med Date: 2009-08-18 Impact factor: 11.069