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Using Geographic Information Systems and Spatial Analysis Methods to Assess Household Water Access and Sanitation Coverage in the SHINE Trial
Access to water and sanitation are important determinants of behavioral responses to hygiene and sanitation interventions. We estimated cluster-specific water access and sanitation coverage to inform a constrained randomization technique in the SHINE trial. Technicians and engineers inspected all pu...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4657592/ https://www.ncbi.nlm.nih.gov/pubmed/26602299 http://dx.doi.org/10.1093/cid/civ847 |
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author | Ntozini, Robert Marks, Sara J. Mangwadu, Goldberg Mbuya, Mduduzi N. N. Gerema, Grace Mutasa, Batsirai Julian, Timothy R. Schwab, Kellogg J. Humphrey, Jean H. Zungu, Lindiwe I. |
author_facet | Ntozini, Robert Marks, Sara J. Mangwadu, Goldberg Mbuya, Mduduzi N. N. Gerema, Grace Mutasa, Batsirai Julian, Timothy R. Schwab, Kellogg J. Humphrey, Jean H. Zungu, Lindiwe I. |
author_sort | Ntozini, Robert |
collection | PubMed |
description | Access to water and sanitation are important determinants of behavioral responses to hygiene and sanitation interventions. We estimated cluster-specific water access and sanitation coverage to inform a constrained randomization technique in the SHINE trial. Technicians and engineers inspected all public access water sources to ascertain seasonality, function, and geospatial coordinates. Households and water sources were mapped using open-source geospatial software. The distance from each household to the nearest perennial, functional, protected water source was calculated, and for each cluster, the median distance and the proportion of households within <500 m and >1500 m of such a water source. Cluster-specific sanitation coverage was ascertained using a random sample of 13 households per cluster. These parameters were included as covariates in randomization to optimize balance in water and sanitation access across treatment arms at the start of the trial. The observed high variability between clusters in both parameters suggests that constraining on these factors was needed to reduce risk of bias. |
format | Online Article Text |
id | pubmed-4657592 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-46575922015-11-27 Using Geographic Information Systems and Spatial Analysis Methods to Assess Household Water Access and Sanitation Coverage in the SHINE Trial Ntozini, Robert Marks, Sara J. Mangwadu, Goldberg Mbuya, Mduduzi N. N. Gerema, Grace Mutasa, Batsirai Julian, Timothy R. Schwab, Kellogg J. Humphrey, Jean H. Zungu, Lindiwe I. Clin Infect Dis The Sanitation Hygiene Infant Nutrition Efficacy (Shine) Trial Access to water and sanitation are important determinants of behavioral responses to hygiene and sanitation interventions. We estimated cluster-specific water access and sanitation coverage to inform a constrained randomization technique in the SHINE trial. Technicians and engineers inspected all public access water sources to ascertain seasonality, function, and geospatial coordinates. Households and water sources were mapped using open-source geospatial software. The distance from each household to the nearest perennial, functional, protected water source was calculated, and for each cluster, the median distance and the proportion of households within <500 m and >1500 m of such a water source. Cluster-specific sanitation coverage was ascertained using a random sample of 13 households per cluster. These parameters were included as covariates in randomization to optimize balance in water and sanitation access across treatment arms at the start of the trial. The observed high variability between clusters in both parameters suggests that constraining on these factors was needed to reduce risk of bias. Oxford University Press 2015-12-15 2015-11-11 /pmc/articles/PMC4657592/ /pubmed/26602299 http://dx.doi.org/10.1093/cid/civ847 Text en © The Author 2015. Published by Oxford University Press for the Infectious Diseases Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | The Sanitation Hygiene Infant Nutrition Efficacy (Shine) Trial Ntozini, Robert Marks, Sara J. Mangwadu, Goldberg Mbuya, Mduduzi N. N. Gerema, Grace Mutasa, Batsirai Julian, Timothy R. Schwab, Kellogg J. Humphrey, Jean H. Zungu, Lindiwe I. Using Geographic Information Systems and Spatial Analysis Methods to Assess Household Water Access and Sanitation Coverage in the SHINE Trial |
title | Using Geographic Information Systems and Spatial Analysis Methods to Assess Household Water Access and Sanitation Coverage in the SHINE Trial |
title_full | Using Geographic Information Systems and Spatial Analysis Methods to Assess Household Water Access and Sanitation Coverage in the SHINE Trial |
title_fullStr | Using Geographic Information Systems and Spatial Analysis Methods to Assess Household Water Access and Sanitation Coverage in the SHINE Trial |
title_full_unstemmed | Using Geographic Information Systems and Spatial Analysis Methods to Assess Household Water Access and Sanitation Coverage in the SHINE Trial |
title_short | Using Geographic Information Systems and Spatial Analysis Methods to Assess Household Water Access and Sanitation Coverage in the SHINE Trial |
title_sort | using geographic information systems and spatial analysis methods to assess household water access and sanitation coverage in the shine trial |
topic | The Sanitation Hygiene Infant Nutrition Efficacy (Shine) Trial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4657592/ https://www.ncbi.nlm.nih.gov/pubmed/26602299 http://dx.doi.org/10.1093/cid/civ847 |
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