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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.
Afiliação
  • Ntozini R; Zvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe.
  • Marks SJ; Swiss Federal Institute of Aquatic Science and Technology (Eawag), Duebendorf, Switzerland.
  • Mangwadu G; Zvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe Ministry of Health and Child Care, Harare, Zimbabwe.
  • Mbuya MN; Zvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe Center for Human Nutrition.
  • Gerema G; Zvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe.
  • Mutasa B; Zvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe.
  • Julian TR; Swiss Federal Institute of Aquatic Science and Technology (Eawag), Duebendorf, Switzerland.
  • Schwab KJ; Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
  • Humphrey JH; Zvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe Center for Human Nutrition.
  • Zungu LI; Department of Health Studies, University of South Africa, Pretoria.
Clin Infect Dis ; 61 Suppl 7: S716-25, 2015 Dec 15.
Article em En | MEDLINE | ID: mdl-26602299
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Abastecimento de Água / Saneamento / Sistemas de Informação Geográfica / Análise Espacial Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Abastecimento de Água / Saneamento / Sistemas de Informação Geográfica / Análise Espacial Idioma: En Ano de publicação: 2015 Tipo de documento: Article