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Water, Sanitation, and Cholera in Sub-Saharan Africa.
Sikder, Mustafa; Deshpande, Aniruddha; Hegde, Sonia T; Malembaka, Espoir Bwenge; Gallandat, Karin; Reiner, Robert C; Lessler, Justin; Lee, Elizabeth C; Azman, Andrew S.
Afiliação
  • Sikder M; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland 21205, United States.
  • Deshpande A; Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98105, United States.
  • Hegde ST; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland 21205, United States.
  • Malembaka EB; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland 21205, United States.
  • Gallandat K; Center for Tropical Diseases and Global Health (CTDGH), Université Catholique de Bukavu (UCB), B.P. 285 Bukavu, The Democratic Republic of Congo.
  • Reiner RC; Environmental Health Group, Department for Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London WC1E 7HT, U.K.
  • Lessler J; Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, Washington 98105, United States.
  • Lee EC; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland 21205, United States.
  • Azman AS; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland 21205, United States.
Environ Sci Technol ; 57(28): 10185-10192, 2023 07 18.
Article em En | MEDLINE | ID: mdl-37409942
Improvements in water and sanitation should reduce cholera risk though the associations between cholera and specific water and sanitation access measures remain unclear. We estimated the association between eight water and sanitation measures and annual cholera incidence access across sub-Saharan Africa (2010-2016) for data aggregated at the country and district levels. We fit random forest regression and classification models to understand how well these measures combined might be able to predict cholera incidence rates and identify high cholera incidence areas. Across spatial scales, piped or "other improved" water access was inversely associated with cholera incidence. Access to piped water, septic or sewer sanitation, and septic, sewer, or "other improved" sanitation were associated with decreased district-level cholera incidence. The classification model had moderate performance in identifying high cholera incidence areas (cross-validated-AUC 0.81, 95% CI 0.78-0.83) with high negative predictive values (93-100%) indicating the utility of water and sanitation measures for screening out areas that are unlikely to be at high cholera risk. While comprehensive cholera risk assessments must incorporate other data sources (e.g., historical incidence), our results suggest that water and sanitation measures could alone be useful in narrowing the geographic focus for detailed risk assessments.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Água / Cólera Limite: Humans País/Região como assunto: Africa Idioma: En Ano de publicação: 2023

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Água / Cólera Limite: Humans País/Região como assunto: Africa Idioma: En Ano de publicação: 2023