Water, Sanitation, and Cholera in Sub-Saharan Africa

被引:0
|
作者
Sikder, Mustafa [1 ,2 ]
Deshpande, Aniruddha [3 ]
Hegde, Sonia T. [4 ]
Malembaka, Espoir Bwenge [4 ,5 ]
Gallandat, Karin [6 ]
Reiner, Robert C. [7 ]
Lessler, Justin [4 ]
Lee, Elizabeth C. [4 ]
Azman, Andrew S. [4 ,8 ,9 ]
机构
[1] Johns Hopkins Univ, Johns Hopkins Bloomberg Sch Publ Hlth, Dept Int Hlth, Baltimore, MD 21205 USA
[2] Ctr Food Safety & Appl Nutr Food & Drug Adm, College Pk, MD 20740 USA
[3] Univ Washington, Inst Hlth Metr & Evaluat, Seattle, WA 98105 USA
[4] Johns Hopkins Univ, Johns Hopkins Bloomberg Sch Publ Hlth, Dept Epidemiol, Baltimore, MD 21205 USA
[5] Univ Catholique Bukavu UCB, Ctr Trop Dis & Global Hlth CTDGH, BP 285, Bukavu, DEM REP CONGO
[6] London Sch Hyg & Trop Med, Fac Infect & Trop Dis, Dept Dis Control, Environm Hlth Grp, London WC1E 7HT, England
[7] Univ Washington, Sch Med, Dept Hlth Metr Sci, Seattle, WA 98105 USA
[8] Geneva Univ Hosp, Geneva Ctr Emerging Viral Dis, CH-1205 Geneva, Switzerland
[9] Geneva Univ Hosp, Div Trop & Humanitarian Med, CH-1205 Geneva, Switzerland
关键词
population-level analysis; random forest; geographicclassification; risk analysis; infrastructure access;
D O I
10.1021/acs.est.3c01317
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Improvements in waterand sanitation should reduce cholera riskthough the associations between cholera and specific water and sanitationaccess measures remain unclear. We estimated the association betweeneight water and sanitation measures and annual cholera incidence accessacross sub-Saharan Africa (2010-2016) for data aggregated atthe country and district levels. We fit random forest regression andclassification models to understand how well these measures combinedmight be able to predict cholera incidence rates and identify highcholera incidence areas. Across spatial scales, piped or "otherimproved" water access was inversely associated with choleraincidence. Access to piped water, septic or sewer sanitation, andseptic, sewer, or "other improved" sanitation were associatedwith decreased district-level cholera incidence. The classificationmodel had moderate performance in identifying high cholera incidenceareas (cross-validated-AUC 0.81, 95% CI 0.78-0.83) with highnegative predictive values (93-100%) indicating the utilityof water and sanitation measures for screening out areas that areunlikely to be at high cholera risk. While comprehensive cholera riskassessments must incorporate other data sources (e.g., historicalincidence), our results suggest that water and sanitation measurescould alone be useful in narrowing the geographic focus for detailedrisk assessments. Wequantified the relationship between high-resolution estimatesof water and sanitation access and cholera incidence and assessedthe utility of water and sanitation measures in identifying high-riskgeographic areas in sub-Saharan Africa.
引用
收藏
页码:10185 / 10192
页数:8
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