Predictors of E. coli contamination at rural water points in Kenya, Malawi, Mozambique, Uganda, and Zambia
Predictors of E. coli contamination at rural water points in Kenya, Malawi, Mozambique, Uganda, and Zambia
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肯尼亚、马拉维、莫桑比克、乌干达和赞比亚农村供水点大肠杆菌污染的预测因素
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Julian Oliver
中科院分区：
文献类型：
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作者：
Julian Oliver
关于体制因素如何影响撒哈拉以南非洲农村饮用水质量的定量信息很少。我们收集了肯尼亚、马拉维、莫桑比克、乌干达和赞比亚549个农村取水点的大肠杆菌浓度和管理实践数据。正如预期的那样，自来水比公共水龙头、钻孔、挖井和泉水受到污染的几率要低得多。训练有素的技术人员的存在略微降低了污染的几率（OR=0.28, p=0.07）。在大肠杆菌检测呈阳性的供水点中，附近的技术支持和收费系统与浓度显著下降有关。令人惊讶的是，卫生检查得分，以前推荐作为水质分析的替代指标，与大肠杆菌浓度无关（r=0.02, p=0.67）。这些结果进一步证明，需要财政和机构支持，以维持供水点，以管道水为黄金标准，并监测水质，而不是使用代理措施。
Little quantitative information is available on how institutional factors affect drinking water quality in rural sub-Saharan Africa. We collected data on E. coli concentrations and management practices at 549 rural water points in Kenya, Malawi, Mozambique, Uganda, and Zambia. As expected, piped water had much lower odds of contamination than public taps, boreholes, dug wells, and springs. The presence of a trained technician marginally decreased the odds of contamination (OR=0.28, p=0.07). Among water points testing positive for E. coli, nearby technical support and fee collection systems were associated with significant decreases in concentrations. Surprisingly, the sanitary inspection score, previously recommended as a surrogate for water quality analysis, was uncorrelated with E. coli concentrations (r=0.02, p=0.67). These results provide further evidence of the need for financial and institutional support to maintain water points, to aim for piped water as the gold standard, and to monitor water quality in lieu of using proxy measures.