Household, neighbourhood and service provider risk factors for piped drinking-water intermittency in urban and peri-urban Zambia: A cross-sectional analysis

被引:2
作者
Thomas-Possee, Mair L. H. [1 ,2 ]
Channon, Andrew A. [3 ]
Bain, Robert E. S. [4 ]
Wright, James A. [1 ]
机构
[1] Univ Southampton, Geog & Environm Sci, Southampton, England
[2] WaterAid, London, England
[3] Univ Southampton, Social Stat & Demog, Southampton, England
[4] UNICEF Middle East & North Africa, Amman, Jordan
来源
PLOS WATER | 2024年 / 3卷 / 02期
基金
英国经济与社会研究理事会;
关键词
SANITATION ACCESS; INEQUALITY; COUNTRIES; PATTERNS; SYSTEMS; LUSAKA; KENYA; GHANA; POOR;
D O I
10.1371/journal.pwat.0000127
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Given nearly one third of sub-Saharan Africa's population lack access to an improved water source that is available when needed, service continuity restricts access to safely managed services. Household surveys, water regulators, and utilities all gather data on service continuity, but few studies have integrated these disparate datasets to quantify continuity-related risk factors and inequalities. This study aimed to assess the added value of utility and regulator data for international monitoring by assessing factors affecting piped water availability in urban and peri-urban Zambia. Household 'user' data from the 2018 Demographic and Health Survey (n = 3047) were spatially linked to provider data from an international utility database and regulator reports. Multilevel modelling quantified provider-related and socioeconomic risk factors for households reporting water being unavailable for at least one day in the previous fortnight. 47% (95% CI: 45%, 49%) of urban and peri-urban households reported water being unavailable for at least one full day, ranging from 18% (95% CI: 14%, 23%) to 76% (95% CI: 70%, 81%) across providers. Controlling for provider, home ownership (odds ratio (OR) =1.31; p <0.01), speaking Luvale, Kaonde, Lunda (OR = 2.06; p <0.05) or Tonga (OR = 1.78; p <0.1) as an ethnicity proxy, and dry season interview dates (OR = 1.91; p <0.05) were associated with household-reported interruptions. Households using a neighbour's tap (OR = 1.33; p <0.1) and in mid-wealth neighbourhoods (OR = 4.31; per capita, the odds of an interruption were 0.51 times less (p<0.01). Substantial inequalities in drinking-water availability were found between provider coverage areas. Spatial integration of user, provider and regulator data enriches analysis, providing a finer-scale perspective than otherwise possible. However, wider use of utility or regulator data requires investment in monitoring of small-scale community supply intermittency and utility coverage area data.
引用
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页数:26
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