Understanding handpump sustainability: Determinants of rural water source functionality in the Greater Afram Plains region of Ghana

An assessment tool to improve rural groundwater access: Integrating hydrogeological modelling with socio-technical factors

Sustainable exploitation of groundwater resources for drinking water provision in rural communities in sub-Sahara Africa remains elusive due to the limited knowledge of these hydrogeological systems. This is exacerbated by poor maintenance of existing infrastructure, limited technical capacity, the socio-economic characteristics of the area and poor governance. Assessing the likelihood of a given individual user experiencing water shortage calls for an interdisciplinary approach. After a preliminary multifactorial analysis incorporating a range of variables from technical to societal, it was found that most of the overall risk of water shortage for an individual household could be attributed to three factors; (1) Proximity, specified as the distance to the closest supply well (determined by geographical parameters), (2) Availability of good quality water in the wells (determined by hydrogeological understanding and modelling), and (3) Sustainability (determined by socio-technical and socio-economic parameters). In the latter case, a distinction was made between hardware functionality- the water point's performance considering a sufficient yield and reliability through time- and software functionality, based on a combination of socioeconomic data from surveys and analysed using Multiple Factor Analysis (MFA). All three factors are eventually mapped onto indicators in the range of [0-1] and then represented in a Geographical Information System based on the partition of the entire spatial domain (e.g., counties, villages, and neighbourhoods). The three indicators are then combined in a final index based on the product of the three factors, thus mapping time-dependent overall risk and allowing the assessment of temporal risk-evolution scenarios. The methodology is applied to Kwale County, Kenya, where community handpumps and groundwater points comprise the main water supply system. Apart from mapping the present situation, the methodology is finally used to assess the impact of future climate scenarios.

The Impact of Rapid Handpump Repairs on Diarrhea Morbidity in Children: Cross-Sectional Study in Kwale County, Kenya

BACKGROUND

Handpumps are used by millions of people as their main source of water. Although handpumps represent only a basic form of water provision, there have been continuous efforts to improve the performance of these systems as they are likely to remain in use for many years to come. The introduction of a professional maintenance service in southern Kenya has shown an order of magnitude improvement in operational performance over community-based management, with 90% of handpump faults repaired within 3 days of being reported. One driver behind these efforts is the assumption that a more reliable water supply will lead to a reduction in water-related disease. However, it is not clear if operational improvements lead to health gains. Despite limited empirical evidence, some modeling studies suggest that even short periods of drinking contaminated water can lead to disproportionate negative health impacts.

OBJECTIVE

The aim of this study was to assess whether the improvements in operational performance from the rapid professional maintenance of rural handpumps lead to improved household health outcomes.

METHODS

From a sample of households using handpumps as their primary water source in Kwale County, Kenya, we measured the 2-week prevalence of World Health Organization-defined diarrhea in children, reported by the adult respondent for each household. We compared the rates before and after a period during which the households' handpumps were being professionally maintained. We then conducted a cross-sectional analysis, fitting logistic regression models with reported diarrhea as the dependent variable and speed of repair as the independent exposure of interest, adjusting for household socioeconomic characteristics; dwelling construction; and Water, Sanitation, and Hygiene (WASH)-related factors. We fitted an additional model to examine select interactions between covariates.

RESULTS

Reported diarrhea in children was lower in households whose pumps had been repaired within 24 hours (adjusted odds ratio 0.35, 95% CI 0.24-0.51). This effect was robust to the inclusion of multiple categories of covariates. No reduction was seen in households whose pump repairs took more than 24 hours. Analysis of interaction terms showed that certain interventions associated with improved WASH outcomes were only associated with reductions in diarrhea in conjunction with socioeconomic improvements.

CONCLUSIONS

Only pump repairs consistently made within 24 hours of failure led to a reduction in diarrhea in the children of families using handpumps. While the efficacy of reduction in diarrhea is substantial, the operational challenges of guaranteeing same-day repairs limits the effectiveness of even best-in-class pump maintenance. Maintenance regimes that cannot bring handpump downtimes close to zero will struggle to generate health benefits. Other factors that reduce diarrhea prevalence have limited effect in isolation, suggesting that WASH interventions will be more effective when undertaken as part of more holistic poverty-reduction efforts.

Inter- and intra-rater reliability of handpump functionality field tests

Sustaining the functionality of drinking water supplies in low- and middle-income countries is a longstanding challenge. Growing awareness of this problem has motivated increased attention to validly and reliably measuring water point functionality, including among handpumps, which serve approximately 9 % of the global population. Yet the most widely used indicator of functionality, whether a water point provides water, has limited validity, reliability, and utility. We tested the inter-rater (agreement among measurements taken by different people) and intra-rater (agreement among repeated measurements taken by the same person) reliability of three handpump functionality field tests in Uganda: pump capacity, 10-minute leakage rate, and flowrate. One person equipped with a stopwatch and a 20-liter container can complete the tests for one handpump in 15 min. The same three to four raters each conducted the tests three times on 28 handpumps. Different sets of four to five raters each conducted the tests once on 32 handpumps. Intraclass correlation coefficients were estimated to indicate inter- and intra-rater reliability. Ten-minute leakage rate had the highest inter-rater reliability, followed by pump capacity. Flowrate, which is commonly measured manually as part of handpump functionality assessments, had poor inter-rater reliability. Indicators derived from all three tests had high intra-rater reliability. Drawing on our inter-rater reliability results, we propose a fully quantitative procedure and validate an ordinal scale of physical handpump functionality based on the 10-minute leakage rate and pump capacity tests. This measurement procedure can be usefully incorporated into service delivery monitoring and research to enhance the objectivity, utility, and comparability of global handpump functionality data. Future studies can test the reliability of these indicators in other contexts and their value for predicting handpump breakdown.

Contribution of physical factors to handpump borehole functionality in Africa

Handpumps are the main water supply for rural communities across sub-Saharan Africa. However, studies show that >25 % of handpumps are non-functional at any time. We present results from a systematic field study of handpump borehole functionality. The study was designed to investigate the contribution of physical factors to functionality outcomes, including; hydrogeology, borehole configuration, and handpump components. To achieve this, we deconstructed and examined 145 handpump boreholes in Ethiopia, Uganda and Malawi. Pumping tests showed that 19 % of boreholes were located in aquifers with transmissivity below the minimum required to sustain a handpump. Water levels, measured during the dry season, had a complex relationship with borehole configuration and transmissivity. The handpump cylinder was <10 m below the water table at 38 % of sites, which increases the risk of the handpump running dry during intensive use and/or in areas of low transmissivity. The water column was <20 m at 23 % of sites and screens were <10 m long at 29 % of sites and often sub-optimally positioned in the borehole. Borehole depth had no clear relationship with functionality. Using multinomial regression and four functionality categories (functional; unreliable; low yield; unreliable and low yield) as dependant variables, we found that transmissivity is a significant risk factor for the classification of handpump boreholes as low yield. The configuration of the borehole (e.g. cylinder position, screen/casing configuration and water column) is a statistically significant risk factor for the classification of handpump boreholes as unreliable. Handpump components were in poor overall condition but rising main pipes were a particular problem with 53 % of galvanised pipes corroded and 82 % of uPVC pipes damaged, with implications for handpump performance. Our study highlights the importance of; understanding aquifer properties, investing in borehole siting, construction (including supervision) and commissioning, and improving the quality of components and maintenance of handpumps.

Pathways to consumer demand and payment for professional rural water infrastructure maintenance across low-income contexts

Systems for regular, preventive maintenance of infrastructure are needed to ensure safe water access globally. Emerging and growing across rural sub-Saharan Africa, professionalized maintenance arrangements feature legal, regulated service providers who maintain infrastructure in exchange for consumer payment through contracts. However, little is understood about the conditions that enable service providers to retain consumer contracts, an important component of their sustainability that indicates consistent demand and payment. This paper uses fuzzy-set Qualitative Comparative Analysis to identify combinations of operational, natural, physical, political, and social conditions enabling high contract retention across 22 implementation cases in Uganda, uncovering 2 pathways to success. In both pathways, consistent expansion by the service provider normalizes concepts such as tariff payment and local government participation increases trust and accountability between the service provider and consumers. The predominant pathway features one additional condition, coordinated sector aid, ensuring consistent implementation and mitigating harmful dependencies. The alternative pathway relies on large user communities and ease of access to those communities to counteract uncoordinated aid. Thus, operational, social, and political conditions may be sufficient to enable high contract retention irrespective of natural and physical conditions. This paper uncovers the combined efforts required of service providers, service authorities, international donors, and local aid actors to ensure the sustainable maintenance of rural water infrastructure for reliable safe water access.

Longitudinal borehole functionality in 15 rural Ghanaian towns from three groundwater quality clusters

Objective

In sub-Saharan Africa, 45% of the rural population uses boreholes (BHs). Despite recent gains in improved water access and coverage, parallel use of unimproved sources persists. Periodic infrastructure disrepair contributes to non-exclusive use of BHs. Our study describes functionality of BHs in 2014, 2015, and 2016 in 15 rural towns in the Eastern Region of Ghana sourced from three groundwater quality clusters (high iron, high salinity, and control). We also assess factors affecting cross-sectional and longitudinal functionality using logistic regression.

Results

BH functionality rates ranged between 81 and 87% and were similar across groundwater quality clusters. Of 51 BHs assessed in all three years, 34 (67%) were consistently functional and only 3 (6%) were consistently broken. There was a shift toward proactive payment for water over the course of the study in the control and high-salinity clusters. Payment mechanism, population served, presence of nearby alternative water sources, and groundwater quality cluster were not significant predictors of cross-sectional or longitudinal BH functionality. However, even in the high iron cluster, where water quality is poor and no structured payment mechanism for water exists, BHs are maintained, showing that they are important community resources.

Acute health risks to community hand-pumped groundwater supplies following Cyclone Idai flooding

This longitudinal flood-relief study assessed the impact of the March 2019 Cyclone Idai flood event on E. coli contamination of hand-pumped boreholes in Mulanje District, Malawi. It established the microbiological water-quality safety of 279 community supplies over three phases, each comprising water-quality survey, rehabilitation and treatment verification monitoring. Phase 1 contamination three months after Idai was moderate, but likely underestimated. Increased contamination in Phase 2 at 9 months and even greater in Phase 3, a year after Idai was surprising and concerning, with 40% of supplies then registering E. coli contamination and 20% of supplies deemed 'unsafe'. Without donor support for follow-up interventions, this would have been missed by a typical single-phase flood-relief activity. Contamination rebound at boreholes successfully treated months earlier signifies a systemic problem from persistent sources intensified by groundwater levels likely at a decade high. Problem extent in normal, or drier years is unknown due to absence of routine monitoring of water point E. coli in Malawi. Statistical analysis was not conclusive, but was indicative of damaged borehole infrastructure and increased near-borehole pit-latrine numbers being influential. Spatial analysis including groundwater flow-field definition (an overlooked sector opportunity) revealed 'hit-and-miss' contamination of safe and unsafe boreholes in proximity. Hydrogeological control was shown by increased contamination near flood-affected area and in more recent recharge groundwater otherwise of good quality. Pit latrines are presented as credible e-coli sources in a conceptual model accounting for heterogeneous borehole contamination, wet season influence and rebound behavior. Critical to establish are groundwater level - flow direction, hand-pump plume draw, multiple footprint latrine sources - 'skinny' plumes, borehole short-circuiting and fast natural pathway (e.g. fracture flow) and other source influences. Concerted WASH (Water, Sanitation and Hygiene) sector investment in research and policy driving national water point based E. coli monitoring programs are advocated.

Systems Thinking for Effective Interventions in Global Environmental Health

Environmental health risks such as household air pollution due to burning solid fuels, inadequate water, sanitation, and hygiene, and chemical pollution disproportionately affect the poorest and most marginalized populations. While billions of dollars and countless hours of research have been applied toward addressing these issues in both development and humanitarian contexts, many interventions fail to achieve or sustain desired outcomes over time. This pattern points to the perpetuation of linear thinking, despite the complex nature of environmental health within these contexts. There is a need and an opportunity to engage in critical reflection of the dominant paradigms in the global environmental health community, including how they affect decision-making and collective learning. These paradigms should be adapted as needed toward the integration of diverse perspectives and the uptake of systems thinking. Participatory modeling, complexity-aware monitoring, and virtual simulation modeling can help achieve this. Additionally, virtual simulation modeling is relatively inexpensive and can provide a low-stakes environment for testing interventions before implementation.

The importance of water quality in classifying basic water services: The case of Ethiopia, SDG6.1, and safe drinking water

Introduction

Sustainable Development Goal (SDG) 6 aims to coordinate international efforts toward “clean water and sanitation.” However, water contaminated with pathogenic bacteria or thermotolerant coliforms (TTC) will not achieve the SDG target of clean water in the lives of people around the world. The aim of this study is to assess the water quality parameters of basic water services in Amhara and Afar regions of Ethiopia as well as the role and importance of local managerial committees in ensuring basic water functionality.

Methods

This mixed methods research, conducted in January-June 2019, sampled 22 districts from food-insecure areas in the Amhara and Afar regions of Ethiopia. From the 22 districts, which represent nearly one third of all districts in each region, 111 water services classified as “basic” were randomly selected. For each selected water service, research included: water quality sample testing, visual observation of water services, interviews and focus group discussions with the associated water managerial committee members. Descriptive statistics frequency, percent, mean, median, standard deviations, normal tables, cross-tables and graphs are used to present the data.

Results

Although the international water standard for thermotolerant coliform (TTC) levels is 0 CFU/100ml, in our sample of 111 water services, the maximum TTC counts were 71 CFU/100 ml and the mean was 4 CFU/100 ml. Thermotolerant coliform counts were above the permissible standard values for nearly 40% (n = 111) of the basic water services. TTC was detected in 44 (39.64%) (n = 111) basic water services. Of these, 38 (34.23%) were operationally functional while 6 (5.41%) were not functional. Approximately one third of the basic water services sampled, deemed “functional” by international standards, do not provide potable water due to thermotolerant coliform (TTC) levels.

Conclusion

Our findings from the Amhara and Afar regions of Ethiopia demonstrate that water quality parameters are not currently considered in classifying basic water services. This suggests that international efforts to address SDG 6 should incorporate water quality as a key parameter to better track international progress toward “clean water and sanitation” efforts. We discuss two potential pathways for stronger inclusion of water quality parameters in international definitions: (1) to mandate water quality within “functional” and “non-functional” definitions or (2) to add a ladder rung titled “safe basic water services” to the international drinking water ladder. Our findings from Ethiopia suggest that additional research should be undertaken in development contexts to assess whether or not “functional” basic water services provide safe drinking water to users.

Factors associated with water quality, sanitation, and hygiene in rural schools in 14 low- and middle-income countries

Improving access to water, sanitation, and hygiene (WaSH) and menstrual hygiene management (MHM) in schools is important to achieve Sustainable Development Goals (SDGs) 3 and 6. Inadequate WaSH and MHM in schools adversely affect student health and educational performance, as well as teacher satisfaction. However, there is little evidence describing factors associated with WaSH services and MHM in schools. We conducted 2690 surveys and collected 1946 water samples at randomly selected schools in rural areas of 14 low- and middle-income countries (LMICs). We developed multilevel mixed-effects logistic regression models to identify factors associated with basic water services, water quality, basic sanitation facilities, basic handwashing facilities, and availability of MHM materials. We found that 51% of schools had at least a basic, on-premises water service. Twenty-eight percent of schools had at least basic sanitation services, 12% had at least a basic handwashing facility, and 26% had MHM materials available. Four percent of schools had all basic WaSH services. Half (52%) of schools had drinking water compliant with the WHO guideline value for E. coli. In regression models, we found that schools that did not share their water point with a community, had a parent-teacher association that supported WaSH, or had support from an external WaSH program were more likely to have access to basic, continuous, on-premises water service versus worse access. Schools with an on-premises water point, water available on the day of survey, a health club, or handwashing stations near toilets were more likely to have a basic sanitation service versus a lower service. Schools with limited or basic sanitation, health clubs, an MHM curriculum, a designated MHM focal person, or school funds for WaSH were more likely to have MHM materials. We conclude that improved institutional management and external support, accountability mechanisms, and enhanced training and hygiene curriculum will support sustained WaSH service delivery in schools in LMICs.

WaSH CQI: Applying continuous quality improvement methods to water service delivery in four districts of rural northern Ghana

Continuous, safely managed water is critical to health and development, but rural service delivery faces complex challenges in low- and middle-income countries (LMICs). We report the first application of continuous quality improvement (CQI) methods to improve the microbial quality of household water for consumption (HWC) and the functionality of water sources in four rural districts of northern Ghana. We further report on the impacts of interventions developed through these methods. A local CQI team was formed and trained in CQI methods. Baseline data were collected and analyzed to identify determinants of service delivery problems and microbial safety. The CQI team randomized communities, developed an improvement package, iteratively piloted it in intervention communities, and used uptake survey data to refine the package. The final improvement package comprised safe water storage containers, refresher training for community WaSH committees and replacement of missing maintenance tools. This package significantly reduced contamination of HWC (p<0.01), and significant reduction in contamination persisted two years after implementation. Repair times in both intervention and control arms decreased relative to baseline (p<0.05), but differences between intervention and control arms were not significant at endline. Further work is needed to build on the gains in household water quality observed in this work, sustain and scale these improvements, and explore applications of CQI to other aspects of water supply and sanitation.

Climate adaptation for rural water and sanitation systems in the Solomon Islands: A community scale systems model for decision support

Delivering water and sanitation services are challenging in data poor rural settings in developing countries. In this paper we develop a Bayesian Belief Network model that supports decision making to increase the availability of safe drinking water in five flood-prone rural communities in the Solomon Islands. We collected quantitative household survey data and qualitative cultural and environmental knowledge through community focus group discussions. We combined these data to develop our model, which simulates the state of eight water sources and ten sanitation types and how they are affected by season and extreme events. We identify how climate and current practices can threaten the availability of drinking water for remote communities. Modelling of climate and intervention scenarios indicate that water security could be best enhanced through increased rainwater harvesting (assuming proper installation and maintenance). These findings highlight how a systems model can identify links between and improve understanding of water and sanitation, community behaviour, and the impacts of extreme events. The resultant BBN provides a tool for decision support to enhance opportunities for climate resilient water and sanitation service provision.

Anomaly Detection System for Water Networks in Northern Ethiopia Using Bayesian Inference

For billions of people living in remote and rural communities in the developing countries, small water systems are the only source of clean drinking water. Due to the rural nature of such water systems, site visits may occur infrequently. This means broken water systems can remain in a malfunctioning state for months, forcing communities to return to drinking unsafe water. In this work, we present a novel two-level anomaly detection system aimed to detect malfunctioning remote sensored water hand-pumps, allowing for a proactive approach to pump maintenance. To detect anomalies, we need a model of normal water usage behavior first. We train a multilevel probabilistic model of normal usage using approximate variational Bayesian inference to obtain a conditional probability distribution over the hourly water usage data. We then use this conditional distribution to construct a level-1 scoring function for each hourly water observation and a level-2 scoring function for each pump. Probabilistic models and Bayesian inference collectively were chosen for their ability to capture the high temporal variability in the water usage data at the individual pump level as well as their ability to estimate interpretable model parameters. Experimental results in this work have demonstrated that the pump scoring function is able to detect malfunctioning sensors as well as a change in water usage behavior allowing for a more responsive and proactive pump system maintenance.

Data-driven Bayesian network modelling to explore the relationships between SDG 6 and the 2030 Agenda

The Sustainable Development Goals (SDGs) are presented as integrated and indivisible. Therefore, for monitoring purposes, conventional indicator-based frameworks need to be combined with approaches that capture and describe the links and interdependencies between the Goals and their targets. In this study, we propose a data-driven Bayesian network (BN) approach to identify and interpret SDGs interlinkages. We focus our analysis on the interlinkages of SDG 6, related to water and sanitation, across the whole 2030 Agenda, using SDG global available data corresponding to 179 countries, 16 goals, 28 targets and 44 indicators. To analyze and validate the BN results, we first demonstrate the robustness of the BN approach in identifying indicator relationships (i.e. consistent results throughout different country sample sizes). Second, we show the coherency of the results by comparing them with an exhaustive study developed by UN-Water. As an added value, our data-driven approach provides further interlinkages, which are contrasted against the existing literature. We conclude that the approach adopted is useful to accommodate a thorough analysis and interpretation of the complexities and interdependencies of the SDGs.

Comparative performance of rural water supplies during drought

As rural African communities experience more frequent and extreme droughts, it is increasingly important that water supplies are climate resilient. Using a unique temporal dataset we explore rural water supply (n = 5196) performance during the 2015-16 drought in Ethiopia. Mean functionality ranged from 60% for motorised boreholes to 75% for hand-pumped boreholes. Real-time monitoring and responsive operation and maintenance led to rapid increases in functionality of hand-pumped and, to a lesser extent, motorised boreholes. Increased demand was placed on motorised boreholes in lowland areas as springs, hand-dug-wells and open sources failed. Most users travelled >1 h to access motorised boreholes but <30 min, increasing to 30-60 mins, for hand-pumped boreholes. Boreholes accessing deep (>30 m) groundwater performed best during the drought. Prioritising access to groundwater via multiple improved sources and a portfolio of technologies, such as hand-pumped and motorised boreholes, supported by responsive and proactive operation and maintenance, increases rural water supply resilience.

Evaluating the Level of the Household Water Service Provided by a Private Water Enterprise in Ghana

Innovative service delivery models are attempting to more consistently provide clean water to communities in developing countries. It is imperative that these approaches be evaluated for their performance in these contexts while understating potential consequences. A private service delivery model in Ghana utilizing solar-powered water treatment, circuit rider principles, pre-paid metering, and a district-wide approach was assessed for three years. A quasi-experimental design used key informant surveys, household surveys, and water quality testing to investigate the service received by households under various management schemes. Service indicators were compared using logistic regression analysis. Private customers were shown to have significantly improved quality, annual reliability, and satisfaction ratings (p < 0.05) compared with control households, while maintaining the quantity of water collected. However, private customers were more reliant upon multiple water sources to meet domestic needs and suffered from lower affordability scores. About 38% of households used private water services, with no significant relationship with socioeconomic class. It is important for policy-makers and implementers to understand that some people will be unwilling or unable to take advantage of this model, and a transition from free improved sources to paid piped schemes will likely require a period of supporting both systems in order to reach everyone.

Understanding Rural Water Services as a Complex System: An Assessment of Key Factors as Potential Leverage Points for Improved Service Sustainability

Rural water supply services worldwide consistently fail to deliver full public health impacts as intended due to a low service sustainability. This failure is increasingly attributed to weak local systems composed of social, financial and environmental factors. Current approaches in the water, sanitation and hygiene (WASH) sector for understanding and improving these systems typically focus on the strength and capacity of these factors, but not the interactions between them. We contend that these approaches overlook the inherent complexity and context-specific nature of each local system. To assess this complexity, we conducted four participatory factor mapping workshops with local stakeholders across multiple rural water contexts to identify the factors and interactions that support service sustainability. We then evaluate the potential for factors to act as strategic leverage points based on influence, dependence and feedback metrics that arise from their interactions with other factors. We find that while participants across the contexts tend to identify a common set of factors, the interactions amongst those factors and their individual ability to influence service sustainability varies considerably across contexts. These findings suggest that a more intentional focus on factor interactions in WASH systems could lead to more effective strategies for improving service sustainability.

System Approaches to Water, Sanitation, and Hygiene: A Systematic Literature Review

Endemic issues of sustainability in the water, sanitation, and hygiene (WASH) sector have led to the rapid expansion of ‘system approaches’ for assessing the multitude of interconnected factors that affect WASH outcomes. However, the sector lacks a systematic analysis and characterization of the knowledge base for systems approaches, in particular how and where they are being implemented and what outcomes have resulted from their application. To address this need, we conducted a wide-ranging systematic literature review of systems approaches for WASH across peer-reviewed, grey, and organizational literature. Our results show a myriad of methods, scopes, and applications within the sector, but an inadequate level of information in the literature to evaluate the utility and efficacy of systems approaches for improving WASH service sustainability. Based on this analysis, we propose four recommendations for improving the evidence base including: diversifying methods that explicitly evaluate interconnections between factors within WASH systems; expanding geopolitical applications; improving reporting on resources required to implement given approaches; and enhancing documentation of effects of systems approaches on WASH services. Overall, these findings provide a robust survey of the existing landscape of systems approaches for WASH and propose a path for future research in this emerging field.

Reflecting SDG 6.1 in Rural Water Supply Tariffs: Considering ‘Affordability’ Versus ‘Operations and Maintenance Costs’ in Malawi

Local tariffs in the form of household contributions are the primary financial mechanism to fund the maintenance of rural water supplies in Malawi. An investigation was conducted into the tariffs set by rural service providers to sustain drilled boreholes equipped with Afridev handpumps. A binary logistic regression analysis identified significant explanatory variables for the most common identified considerations when setting tariffs, ‘affordability’ and ‘operations and maintenance (O&M) costs’. The results demonstrate tariffs collected less frequently and usage above the design limit of the Afridev (300 users) had lower odds of considering affordability and higher odds of considering O&M costs, than those collected per month and within the design limit. The results further suggest a recognition by service providers of an increased maintenance challenge. High usage, acquiring spare parts, and the collection of tariffs when repairs are required indicate an increased likelihood of considering O&M costs, conversely to considering affordability. The balance of affordability and sustainable maintenance is a perpetual challenge under decentralised service delivery. Investment into ongoing support and supply chains is required for the financial and operational requirements of water supply, to ensure payments for services does not prevent access to clean water at the local level and to achieve the 2030 agenda.

Applications of Bayesian Networks as Decision Support Tools for Water Resource Management under Climate Change and Socio-Economic Stressors: A Critical Appraisal

Bayesian networks (BNs) are widely implemented as graphical decision support tools which use probability inferences to generate “what if?” and “which is best?” analyses of potential management options for water resource management, under climate change and socio-economic stressors. This paper presents a systematic quantitative literature review of applications of BNs for decision support in water resource management. The review quantifies to what extent different types of data (quantitative and/or qualitative) are used, to what extent optimization-based and/or scenario-based approaches are adopted for decision support, and to what extent different categories of adaptation measures are evaluated. Most reviewed publications applied scenario-based approaches (68%) to evaluate the performance of management measures, whilst relatively few studies (18%) applied optimization-based approaches to optimize management measures. Institutional and social measures (62%) were mostly applied to the management of water-related concerns, followed by technological and engineered measures (47%), and ecosystem-based measures (37%). There was no significant difference in the use of quantitative and/or qualitative data across different decision support approaches (p = 0.54), or in the evaluation of different categories of management measures (p = 0.25). However, there was significant dependence (p = 0.076) between the types of management measure(s) evaluated, and the decision support approaches used for that evaluation. The potential and limitations of BN applications as decision support systems are discussed along with solutions and recommendations, thereby further facilitating the application of this promising decision support tool for future research priorities and challenges surrounding uncertain and complex water resource systems driven by multiple interactions amongst climatic and non-climatic changes.

Bayesian network modelling of hierarchical composite indicators

The water, sanitation and hygiene (WaSH) sector has witnessed the development of multiple tools for multidimensional monitoring. Hierarchical and composite indicator (CI)-based conceptual frameworks provide one illustrative example. However, this approach does not address the existing interrelationship of the indicators they comprise. Bayesian networks (BNs) are increasingly being exploited to assess WaSH issues and to support planning and decision-making processes. Here, we aim to evaluate the validity, reliability and feasibility of BNs in replicating an existing CI-based conceptual framework. We adopt a data-driven approach and propose a semi-automatic methodology. As a pilot study, we used the regional monitoring initiative Rural Water Supply and Sanitation Information System (SIASAR). Data from two different countries are processed and analysed to calibrate and validate the model and the method. The major findings show: i) the model inference capacity improves when structure is provided to the networks (according to the CI-based framework); ii) key components that explain a pre-defined objective variable are reduced and quantified (implying important advantages in data updating); and iii) interlinkages among these components can be identified (which might enhance multi- and trans-disciplinary actions). We conclude that BNs accurately replicate the CI-based conceptual framework, with great potential for a wider application.

Cost-benefit analysis of water source improvements through borehole drilling or rehabilitation: an empirical study based on a cluster randomized controlled trial in the Volta Region, Ghana

Background: Despite remarkable progress in water coverage improvements, diseases associated with poor water remain a considerable public health problem in many developing countries.

Objective: We aimed to estimate the costs and benefits of drilling or rehabilitating boreholes with handpumps in resource-poor settings and hard-to-reach areas.

Methods: Diarrheal reduction in the population was predicted on the basis of the empirical findings from a cluster randomized controlled trial. The full investment and estimated annual running costs were used to calculate the intervention costs. Direct economic benefits of avoiding child diarrheal disease, indirect economic benefits related to health improvements, and non-health benefits related to water improvement were estimated. One-way and multi-way sensitivity analyses were performed to determine the robustness of the findings.

Results: Our analysis found that the return on a US$ 1 investment was US$ 9.4 for borehole drilling and US$ 14.1 for borehole rehabilitation. Time savings were the main contributor, accounting for 68% of the benefits, followed by the economic benefits of averted child deaths, which contributed to 15% of the benefits. The sensitivity analyses suggested that improving water sources yields high returns under all circumstances, and that borehole rehabilitation is more efficient than borehole drilling.

Conclusion: This study explicitly justifies increased investment in water improvement in rural areas and demonstrates the high returns of rehabilitating boreholes. We hope that this study will be used as evidence for informing the policy decisions of governments or international agencies regarding further investments in improved water coverage in rural areas and the selection of appropriately designed interventions.

Understanding the effect of socio-economic characteristics and psychosocial factors on household water treatment practices in rural Nepal using Bayesian Belief Networks

About 20 Million (73%) people in Nepal still do not have access to safely managed drinking water service and 22 million (79%) do not treat their drinking water before consumption. Few studies have addressed the combination of socio-economic characteristics and psychosocial factors that explain such behaviour in a probabilistic manner. In this paper we present a novel approach to assess the usage of household water treatment (HWT), using data from 451 households in mid and far-western rural Nepal. We developed a Bayesian belief network model that integrates socio-economic characteristics and five psychosocial factors. The socio-economic characteristics of households included presence of young children, having been exposed to HWT promotion in the past, level of education, type of water source used, access to technology and wealth level. The five psychosocial factors capture households' perceptions of incidence and severity of water-borne infections, attitudes towards the impact of poor water quality on health, water treatment norms and the knowledge level for performing HWT. We found that the adoption of technology was influenced by the psychosocial factors norms, followed by the knowledge level for operating the technology. Education, wealth level, and being exposed to the promotion of HWT were the most influential socio-economic characteristics. Interestingly, households who were connected to a piped water scheme have a higher probability of HWT adoption compared to other types of water sources. The scenario analysis revealed that interventions that only target single socio-economic characteristics do not effectively boost the probability of HWT practice. However, interventions addressing several socio-economic characteristics increase the probability of HWT adoption among the target groups.

Factors Associated with Water Service Continuity for the Rural Populations of Bangladesh, Pakistan, Ethiopia, and Mozambique

Access to continuous water supply is key for improving health and economic outcomes in rural areas of low- and middle-income countries, but the factors associated with continuous water access in these areas have not been well-characterized. We surveyed 4786 households for evidence of technical, financial, institutional, social, and environmental predictors of rural water service continuity (WSC), defined as the percentage of the year that water is available from a source. Multiple imputed fractional logistic regression models that account for the survey design were used to assess operational risks to WSC for piped supply, tube wells, boreholes, springs, dug wells, and surface water for the rural populations of Bangladesh, Pakistan, Ethiopia, and Mozambique. Multivariable regressions indicate that households using multiple water sources were associated with lower WSC in Bangladesh, Pakistan, and Mozambique. However, the possibility must be considered that households may use more than one water source because services are intermittent. Water scarcity and drought were largely unassociated with WSC, suggesting that service interruptions may not be primarily due to physical water resource constraints. Consistent findings across countries may have broader relevance for meeting established targets for service availability as well as human health.

An assessment of the replicability of a standard and modified sanitary risk protocol for groundwater sources in Greater Accra

Sanitary risk inspection, the systematic observation of contamination hazards, is often used to manage safety of water sources such as wells and boreholes. However, the replicability of sanitary risk inspections undertaken by different observers has not been studied. This study aimed to assess the replicability of sanitary risk inspections by two different observers in urban and peri-urban neighbourhoods of Greater Accra, Ghana. Two observers independently used a standard protocol to record contamination hazards around 62 groundwater sources, additionally recording urban-specific hazards such as damaged sewage pipes via a modified protocol. We calculated risk scores as the proportion of hazards observed at each source, separately for each observer. Linn's concordance correlation coefficient indicated very high agreement between the two observers' risk scores (n = 62; c = 0.949, 95% confidence limits 0.917-0.968). However, risk scores from urban-specific observations were uncorrelated with those from the standard protocol (r = 0.11, p = 0.41 for observer 1; r = 0.16, p = 0.22 for observer 2). Ours is the first study of replicability of sanitary risk observations and suggests high inter-observer agreement. However, urban contamination hazards were not captured using the standard protocol. In the future, assessment of inter-observer agreement and observations of urban-specific hazards could be incorporated into nationwide or regional sanitary risk surveys.

Improving Monitoring and Water Point Functionality in Rural Ethiopia

This study examines the patterns, trends, and factors associated with functional community water points in rural Ethiopia and identifies potential areas of improvement in terms of practitioner response to functionality and functionality monitoring. It was part of an integrated WaSH and nutrition program implemented by UNICEF Ethiopia and the Government of Ethiopia. Cross-sectional surveys were conducted to collect WaSH-related data in communities and WaSH committees from four community-based nutrition (CBN) program groupings in Ethiopia. In all areas, CBN was implemented, but only in less than half of the areas, a WaSH intervention was implemented. Seventy-three representative kebeles, comprising 30 intervention and 43 control communities, were surveyed. Two structured surveys were conducted. The ‘community survey’ addressed community water points and their functionality and the main areas for improvement needed. The ‘WaSH committee survey’ investigated technical and management aspects of water points and their functionality. Data were analyzed using bivariate regression to identify community characteristics and management practices associated with functionality of water points and explore opportunities to improve water point functionality and monitoring. In the communities, 65% of water points were functional. Eighty percent of communities had a WaSH committee. The WaSH committee members reported that the most used water point types were protected dug wells and boreholes, and that 80% of their water points were functional. India Mark II pumps were more likely to be functional and communities with longer established WaSH committees had higher water point functionality. Communities suggested that the key factors for water point sustainability were improving water quality and water pressure, reducing water collection time, and speeding up repair times. Taking community leaders’ ‘priority lists’ into consideration offers sustainable opportunities for demand-driven, adaptive and targeted design and implementation of rural water supply programs, which, if they include the grassroots level as key informants and actors of change, can succeed. Interventions should integrate the ‘voice’ of the community, the WaSH committees, and other stakeholders and thereby facilitate transdisciplinary approaches at different stages of program management (planning, monitoring, and evaluation). This would help closing the knowledge to action gap and improve policy, programming, practice, and service delivery.

Dry Pipes: Associations between Utility Performance and Intermittent Piped Water Supply in Low and Middle Income Countries

Intermittent piped water supply impacts at least one billion people around the globe. Given the environmental and public health implications of poor water supply, there is a strong practical need to understand how and why intermittent supply occurs, and what strategies may be used to move utilities towards the provision of continuous water supply. Leveraging data from the International Benchmarking Network for Water and Sanitation Utilities, we discover 42 variables that have statistically significant associations with intermittent water supply at the utility scale across 2115 utilities. We categorized these under the following themes: Physical infrastructure system scale, coverage, consumer type, public water points, financial, and non-revenue water and metering. This research identifies globally relevant factors with high potential for cross-context, scaled impact. In addition, using insights from the analysis, we provide empirically grounded recommendations and data needs for improved global indicators of utility performance related to intermittent supply.

Seasonality, water use and community management of water systems in rural settings: Qualitative evidence from Ghana, Kenya, and Zambia

The sustainability of rural, community-managed water systems in sub-Saharan Africa depends in part on the ability of local water committees to repair breakdowns and carry out the operation and maintenance (O&M) of the system. Much of sub-Saharan Africa has two distinct seasons that affect the availability of water sources and how people use water. Little is known about how seasonality affects water system management. This qualitative study is based on 320 interviews and focus group discussions and examines the effects of season on community water use and management in Ghana, Kenya and Zambia. Participants revealed that seasonality affects water availability, water system breakdowns, resource mobilization, committee activity, and external support availability. In the rainy season, participants typically reported spending less time and money on water collection because rainwater harvesting and seasonal streams, ponds, wells and reservoirs are available. In the dry season, people used improved groundwater sources more often and spent more money and time collecting water. Although seasonal changes in household water demand and use have been examined previously, our data suggest that seasonality also influences community management through differential water system use, system breakdowns and management characteristics. We found that water committees generally have less money, time and access to external support during the rainy season, making them less able to carry out O&M. Our results suggest that community engagement should take place over a long period of time so that seasonal patterns in management can be understood and incorporated into water committee training. External support actors should make a more targeted effort to understand the cultural and economic patterns in a community in order to train committees with appropriate management strategies.

Risk factors associated with rural water supply failure: A 30-year retrospective study of handpumps on the south coast of Kenya

An improved understanding of failure risks for water supplies in rural sub-Saharan Africa will be critical to achieving the global goal of safe water for all by 2030. In the absence of longitudinal biophysical and operational data, investigations into water point failure risk factors have to date been limited to cross-sectional research designs. This retrospective cohort study applies survival analysis to identify factors that predict failure risks for handpumps installed on boreholes along the south coast of Kenya from the 1980s. The analysis is based on a unique dataset linking attributes of >300 water points at the time of installation with their operational lifespan over the following decades. Cox proportional hazards and accelerated failure time models suggest water point failure risks are higher and lifespans are shorter when water supplied is more saline, static water level is deeper, and groundwater is pumped from an unconsolidated sand aquifer. The risk of failure also appears to grow as distance to spare part suppliers increases. To bolster the sustainability of rural water services and ensure no community is left behind, post-construction support mechanisms will need to mitigate heterogeneous environmental and geographical challenges. Further studies are needed to better understand the causal pathways that underlie these risk factors in order to inform policies and practices that ensure water services are sustained even where unfavourable conditions prevail.

A categorization of water system breakdowns: Evidence from Liberia, Nigeria, Tanzania, and Uganda

In rural sub-Saharan Africa, one in three handpumps are non-functional at any time. While there is some evidence describing factors associated with non-functional water systems, there is little evidence describing the categories of water system breakdowns that commonly occur. Insufficient water availability from broken down systems can force people to use unimproved water sources, which undermines the health benefits of an improved water source. We categorized common water system breakdowns using quantitative and qualitative monitoring data from Liberia, Nigeria, Tanzania, and Uganda (each N>3600 water systems) and examined how breakdown category varies by water system type and management characteristics. Specific broken parts were mentioned more frequently than all other reasons for breakdown; hardware parts frequently found at fault for breakdown were aprons (Liberia), pipes (Tanzania and Uganda), taps/spouts (Tanzania and Uganda), and lift mechanisms (Nigeria). Statistically significant differences in breakdown category were identified based on system type, age, management type, and fee collection type. Categorization can help to identify common reasons for water system breakdown. The analysis of these data can be used to develop improved monitoring instruments to inform actors of different breakdown types and provide reasons for system non-functionality. Improved monitoring instruments would enable actors to target appropriate resources to address specific breakdowns likely to arise based on system type and management characteristics in order to inform improved implementation of and post-construction support for water systems in sub-Saharan Africa.

Factors Influencing Water System Functionality in Nigeria and Tanzania: A Regression and Bayesian Network Analysis

Sufficient, safe, and continuously available water services are important for human development and health yet many water systems in low- and middle-income countries are nonfunctional. Monitoring data were analyzed using regression and Bayesian networks (BNs) to explore factors influencing the functionality of 82 503 water systems in Nigeria and Tanzania. Functionality varied by system type. In Tanzania, Nira handpumps were more functional than Afridev and India Mark II handpumps. Higher functionality was associated with fee collection in Nigeria. In Tanzania, functionality was higher if fees were collected monthly rather than in response to system breakdown. Systems in Nigeria were more likely to be functional if they were used for both human and livestock consumption. In Tanzania, systems managed by private operators were more functional than community-managed systems. The BNs found strong dependencies between functionality and system type and administrative unit (e.g., district). The BNs predicted functionality increased from 68% to 89% in Nigeria and from 53% to 68% in Tanzania when best observed conditions were in place. Improvements to water system monitoring and analysis of monitoring data with different modeling techniques may be useful for identifying water service improvement opportunities and informing evidence-based decision-making for better management, policy, programming, and practice.

Water system hardware and management rehabilitation: Qualitative evidence from Ghana, Kenya, and Zambia

BACKGROUND

Sufficient, safe, continuously available drinking water is important for human health and development, yet one in three handpumps in sub-Saharan Africa are non-functional at any given time. Community management, coupled with access to external technical expertise and spare parts, is a widely promoted model for rural water supply management. However, there is limited evidence describing how community management can address common hardware and management failures of rural water systems in sub-Saharan Africa.

METHODS

We identified hardware and management rehabilitation pathways using qualitative data from 267 interviews and 57 focus group discussions in Ghana, Kenya, and Zambia. Study participants were water committee members, community members, and local leaders in 18 communities (six in each study country) with water systems managed by a water committee and supported by World Vision (WV), an international non-governmental organization (NGO). Government, WV or private sector employees engaged in supporting the water systems were also interviewed. Inductive analysis was used to allow for pathways to emerge from the data, based on the perspectives and experiences of study participants.

RESULTS

Four hardware rehabilitation pathways were identified, based on the types of support used in rehabilitation. Types of support were differentiated as community or external. External support includes financial and/or technical support from government or WV employees. Community actor understanding of who to contact when a hardware breakdown occurs and easy access to technical experts were consistent reasons for rapid rehabilitation for all hardware rehabilitation pathways. Three management rehabilitation pathways were identified. All require the involvement of community leaders and were best carried out when the action was participatory.

CONCLUSIONS

The rehabilitation pathways show how available resources can be leveraged to restore hardware breakdowns and management failures for rural water systems in sub-Saharan Africa. Governments, NGOs, and private sector actors can better build capacity of community actors by focusing on their role in rehabilitating hardware and management and to ensure that they are able to quickly contact external support actors when needed for rehabilitation. Using qualitative and participatory methods allows for insight into rapid rehabilitation of hardware and management.

Improving water, sanitation, and hygiene in schools in Indonesia: A cross-sectional assessment on sustaining infrastructural and behavioral interventions

Water, sanitation, and hygiene (WASH) in schools are important for child health, development, and educational performance; yet coverage in Indonesian schools remains low. To address this deficiency, UNICEF and partners conducted a WASH intervention in 450 schools across three provinces in Indonesia. A survey evaluating the sustainability of infrastructure and behavioral interventions in comparison to control districts was conducted one year after completion of the intervention. The survey data were also compared with national government data to assess the suitability of government data to report progress on the Sustainable Development Goals (SDGs). Logistic regression was used to explore associations between WASH conditions and behaviors. Intervention schools were more likely to have handwashing stations with soap and water. In multivariable analyses, schools with a toilet operation and maintenance fund were more likely to have functional toilets. Students who learn hygiene skills from their teachers were less likely to defecate openly, more likely to share hygiene knowledge with their parents, and more likely to wash their hands. Survey data were comparable with government data, suggesting that Indonesian government monitoring may be a reliable source of data to measure progress on the SDGs. This research generates important policy and practice findings for scaling up and sustaining WASH in schools and may help improve WASH in schools programs in other low-resource contexts.

Indicators of improved water access in the context of schistosomiasis transmission in rural Eastern Region, Ghana

Populations with poor access to water, sanitation and hygiene (WASH) infrastructure are disproportionately affected by the neglected tropical diseases (NTDs). As a result, WASH has gained increasing prominence in integrated control and elimination of NTDs, including schistosomiasis. In order to identify underserved populations, relevant measures of access to WASH infrastructure at sub-national or local levels are needed. We conducted a field survey of all public water sources in 74 rural communities in the Eastern Region of Ghana and computed indicators of water access using two methods: one based on the design capacity and another on the spatial distribution of water sources. The spatial method was applied to improved and surface water sources. According to the spatial method, improved water sources in the study area were well-distributed within communities with 95% (CI_95%: 91, 98) of the population having access within 500m when all, and 87% (CI_95%: 81, 93) when only functional water sources were considered. According to the design capacity-based method, indicator values were lower: 63% (CI_95%: 57, 69) for all and 49% (CI_95%: 43, 55) for only functional sources. Surface water access was substantial with 62% (CI_95%: 54, 71) of the population located within 500m of a perennial surface water source. A negative relationship was observed between functional improved water access and surface water access within 300m. In this context, perceived water quality of the improved sources was also important, with a 17% increase in surface water access in towns with one reported water quality problem as compared to towns with no problems. Our study offers a potential methodology to use water point mapping data to identify communities in need of improved water access to achieve schistosomiasis risk reduction.

Evaluating Mobile Survey Tools (MSTs) for Field-Level Monitoring and Data Collection: Development of a Novel Evaluation Framework, and Application to MSTs for Rural Water and Sanitation Monitoring

Information and communications technologies (ICTs) such as mobile survey tools (MSTs) can facilitate field-level data collection to drive improvements in national and international development programs. MSTs allow users to gather and transmit field data in real time, standardize data storage and management, automate routine analyses, and visualize data. Dozens of diverse MST options are available, and users may struggle to select suitable options. We developed a systematic MST Evaluation Framework (EF), based on International Organization for Standardization/International Electrotechnical Commission (ISO/IEC) software quality modeling standards, to objectively assess MSTs and assist program implementers in identifying suitable MST options. The EF is applicable to MSTs for a broad variety of applications. We also conducted an MST user survey to elucidate needs and priorities of current MST users. Finally, the EF was used to assess seven MSTs currently used for water and sanitation monitoring, as a validation exercise. The results suggest that the EF is a promising method for evaluating MSTs.

Indicators for Monitoring Water, Sanitation, and Hygiene: A Systematic Review of Indicator Selection Methods

Monitoring water, sanitation, and hygiene (WaSH) is important to track progress, improve accountability, and demonstrate impacts of efforts to improve conditions and services, especially in low- and middle-income countries. Indicator selection methods enable robust monitoring of WaSH projects and conditions. However, selection methods are not always used and there are no commonly-used methods for selecting WaSH indicators. To address this gap, we conducted a systematic review of indicator selection methods used in WaSH-related fields. We present a summary of indicator selection methods for environment, international development, and water. We identified six methodological stages for selecting indicators for WaSH: define the purpose and scope; select a conceptual framework; search for candidate indicators; determine selection criteria; score indicators against criteria; and select a final suite of indicators. This summary of indicator selection methods provides a foundation for the critical assessment of existing methods. It can be used to inform future efforts to construct indicator sets in WaSH and related fields.