01729nas a2200229   4500000000100000008004100001653003600042653002300078653003700101653001300138653001000151100002000161700001400181700001500195700002000210245012900230856008700359300000900446490000800455520102300463022001301486       2018                            d10aWater sanitation hygiene (WaSH)10aWaSH poverty index10aObject oriented Bayesian Network10aPlanning10aKenya1 aGiné-Garriga R1 aRequejo D1 aMolina J L1 aPérez-Foguet A00aA novel planning approach for the water, sanitation and hygiene (WaSH) sector: The use of object-oriented bayesian networks.  uhttps://upcommons.upc.edu/bitstream/handle/2117/115984/novel_planning_preprint.pdf  a1-150 v1033 a<p>Conventional approaches to design and plan water, sanitation, and hygiene (WaSH) interventions are not suitable for capturing the increasing complexity of the context in which these services are delivered. Multidimensional tools are needed to unravel the links between access to basic services and the socio-economic drivers of poverty. This paper applies an object-oriented Bayesian network to reflect the main issues that determine access to WaSH services. A national Program in Kenya has been analyzed as initial case study. The main findings suggest that the proposed approach is able to accommodate local conditions and to represent an accurate reflection of the complexities of WaSH issues, incorporating the uncertainty intrinsic to service delivery processes. Results indicate those areas in which policy makers should prioritize efforts and resources. Similarly, the study shows the effects of sector interventions, as well as the foreseen impact of various scenarios related to the national Program.</p>
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