A hierarchical Bayesian Belief Network model of household water treatment behaviour in a suburban area: A case study of Palu-Indonesia.

ABSTRACT: Understanding the determinants of household water treatment (HWT) behavior in developing countries is important to increase the rate of its regular use so that households can have safe water at home. This is especially so when the quality of the water source is not reliable. We present a hierarchical Bayesian Belief Network (BBN) model supported by statistical analysis to explore the influence of household's socio-economic characteristics (SECs) on the HWT behavior via household's psychological factors. The model uses eight SECs, such as mother's and father's education, wealth, and religion, and five RANAS psychological factors, i.e., risk, attitude, norms, ability, and self-regulation to analyse HWT behavior in a suburban area in Palu, Indonesia. Structured household interviews were condu

SUBMITTER: Daniel D 

PROVIDER: S-EPMC7647107 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature