The study employed household survey methods and techniques. Subsequent to the completion of data collection procedure, collected data were edited, coded, and entered in SPSS-21 for further descriptive and inferential analysis. The preliminary techniques which were utilized in the study to explore the nature of data and its suitability are descriptive analysis, which elaborates the basic feature, nature, and detailed insight into collected data and provides basic information regarding the suitability for further analysis. Confirmatory factor analysis was applied to confirm the most suitable indicators for further analysis such as structural equation modelling (SEM). The measurement of the model was examined to determine the appropriateness of loadings of all considered indicators. The study model is evaluated in order to affirm that items measure the construct they were supposed to measure, consequently ascertaining that the instrument used is reliable. Moreover, the SEM was applied to describe the configuration of a chain of interlinked dependent interactions and depict relationships among observed variables. Finally, mediation analysis was applied for testing the casual relationship where the independent variable directly affects the mediator variable and the mediator variable impacts the dependent variable. Mediation through bootstrapping approach was applied in the present study, which is considered slightly rigorous for estimating the mediation impacts of WASH on child health (CH) and SCD.