This paper utilises data from the Uganda Demographic and Health Survey in an attempt to expand the Mosley-Chen model to include social structural disruption (social disruption) factors influencing infant and child survival in developing countries. Several techniques are used in the data analysis stage including simple bivariate analysis, event history analysis using the discrete-time method, and logistic regression. The results revealed that a number of socio-economic factors play significant roles as determinants of infant and child survival, such as social disruption. This heightened risk has been found to provide sufficient effect in this regard to warrant consideration of social disruption as a competing hypothesis alongside the socio-economic and medical ones that have traditionally been associated with infant and child mortality reduction