Joint modeling of Anaemia and Malaria in children under five in Nigeria

Publication date: May 2016 Source:Spatial and Spatio-temporal Epidemiology, Volume 17 Author(s): Samson B. Adebayo, Ezra Gayawan, Christian Heumann, Christian Seiler Malaria and anaemia which jointly account for high proportion of morbidity and mortality among young children in developing countries have been individually studied using binary regression model. We adopt geoadditive latent variable model for binary/ordinal indicators to analyze the influence of variables of different types on the morbidity among young children in Nigeria. Latent variable models allow for the analysis of multidimensional response variables that reveal the indicator’s underlying relationship that are caused by the latent variables. We extend the structural model to a semi-parametric geoadditive model in order to quantify the joint spatial structure of morbidity from malaria and anaemia. Findings revealed substantial geographical variations and the generated maps can guide policy makers and donors on how to prudently utilize the scarce resources for designing more cost-effective interventions. Graphical abstract
Source: Spatial and Spatio-temporal Epidemiology - Category: Epidemiology Source Type: research