title: Joint modeling of Anaemia and Malaria in children under five in Nigeria.
abstract: 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.
authors.affiliation: Planning, Research and Statistics, National Agency for Food and Drug Administration and Control, Abuja, Nigeria; Visiting Professor of Statistics, Nasarawa State University, Keffi, Nigeria.
authors.forename: Samson B
authors.initials: SB
authors.lastname: Adebayo
authors.affiliation: Department of Statistics, Federal University of Technology, Akure, Nigeria. Electronic address: ezrascribe@yahoo.com.
authors.forename: Ezra
authors.initials: E
authors.lastname: Gayawan
authors.affiliation: Department of Statistics, Ludwig-Maximilians-University Munich, Munich, Germany.
authors.forename: Christian
authors.initials: C
authors.lastname: Heumann
authors.affiliation: Allianz Private Krankenversicherung, Unterföhring, Germany.
authors.forename: Christian
authors.initials: C
authors.lastname: Seiler
mesh_terms: D000740:Anemia / Q000453:epidemiology*; D002675:Child, Preschool; D015897:Comorbidity; D005260:Female; D006801:Humans; D007223:Infant; D008288:Malaria / Q000453:epidemiology*; D008297:Male; D009549:Nigeria / Q000453:epidemiology; D062211:Spatio-Temporal Analysis
keywords: Anaemia; Children’s morbidity; Geoadditive latent variable model; Malaria