Rasheed A. Adeyemi|Temesgen Zewotir|Shaun Ramroop
Semiparametric Multinomial Ordinal Model to Analyze Spatial Patterns of Child Birth Weight in Nigeria
University of KwaZulu-Natal|University of KwaZulu-Natal|University of KwaZulu-Natal
background birth weight important health parameter obstetricians gynaecologists good health indicator childbearing mother strong predictor infant morbidity mortality methods paper utilizes data 28647 children born 20032008 obtained 2008 nigeria demographic health survey ndhs simple epidemiological convenience occurrence newborn weight intuitively considered categorical nature thresholds put continuous scale survey reporting mothers frequently estimate infants birth weight make classification ordinal category low normal large instead actual birth weight study fits multinomial regression model analyze relationships polytomous response different kind covariates unified manner estimate fixed effects biosocial covariates parametrically nonlinear effect modeled using pspline spatial component modeled using conditional autoregressive error penalized maximum likelihood estimation performed estimate model parameters results found risk factors positively associated low birth weight include multiple birth short birth interval death sibling childhood diarrhea fever mothers smoking firewooddung cooking poor household results showed iron syrup supplementation antenatal attendance mother literacy household wealth significant association low probability low birth weight finding also showed spatial patterns captured underlying determinants produced probability predictive maps spatial residual effects conclusions addition statistical relevance method generated spatial maps identify highly endemic areas low birth weight assist government agency channel scarce health resources comprehensive approach institutes combination interventions improve overall health care women needed