Joint Spatial Modelling of Childhood Morbidity in West Africa Using a Distributional Bivariate Probit Model

Ezra Gayawan () and Funmilayo Adenike Fadiji ()
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Ezra Gayawan: Federal University of Technology
Funmilayo Adenike Fadiji: African Institute for Mathematical Sciences

Statistics in Biosciences, 2021, vol. 13, issue 1, No 4, 56-76

Abstract: Abstract Fever and cough are early symptoms of infectious and non-infectious diseases among children. They have been studied using different univariate regression techniques, but there is evidence that the two health outcomes are correlated. This study aims at jointly estimating the spatial variability in the levels of, and correlation between the two outcomes in multiple West African countries. We adopt a structured additive distributional biprobit model allowing for every parameter of the response distribution, in this case, means and correlation, to be simultaneously related to covariates. Results show that regions with huge burden of fever are also having burden of cough among children. In particular, there appears a tie in the pattern of the illnesses that transcends geographical boundaries particularly among regions of Ivory Coast, Burkina-Faso, Ghana and Mali. In addition, the correlations between the two outcomes are significant for children of rich households and those who possess mosquito bed nets.

Keywords: Biprobit; Distributional regression; West Africa; Bayesian method; Fever; Cough (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s12561-020-09282-3

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