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Research Article Open access CC BY 4.0

Impact of Two-level Spatial Structure Model in Spatio-temporal Hospitalization of Female Breast Cancer Patients in Nigeria

U. Abdullahi, A. Isah, I. K. Olayemi, R. A. Adeyemi

Asian Journal of Probability and Statistics · pp. 33–45 · Published 8 Apr 2023

10.9734/ajpas/2023/v22i1475

Abstract

This paper investigated the impact of two-level spatial structure model in spatio-temporal hospitalization of female breast cancer in Nigerian Health-care areas and States. The objective is to measure the relative contribution of each of the model parameters. The model has been fitted using full Laplace approximation strategy to an observational hospital-based female breast cancer mortality data from 2009 to 2016. The study explained risk variations across health-care areas and State-levels. The results showed that the State-level captured higher risk than the health-care area-level (24.18% against 17.60%). Furthermore, assessing each health-care area performance, six (6) health-care areas with large population States showed higher risk. The study recommended o further research on the risk factors responsible for the significant high risk in these health-care areas.

Health care areas female breast cancer mortality data integrated nested Laplace approximations

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