Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/19371
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dc.contributor.authorAbdullahi, U.-
dc.contributor.authorIsah, A.-
dc.contributor.authorOlayemi, I. K.-
dc.contributor.authorAdeyemi, R.A.-
dc.date.accessioned2023-09-09T12:32:07Z-
dc.date.available2023-09-09T12:32:07Z-
dc.date.issued2023-04-08-
dc.identifier.citationAbdullahi et alen_US
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/19371-
dc.descriptionThe paper explored spatial structured models to analyse cervical cancer incidence in Nigeriaen_US
dc.description.abstractThis 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.en_US
dc.description.sponsorshipNoneen_US
dc.language.isoenen_US
dc.publisherAsian Journal of Probability and Statisticsen_US
dc.subjectHealth care areasen_US
dc.subjectfemaleen_US
dc.subjectbreast canceren_US
dc.subjectmortality data;en_US
dc.subjectintegrated nested Laplace approximationsen_US
dc.titleImpact of Two-level Spatial Structure Model in Spatio-temporal Hospitalization of Female Breast Cancer Patients in Nigeriaen_US
dc.typeArticleen_US
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