A Bayesian Spatial Survival Model for Analyzing Breast Cancer Survival in Lagos State, Nigeria

Elias Temidayo Mayowa; Olopha Paul Omoh

doi:10.70382/ajsitr.v10i9.076

A Bayesian Spatial Survival Model for Analyzing Breast Cancer Survival in Lagos State, Nigeria

Authors

Elias Temidayo Mayowa Department of Statistics, The Federal University of Technology, Akure, Nigeria Author
Olopha Paul Omoh Department of Statistics, The Federal University of Technology, Akure, Nigeria Author

Abstract

A Bayesian spatial survival model was employed to assess geographical disparities and influential risk factors using retrospective data from oncology centers between 2019 and 2025. Central Local Government Areas (LGAs) such as Ikeja, Surulere, Oshodi-Isolo, and Mushin showed positive spatial effects, indicating that survival was higher than expected after adjusting for individual risk factors. The variation of surrounding regions in the Local Government Areas including Ibeju-Lekki, Epe, and parts of Eti-Osa recorded strongly negative spatial effects, suggesting substantially poorer survival not explained by observed covariates.

Keywords:

Bayesian, Spatial Survival Model, Breast Cancer, Lagos State, Epidemiology, Survival Analysis

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DOI: 10.70382/ajsitr.v10i9.076

Views: 847

Downloads: 145

Published

2026-01-31

Issue

VOL. 10 2025

Section

Articles

License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Elias Temidayo Mayowa, & Olopha Paul Omoh. (2026). A Bayesian Spatial Survival Model for Analyzing Breast Cancer Survival in Lagos State, Nigeria. Journal of Science Innovation and Technology Research, 10(9). https://doi.org/10.70382/ajsitr.v10i9.076