Bayesian spatial survival modelling for dengue fever in Makassar, Indonesia

Thamrin, Sri Astuti and Aswi, Aswi and Ansariadi, Ansariadi and Jaya, Andi Kresna and Mengersen, Kerrie L. (2020) Bayesian spatial survival modelling for dengue fever in Makassar, Indonesia. Gaceta Sanitaria, 35. S59-S63. ISSN 0213-9111

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Official URL: https://www.sciencedirect.com/science/article/pii/...

Abstract

Objective: To understand the spatial pattern of dengue fever (DF) patients’ survival and investigated factors influencing DF patients’ survival. Method: ABayesianspatial survivalmethodvia a conditional autoregressive approach wasusedto analyze the factors that influence DF patients’ survival in 14 sub-districts from January 2015 to May 2017 in Makassar city, Indonesia. Bayesian spatial and a non-spatial model were compared by using deviance information criterion. Results: The spatial model was more suitable than a non-spatial model. Under the Bayesian spatial model, there was a substantive relationship between age, grade and DF patients’ survival time. Conclusions: The relative risk map and related factors of DF patients’ survival can indicate the health policy makers to give special attention to the high risk areas in order to faster and more targeted treatment.

Item Type: Article
Uncontrolled Keywords: Conditional autoregressive, Dengue fever, Hazard rate, Spatial survival, Weibull model
Subjects: FMIPA > STATISTIKA - (S1)
FMIPA
KARYA ILMIAH DOSEN
Universitas Negeri Makassar > KARYA ILMIAH DOSEN
Divisions: KOLEKSI KARYA ILMIAH UPT PERPUSTAKAAN UNM MENURUT FAKULTAS > KARYA ILMIAH DOSEN
KARYA ILMIAH DOSEN
Depositing User: Dr. Aswi Aswi
Date Deposited: 01 Oct 2021 09:37
Last Modified: 28 Nov 2022 03:23
URI: http://eprints.unm.ac.id/id/eprint/21173

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