# Spatial Random Effects Survival Models to Assess Geographical Inequalities in Dengue Fever Using Bayesian Approach: A Case Study
> Thamrin S.

URL kanonis: https://discover.unhas.ac.id/publications/spatial-random-effects-survival-models-to-assess-geographical-inequalities-in-de
Jurnal / Konferensi: Journal of Physics Conference Series
Tahun terbit: 2018
DOI: https://doi.org/10.1088/1742-6596/979/1/012095
ISSN: 17426588
Citations: 3

## Authors
- Thamrin S.

## Abstract
Dengue haemorrhagic fever (DHF) is an infectious disease caused by dengue virus. The increasing number of people with DHF disease correlates with the neighbourhood, for example sub-districts, and the characteristics of the sub-districts are formed from individuals who are domiciled in the sub-districts. Data containing individuals and sub-districts is a hierarchical data structure, called multilevel analysis. Frequently encountered response variable of the data is the time until an event occurs. Multilevel and spatial models are being increasingly used to obtain substantive information on area-level inequalities in DHF survival. Using a case study approach, we report on the implications of using multilevel with spatial survival models to study geographical inequalities in all cause survival.

## Keywords
- Dengue fever
- Neighbourhood (mathematics)
- Multilevel model
- Geography
- Inequality
- Bayesian probability
- Survival analysis
- Random effects model
- Demography
- Cartography
- Econometrics
- Statistics
- Medicine
- Virology
- Mathematics
- Sociology
- Meta-analysis
- Mathematical analysis
- Internal medicine

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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