Bayesian spatial survival modelling for dengue fever in Makassar, Indonesia
Gac. sanit. (Barc., Ed. impr.)
; 35(supl. 1): S59-S63, 2021. graf, tab, mapas
Article
in English
| IBECS
| ID: ibc-220743
Responsible library:
ES1.1
Localization: ES15.1 - BNCS
ABSTRACT
Objective:
To understand the spatial pattern of dengue fever (DF) patients survival and investigated factors influencing DF patients survival.Method:
A Bayesian spatial survival method via a conditional autoregressive approach was used to 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. (AU)
Full text:
Available
Collection:
National databases
/
Spain
Database:
IBECS
Main subject:
Dengue
/
Survivorship
Limits:
Humans
Country/Region as subject:
Asia
Language:
English
Journal:
Gac. sanit. (Barc., Ed. impr.)
Year:
2021
Document type:
Article
Institution/Affiliation country:
Hasanuddin University/Indonesia
/
Queensland University of Technology/Australia
/
Universitas Negeri Makassar/Indonesia