Spatial models are becoming more popular in time-to-event data analysis. Commonly, the
intrinsic conditional autoregressive prior is placed on an area level frailty term to allow for …

Objective To understand the spatial pattern of dengue fever (DF) patients' survival and
investigated factors influencing DF patients' survival. Method A Bayesian spatial survival …

Dengue disease has serious health and socio-economic consequences. Mapping its
occurrence at a fine spatiotemporal scale is a crucial element in the preparation of an early …

Background: Dengue fever is one of the world's most important vector-borne diseases and it
is still a major public health problem in the Asia-Pacific region including Indonesia …

Dengue Fever (DF) is an acute febrile disease caused by the dengue virus which is
transmitted by the Aedes Aegypti mosquito. The World Health Organization (2009) noted …

We develop a Bayesian spatio-temporal model based on a spatial Poisson-Lognormal
convolution model. The convolution model consists of two component, ie; heterogeneity …

Background Bandung, the fourth largest city in Indonesia and capital of West Java province,
has been considered a major endemic area of dengue, and studies show that the incidence …

Considering only the spatial component of diseases can identify areas with reduced or
elevated risk, but not capture anything about temporal variation of risk which could be more …

Spatio-temporal disease mapping models give a great worth in epidemiology, especially in
describing the pattern of disease incidence across geographical space and time. This paper …

Study in spatio-temporal disease mapping models give a great worth in epidemiology, in
describing the pattern of disease incidence across geographical space and time. This paper …