A spatial-temporal study of dengue in Peninsular Malaysia for the year 2017 in two different space-time model

© 2019 Informa UK Limited, trading as Taylor & Francis Group.

Bibliographische Detailangaben
Veröffentlicht in:Journal of applied statistics. - 1991. - 47(2020), 4 vom: 09., Seite 739-756
1. Verfasser: Abd Naeeim, Nurul Syafiah (VerfasserIn)
Weitere Verfasser: Abdul Rahman, Nuzlinda, Muhammad Fahimi, Fatin Afiqah
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2020
Zugriff auf das übergeordnete Werk:Journal of applied statistics
Schlagworte:Journal Article Bayesian estimation Disease mapping INLA SPDE dengue
Beschreibung
Zusammenfassung:© 2019 Informa UK Limited, trading as Taylor & Francis Group.
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 analyses the spatial and temporal variability of dengue disease rates based on generalized linear mixed models. For spatio-temporal study, the models incorporate spatially correlated random effects as well as temporal effects. In this study, two different spatial random effects are applied and compared. The first model is based on Leroux spatial model, while the second model is based on the stochastic partial differential equation approach. For the temporal effects, both models follow an autoregressive model of first-order model. The models are fitted within a hierarchical Bayesian framework with integrated nested Laplace approximation methodology. The main objective of this study is to compare both spatio-temporal models in terms of their ability in representing the disease phenomenon. The models are applied to weekly dengue fever data in Peninsular Malaysia reported to the Ministry of Health Malaysia in the year 2017 according to the district level
Beschreibung:Date Revised 16.07.2022
published: Electronic-eCollection
Citation Status PubMed-not-MEDLINE
ISSN:0266-4763
DOI:10.1080/02664763.2019.1648391