Relative risk estimation for dengue disease mapping in Malaysia based on Besag, York and Mollié Model

Samat N. A (UPSI); Pei Zhen W (UPSI)

Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/578386

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DC Field	Value	Language
dc.contributor.author	Samat N. A (UPSI)
dc.contributor.author	Pei Zhen W (UPSI)
dc.date.accessioned	2023-11-06T03:01:06Z	-
dc.date.available	2023-11-06T03:01:06Z	-
dc.date.issued	2017-07
dc.identifier.issn	0128-7680
dc.identifier.other	ukmvital:115886
dc.identifier.uri	https://ptsldigital.ukm.my/jspui/handle/123456789/578386	-
dc.description	In the study of disease mapping, relative risk estimation is the focus of analysis. Many methods have been introduced to estimate relative risk. In this paper, one of the common spatial models known as Besag, York and Mollié (BYM) model is discussed, and its application to dengue data for epidemiology weeks 1 to 52 of the year 2013 for 16 states in Malaysia is studied. Findings show that Selangor has the highest relative risk of dengue in comparison with other states. Data on the estimated relative risks are presented in the form of risk maps which can be used as a tool for the prevention and control of dengue.
dc.language.iso	en
dc.publisher	Universiti Putra Malaysia Press
dc.relation.haspart	Pertanika Journals
dc.relation.uri	http://www.pertanika.upm.edu.my/regular_issues.php?jtype=2&journal=JST-25-3-7
dc.rights	UKM
dc.subject	Relative risk estimation
dc.subject	Disease mapping
dc.subject	Dengue disease
dc.subject	BYM model
dc.title	Relative risk estimation for dengue disease mapping in Malaysia based on Besag, York and Mollié Model
dc.type	Journal Article
dc.format.volume	25
dc.format.pages	759-766
dc.format.issue	3
Appears in Collections:	Journal Content Pages/ Kandungan Halaman Jurnal

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