Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Kristiani, Faraha; * | Samat, Nor Azahb | bin Ab Ghani, Sazellib
Affiliations: [a] Department of Mathematics, Parahyangan Catholic University, Bandung, Indonesia | [b] Department of Mathematics, Sultan Idris Education University, Tanjung Malim, Malaysia
Correspondence: [*] Corresponding author: Farah Kristiani, Department of Mathematics, Parahyangan Catholic University, 40141, Gedung 9, Lantai 1, Ciumbuleuit 94, Bandung, Indonesia. E-mail: [email protected].
Abstract: Dengue is one of the most dangerous vector-borne infectious diseases in the world which are fatal in many cases due to inefficient treatment. Although the relative risk estimations of dengue transmission are available for Bandung, one of the most populous cities in Indonesia, dengue cases especially among young people have increased rapidly. However, the age factor has not yet been included in these estimations. Because specific treatment and prevention depend on age, this factor must be considered in any dengue transmission model. In this article, the authors classify dengue cases in Bandung into juveniles and adults. Each group is analyzed by SIR-SI model to estimate the relative risk of dengue transmission as an indirect transmission disease which takes into account the stochastic factor. This model also considers a spatial correlation which affects dengue distribution in a specific area for a particular age group. The results of the analysis show that some areas in Bandung have medium to very high dengue risk, especially for the juvenile group. It is expected that The Health Department of Bandung will focus dengue transmission prevention programs more intensively on this group. In further research, if the data needed are available, this model can be applied to other cities in Indonesia.
Keywords: Age, Bandung, Bayesian, dengue, relative risk
DOI: 10.3233/MAS-170391
Journal: Model Assisted Statistics and Applications, vol. 12, no. 2, pp. 151-161, 2017
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]