Journals Information
Universal Journal of Public Health Vol. 9(3), pp. 120 - 130
DOI: 10.13189/ujph.2021.090303
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Spatio-Temporal Clustering of Dengue Incidence
Nik Nur Fatin Fatihah Sapri 1, Wan Fairos Wan Yaacob 2,*, Yap Bee Wah 1, Syed Sharizman Syed Abdul Rahim 3
1 Faculty of Mathematical and Computer Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Malaysia
2 Faculty of Mathematical and Computer Sciences, Universiti Teknologi MARA Cawangan Kelantan Kampus Kota Bharu, 15050 Kota Bharu, Kelantan, Malaysia
3 Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Jalan UMS, 88400 Sabah, Malaysia
ABSTRACT
Dengue fever is a well-known vector-borne disease caused by Aedes aegypti mosquito. It has become a major burden to economy and society of affected country. In Malaysia, dengue incidence in Selangor has been worsening and alarming. The aim of this study is two-fold; to examine the trend and behaviour of dengue incidence across time and districts in Selangor and to cluster the endemic areas in Selangor using Wards hierarchical clustering method. The spatial and temporal analysis found that the dengue incidence is worsening in the early and middle of the year. The Wards minimum variance method was able to cluster Selangor's endemic area into high endemic areas (Gombak, Hulu Langat, Klang and Petaling), medium endemic area (Sepang) and low endemic areas (Hulu Selangor, Kuala Langat, Kuala Selangor, SabakBernam). The findings of the study are significant to respective local authorities in providing information for monitoring and planning the early dengue warning systems. This is important to reduce the dengue incidence in hot spot areas and to safeguard the community from dengue outbreak.
KEYWORDS
Dengue Incidence, Spatial and Temporal Analysis, Wards Hierarchical Clustering
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Nik Nur Fatin Fatihah Sapri , Wan Fairos Wan Yaacob , Yap Bee Wah , Syed Sharizman Syed Abdul Rahim , "Spatio-Temporal Clustering of Dengue Incidence," Universal Journal of Public Health, Vol. 9, No. 3, pp. 120 - 130, 2021. DOI: 10.13189/ujph.2021.090303.
(b). APA Format:
Nik Nur Fatin Fatihah Sapri , Wan Fairos Wan Yaacob , Yap Bee Wah , Syed Sharizman Syed Abdul Rahim (2021). Spatio-Temporal Clustering of Dengue Incidence. Universal Journal of Public Health, 9(3), 120 - 130. DOI: 10.13189/ujph.2021.090303.