Spatio-temporal clustering of dengue incidence
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 behaviou...
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| Format: | Article |
| Language: | English English |
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Horizon Research Publishing
2021
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| Online Access: | https://eprints.ums.edu.my/id/eprint/32590/1/Spatio-temporal%20clustering%20of%20dengue%20incidence.pdf https://eprints.ums.edu.my/id/eprint/32590/3/Spatio-temporal%20clustering%20of%20dengue%20incidence%20_ABSTRACT.pdf |
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| author | Nik Nur Fatin Fatihah Sapri Wan Fairos Wan Yaacob Yap, Bee Wah Syed Sharizman Syed Abdul Rahim |
| author_facet | Nik Nur Fatin Fatihah Sapri Wan Fairos Wan Yaacob Yap, Bee Wah Syed Sharizman Syed Abdul Rahim |
| author_sort | Nik Nur Fatin Fatihah Sapri |
| collection | UMS |
| description | 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, Sabak Bernam). 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. |
| first_indexed | 2024-03-06T03:16:00Z |
| format | Article |
| id | ums.eprints-32590 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-03-06T03:16:00Z |
| publishDate | 2021 |
| publisher | Horizon Research Publishing |
| record_format | dspace |
| spelling | ums.eprints-325902022-05-18T04:28:43Z https://eprints.ums.edu.my/id/eprint/32590/ Spatio-temporal clustering of dengue incidence Nik Nur Fatin Fatihah Sapri Wan Fairos Wan Yaacob Yap, Bee Wah Syed Sharizman Syed Abdul Rahim RA1-1270 Public aspects of medicine 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, Sabak Bernam). 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. Horizon Research Publishing 2021 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/32590/1/Spatio-temporal%20clustering%20of%20dengue%20incidence.pdf text en https://eprints.ums.edu.my/id/eprint/32590/3/Spatio-temporal%20clustering%20of%20dengue%20incidence%20_ABSTRACT.pdf Nik Nur Fatin Fatihah Sapri and Wan Fairos Wan Yaacob and Yap, Bee Wah and Syed Sharizman Syed Abdul Rahim (2021) Spatio-temporal clustering of dengue incidence. Universal Journal of Public Health, 9. pp. 120-130. ISSN ISSN: 2331-8880 (P-ISSN) , 2331-8945 (E-ISSN) https://www.hrpub.org/download/20210530/UJPH3-17691692.pdf https://doi.org/10.13189/ujph.2021.090303 https://doi.org/10.13189/ujph.2021.090303 |
| spellingShingle | RA1-1270 Public aspects of medicine Nik Nur Fatin Fatihah Sapri Wan Fairos Wan Yaacob Yap, Bee Wah Syed Sharizman Syed Abdul Rahim Spatio-temporal clustering of dengue incidence |
| title | Spatio-temporal clustering of dengue incidence |
| title_full | Spatio-temporal clustering of dengue incidence |
| title_fullStr | Spatio-temporal clustering of dengue incidence |
| title_full_unstemmed | Spatio-temporal clustering of dengue incidence |
| title_short | Spatio-temporal clustering of dengue incidence |
| title_sort | spatio temporal clustering of dengue incidence |
| topic | RA1-1270 Public aspects of medicine |
| url | https://eprints.ums.edu.my/id/eprint/32590/1/Spatio-temporal%20clustering%20of%20dengue%20incidence.pdf https://eprints.ums.edu.my/id/eprint/32590/3/Spatio-temporal%20clustering%20of%20dengue%20incidence%20_ABSTRACT.pdf |
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