Dengue incidence rate clustering by district in Selangor
This study presents the used of Generalised Additive Model (GAM) in modelling Dengue Incidence Rate (DIR) with adopted clustering technique for districts in Selangor. This study identified a pattern for monthly observed dengue count and successfully select variables includes number of rainy days and...
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Science Publishing Corporation
2018
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| Online Access: | http://eprints.uthm.edu.my/5469/ |
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| author | Che Him, Norziha Mohamad, Nazeera Rusiman, Mohd Saifullah Khalid, Kamil Shafi, Muhammad Ammar |
| author_facet | Che Him, Norziha Mohamad, Nazeera Rusiman, Mohd Saifullah Khalid, Kamil Shafi, Muhammad Ammar |
| author_sort | Che Him, Norziha |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This study presents the used of Generalised Additive Model (GAM) in modelling Dengue Incidence Rate (DIR) with adopted clustering technique for districts in Selangor. This study identified a pattern for monthly observed dengue count and successfully select variables includes number of rainy days and amount of rainfall with time lags, number of locality and population density which significant to DIR in Selangor. Besides, this study found the districts divided into two clusters based on the value of mean DIR from January 2010 to August 2015. The first cluster consist of 6 districts of Selangor with value of mean DIR from 0 to 200 cases per 100,000 population. Meanwhile, there are 3 districts classified in the second cluster with value of mean DIR from 200 to 500 cases per 100,000 population. The Negative Binomial GAM then adopted in this study to able to handle the presence of overdispersion. In conclusion, clustering technique is one of the effective techniques to identify the different district with the higher potential of dengue risk. |
| format | Article |
| id | my.uthm.eprints-5469 |
| institution | Universiti Tun Hussein Onn Malaysia |
| publishDate | 2018 |
| publisher | Science Publishing Corporation |
| record_format | eprints |
| spelling | my.uthm.eprints-54692022-01-09T07:55:59Z http://eprints.uthm.edu.my/5469/ Dengue incidence rate clustering by district in Selangor Che Him, Norziha Mohamad, Nazeera Rusiman, Mohd Saifullah Khalid, Kamil Shafi, Muhammad Ammar QR Microbiology This study presents the used of Generalised Additive Model (GAM) in modelling Dengue Incidence Rate (DIR) with adopted clustering technique for districts in Selangor. This study identified a pattern for monthly observed dengue count and successfully select variables includes number of rainy days and amount of rainfall with time lags, number of locality and population density which significant to DIR in Selangor. Besides, this study found the districts divided into two clusters based on the value of mean DIR from January 2010 to August 2015. The first cluster consist of 6 districts of Selangor with value of mean DIR from 0 to 200 cases per 100,000 population. Meanwhile, there are 3 districts classified in the second cluster with value of mean DIR from 200 to 500 cases per 100,000 population. The Negative Binomial GAM then adopted in this study to able to handle the presence of overdispersion. In conclusion, clustering technique is one of the effective techniques to identify the different district with the higher potential of dengue risk. Science Publishing Corporation 2018 Article PeerReviewed Che Him, Norziha and Mohamad, Nazeera and Rusiman, Mohd Saifullah and Khalid, Kamil and Shafi, Muhammad Ammar (2018) Dengue incidence rate clustering by district in Selangor. International Journal of Engineering & Technology, 7 (4.3). pp. 416-418. ISSN 2227-524X |
| spellingShingle | QR Microbiology Che Him, Norziha Mohamad, Nazeera Rusiman, Mohd Saifullah Khalid, Kamil Shafi, Muhammad Ammar Dengue incidence rate clustering by district in Selangor |
| title | Dengue incidence rate clustering by district in Selangor |
| title_full | Dengue incidence rate clustering by district in Selangor |
| title_fullStr | Dengue incidence rate clustering by district in Selangor |
| title_full_unstemmed | Dengue incidence rate clustering by district in Selangor |
| title_short | Dengue incidence rate clustering by district in Selangor |
| title_sort | dengue incidence rate clustering by district in selangor |
| topic | QR Microbiology |
| url | http://eprints.uthm.edu.my/5469/ |
| url_provider | http://eprints.uthm.edu.my/ |