Malaysian Journal of Analytical Sciences Vol 17 No 6 (2015): 1318 - 1326

 

 

 

GEOGRAPHICAL INFORMATION SYSTEM (GIS) FOR RELATIONSHIP BETWEEN DENGUE DISEASE AND CLIMATIC FACTORS AT

CHERAS, MALAYSIA

 

(Perhubungan Antara Kes Denggi dan Faktor Iklim Menggunakan Sistem Maklumat Geografi di Cheras, Malaysia)

 

Ahmad Dasuki Mustafa¹, Azman Azid¹, Hafizan Juahir¹*, Kamaruzzaman Yunus², Ismail Zainal Abidin¹,

Nur Hishaam Sulaiman¹, Mohammad Azizi Amran¹, Mohamad Romizan Osman²,  

Mohd Khairul Amri Kamarudin^1,3, Muhammad Barzani Gasim¹

 

¹East Coast Environmental Research Institute (ESERI),

Universiti Sultan Zainal Abidin, Gong Badak Campus, 21300 Kuala Terengganu, Terengganu, Malaysia

²Kulliyyah of Science,

International Islamic University Malaysia, 25200 Kuantan, Pahang, Malaysia

³Faculty of Design Arts and Engineering Technology,

Universiti Sultan Zainal Abidin, Gong Badak Campus, 21300 Kuala Terengganu, Terengganu, Malaysia

 

*Corresponding author: hafizanjuahir@unisza.edu.my

 

 

Received: 14 April 2015; Accepted: 9 July 2015

 

 

Abstract

The Geographical Information System (GIS) was utilized to generate dengue distribution cases and its correlation to the climatic factors in Cheras, Kuala Lumpur, Malaysia. The data were provided by Dewan Bandaraya Kuala Lumpur (DBKL). The data was integrated with Kuala Lumpur map to graphically present information about the areas which been hit by the dengue outbreak through a graphic display. The analysis using focused on overlay, buffer creating, and query builder. The statistical analysis such as linear regression is undertaken to show the correlation between dengue diseases with the climatic factors that is rainfall, temperature and relative humidity for the year 2008, 2009, 2010, and 2011. The study found that there is no correlation between disease incidence and total rainfall (R²=0.057). Thus, it can be concluded that the climatic factors were not contributed to the dengue cases. Through this research, highly expect that the dengue distribution map had been developed and can be used by the authorities to analyzing the dengue disease pattern by related with the climatic factors.

 

Keywords : dengue, Geographic Information System (GIS), climate, linear regression, Aedes aegypti

 

Abstrak

Sistem Maklumat Geografi (GIS) digunakan untuk menghasilkan peta taburan kes denggi dan perkaitan dengan faktor iklim di Cheras, Kuala Lumpur, Malaysia. Data diperoleh dari Dewan Bandaraya Kuala Lumpur (DBKL) dan diintegrasi dengan peta Kuala Lumpur untuk mempersembahkan secara grafik maklumat bagi kawasan tersebut yang telah dilanda wabak denggi. Analisis statistik seperti persamaan linear digunakan untuk mencari korelasi antara kes denggi dan faktor iklim iaitu taburan hujan, suhu, dan kelembapan untuk tahun 2008 hingga 2011. Hasil kajian ini, tiada hubungan yang signifikan antara faktor-faktor dan kes denggi tersebut (R²= 0.057). Melalui kajian ini, adalah menjadi tanggapan yang tinggi bahawa peta taburan ini dapat lebih dibangunkan dan digunakan oleh pihak berkuasa untuk menganalisis corak penyakit denggi dengan menghubungkait dengan faktor iklim.

 

Kata Kunci:  denggi, Sistem Maklumat Geografi (GIS), iklim, persamaan linear, Aedes aegypti

 

References

1.       WHO – Regional Office for South-East Asia, SEARO (1999). Comprehensive Guidelines: Prevention and control of dengue and dengue haemorrhagic fever, WHO Regional Publication, SEARO No.29, 1999.

2.       Edelman R. Dengue vaccines approach the finish line. Clinical Infectious Diseases, (2007), 45(Suppl 1): S56 –S60.

3.       Rudnick, A., Tan, E. E., Lucas, J. K. and Omar, M. B. (1965). Mosquito-borne haemorrhagic fever in Malaya. British Medical Journal 1(5445): 1269-1272.

4.       Ministry of Health Malaysia Vector Borne Disease Control Section (2010). Retrieved from http://www.dph.gov.my/vektor/eng/kes_dd_tahunan.htm.

5.       Abu Bakar, S. and Shafee, N. (2002). Outlook of dengue in Malaysia: a century later. The Malaysian Journal of Pathology 24(1): 23-27

6.       Dengue deaths double in Malaysia, says Health Ministry. The Malaysian Insider. Published on 5^th November 2013. Retrieved from http://www.themalaysianinsider.com/malaysia/article/dengue-casualties-double-in-malaysia

7.       Dewan Bandaraya Kuala Lumpur, Denggi: Cheras paling teruk, Harian Metro, Published on 25^th March 2008

8.       Nakhapakorn, K. and Tripathi, N.K. (2005). An information value based analysis of physical and climatic factors affecting dengue fever and dengue hemorrhagic fever incidence. International Journal Health Geographics 4: 1- 13.

9.       Adnan. R. A., Osman M, Unyah N. Z., Abdullah W. O., Hamat R. A. and Majid R. A. (2009). Fogging impact on Aedes mosquitoes: A preliminary findings on continuous vector surveillance. Kuala Lumpur: 45 th Annual Scientific Seminar, Malaysian Society of Parasitology and Tropical Medicine.

10.    Nazri, C.D., Abu Hassan, A., Abd Latif, Z. and Rodziah Ismail. (2011). Impact of Climate and Landuse variability based on Dengue Epidemic Outbreak in Subang Jaya. IEEE Colloquium on Humanities, Science and Engineering Resesarch (CHUSER).

11.    Lo, E. K. C. and Narimah, A. (1984). Epidemiology of dengue disease in Malaysia, 1973-1982. Journal of Malaysian Society of Health 4(1): 27-35.

12.    Cheong, Y., Burkart, K.. and Leitao, P. (2013). Assessing weather effects on dengue disease in Malaysia. International Journal of Environmental Research and Public Health 10: 6319-6334

13.    Hopp M.J. and Foley, J.A. (2001). Global-scale relationships between climate and the dengue fever vector, Aedes aegypti. Climate Change 48:441–463.

14.    Foo, L. C., Tim, T. W., Lee, H. L. and Fang, R. (1985). Rainfall, abundance of Aedes aegypti and dengue infection in Selangor, Malaysia. Southeast Asian Journal of Tropical Medicine and Public Health 16(4): 560-568.

15.    Hornby, J. A., Moore, D. E. and Miller, T. W. Jr. (1994). Aedes albopictus distribution, abundance and colonization in Lee County, Florida, and its effect on Aedes aegypti. Journal of American Mosquito Control Association 10(3): 397-402.

16.    Kishtawal, C. and Niyogi, D. (2010). Urbanization signature in the observed heavy rainfall climatology over India. International Journal of Climatology 30(13): 1908–1916.

17.    Kyle, J. L. and Harris, E. (2008). Global spread and persistence of dengue. Annual Review of Microbiology 62: 72 – 92.

18.    Gubler, D. J. (2011). Dengue, urbanization, and globalization: The unholy trinity of the 21 st Century. Tropical Medicine and Health 39(4): 3 – 11.

19.    Department of Statistics Malaysia, Population and Basic Demographic Characteristics’ Report. (2010). Retrieved from http://www.statistics.gov.my/portal/index.php?option=com_content&view=article&id=1215%3 A population-distribution-and-basic-demographic-characteristic-report-population-and-housing-census-malay sia-2010-updated-2972011&catid=130%3Apopulation-distribution-and-basic-demographic-characteristic-report-population-and-housing-census-       malaysia-2010&Itemid=154&lang=en

20.    Gould, D. J., Mount, G. A., Scanlon, J. E., Ford, H. R. and Sullivan, M. F. (1970). Ecological control of dengue vectors on an island in the Gulf of Thailand. Journal of Medical Entomology 4: 499 – 508.

21.    Goh, K. T., Ng, S. K, Chan, Y. C., Lim, S. J. and Chua, E. C. (1987). Epidemiological aspects of an outbreak of dengue fever/dengue haemorrhagic fever in Singapore.  Southeast Asian Journal of Tropical Medicine and Public Health. 18: 295 –302.

22.    Sia Su and G. L. (2008). Correlation of climatic factors and dengue incidence in MetroManila, Philippines. Ambio. 37(4): 292 – 294.

23.    Picardal P. J. and Elnar, A.R.R. (2012). Rainfall, temperature and the incidence of dengue in Central Visayas, Philippinesare not correlated. CNU Journal of Higher Education Category B CHED-JAS, 6.