Sains Malaysiana 40(8)(2011): 937–943
Evaluation of the Spatial Risk Factors for High Incidence
of Dengue Fever and Dengue Hemorrhagic Fever Using GIS Application
(Penilaian
Faktor-faktor Risiko Ruangan Bagi Kejadian Penyakit Demam Denggi dan Demam Denggi
Berdarah Menggunakan Aplikasi GIS)
Aziz Shafie*
Department of Geography, Faculty
of Arts and Social Sciences, University of Malaya
50603 Kuala Lumpur, Malaysia
Diserahkan: 25
Mei 2010 / Diterima: 29 November 2010
ABSTRACT
In Malaysia, the incidence
of Dengue Fever (DF) and Dengue Hemorrhagic Fever (DHF)
have risen dramatically in the last twenty years. With the use of Geographical
Information System an explanation for the spread and control of these diseases
can be obtained. This study aims to develop a spatial modeling that can predict
the risks for DF and DHF based on environmental
factors such as physical surroundings, land use, rainfall, temperature and GIS application
using logistic regression. A total of 16 variables were used in the process of
spatial modeling development. At the significant level of 0.05, the results of
logistic regression showed that only 10 out of 16 significant variables in the
modeling process. The accuracy of the resulting model is 70.3%. A crucial
feature of this study is a risk area map for incidence of DF and DHF in the study area. This study also highlights the application of
spatial analysis in planning and implementing the process for the prevention
and control activities of DF and DHF in
Malaysia.
Keywords: Dengue fever;
dengue hemorrhagic fever; geographic information system (GIS);
risk mapping; spatial modeling
ABSTRAK
Di Malaysia, kejadian kes
Demam Denggi (DD) dan Demam Denggi Berdarah (DBD)
telah meningkat secara dramatik dalam dua puluh tahun terakhir. Dengan
penggunaan Sistem Maklumat Geografi (GIS), penjelasan tentang
penyebaran dan pengawalan penyakit ini boleh dilakukan. Kajian ini bertujuan
untuk membangunkan model ruangan yang dapat meramalkan risiko kejadian penyakit DF dan DBD berdasarkan faktor-faktor
persekitaran seperti persekitaran fizikal, guna tanah, hujan, suhu dan aplikasi GIS menggunakan kaedah regreasi logistik. Sebanyak 16 pemboleh telah
digunakan dalam proses pembentukan model ruangan. Pada aras signifikan 0.05,
keputusan regrasi logistik mendapati hanya 10 daripada 16 pembolehubah
signifikan dalam proses pembentukan model. Ketepatan model yang dihasilkan
ialah sebanyak 70.3%. Hasil penting kajian ini adalah peta risiko kejadian DF dan DBD di kawasan kajian. Kajian ini juga menyoroti penggunaan analisis
ruangan dalam proses perancangan dan pelaksanaan aktiviti untuk pencegahan dan
kawalan penyakit DD dan DDB di
Malyasia.
Kata kunci: Demam denggi; demam denggi berdarah; pemetaan risiko;
permodelan ruangan: sistem maklumat geografi (GIS)
RUJUKAN
Aziz, S. 2008.
Geographic Information System (GIS) Application to Identify High Risk Area of
Dengue and Dengue Hemorrhagic Fever In Georgetown, Penang. PhD Thesis.
Universiti Sains Malaysia, Geography Section. (Unpublished)
Barbazan, P.,
Yoksun, S. & Gonzalez, J.P. 2002. Dengue hemorrhagic fever epidemiology in
Thailand. Description and forecasting of epidemics. Microbes and Infectors 4:669-705.
Beaty, J &
Marquardt, C. 996. The Biology of Disease Vectors. Colorado: University
Press of Colorado.
Benjamin, G.J.,
Joel, A.M., Erick, C., Daniel, A.G. & Robert, J.N. 2010. Geomapping
generalize deigenvalue frequency distributions for predicting prolific Aedes
albopictus and Culex quinquefasciatus habitats based on
spatiotemporal field. ActaTropica doi:10.1016/j.actatropica.2010.10.002.
Bohra, A. &
Andrianasolo, H. 2001. Application of GIS in Modeling of Dengue Risk Based On
Sociocultural Data: Case of Jalore, Rajasthan, India. Dengue Bulletin 25:
92-102.
Chan, K.L. 1985. Singapore’s Dengue Hemorrhagic Fever Control Programme A case Study Of The
Successful Control Of Aedes Aegypti And Aedesm Alboppictus Using Mainly
Environmental Measures As A Part Of Integrated Vector Control. Tokyo:
Southeast Asian Medical Information Centre (SEAMIC).
Cheong, W.H.
1986. Dengue Hemorrhagic Fevers in Malaysia. In Dengue Fever Studies in
Malaysia. In Dengue Fever Studies in Malaysia. Edited by Rudnick
& Lim. Kuala Lumpur: Institute for Medical Research.
Field, A. 2005. Discovering
Statistics Using SPSS. London: Sage Publication.
Gubler, D.J.
& Kuno, G. 1997. Dengue and Dengue Hemorrhagic Fever. Cambridge: CAB
International.
Haliza, M.R.
2001. Perception, Knowledge and Behavioral Aspects of Dengue Control in Urban
Communities in Kuala Lumpur. Proceedings of the Behavioral Interventions in
Dengue Control in Malaysia, Universiti Sains Malaysia, Pulau Pinang:
125-140.
Kolivras, K.N.
2006. Mosquito habitat and dengue risk potential in Hawaii: a conceptual
framework and GIS application. Professional Geographer 58: 139-154.
Manguin, S.,
Bangs, M.J., Pothikasikorn, J. & Chareonviriyaphap, T. 2010. Review on
global co-transmission of human Plasmodium species and Wuchereria bancrofti by Anopheles mosquitoes. Infection, Genetics and Evolution 10:
159-177.
Ministry of
Health (MOH). 2009. Current Situation of Dengue and Dengue Hemorrhagic
Fever. Kuala Lumpur: Ministry of Health.
Mohammad, A.,
Wagatsuma, Y., Emch, M. & Breiman, R. 2003. Use of A Geographic Information
System For Defining Spatial Risk For Dengue Transmission in Bangladesh: Role
For Aedes albopictus in An Urban Outbreak. American Journal of Tropical
Medicine and Hygiene 69: 634-640.
Mondini, A.
& Chiaravalloti-Neto, F. 2008. Spatial correlation of incidence of dengue
with socioeconomic, demographic and environmental variables in a Brazilian
city. Science of the Total Environment 393: 241-248.
Pang, T.,
Hamimah, H. & Shivaji, R. 1998. Dengue and Dengue Hemorrhagic Fever.
Kuala Lumpur: Dewan Bahasa dan Pustaka.
Pedigo, L. 1999. Entomology And Pest Management. Upper Saddle River: Prentice Hall.
Pei-Chih Wua,
Jinn-Guey Layb, How-Ran Guoc, Chuan-Yao Lind, Shih-Chun Lung & Huey-Jen Su
2009. Higher temperature and urbanization affect the spatial patterns of dengue
fever transmission in subtropical Taiwan. Science of the Total Environment 407:
2224-2233.
Peterson, A.T.,
Campos, C.M., Yoshinori Nakazawac & Meyerd, E.M. 2005. Time-specific
ecological niche modeling predicts spatial dynamics of vector insects and human
dengue cases. Transactions of the Royal Society of Tropical Medicine and
Hygiene 99: 647-655.
Richards, E.E.,
Masuoka, P., Major, D.B., Smith, M., Klein, T.A., Kim, H.C., Anyamba, A. &
Grieco, J. (2010). The relationship between mosquito abundance and rice field
density in the Republic of Korea. International Journal of Health Geographic 9: 32-42.
Rotela, C.,
Fouque, F., Lamfri, M., Sabatier, P., Introini, V., Zaidenberg, M. &
Scavuzzo, C. 2007. Space–time analysis of the dengue spreading dynamics in the
2004 Tartagal outbreak, Northern Argentina. Acta Tropica 103: 1-13.
Schroder, W.
2006. GIS, geostatistics, metadata banking, and tree-based models for data
analysis and mapping in environmental monitoring and epidemiology. International
Journal of Medical Microbiology 296 (S1): 23-36
Tan, B.T. &
Teo, B.T. 1986. Modus Operandi in Aedes Surveillance and Control in
Singapore. Singapore: Institute of Environmental Epidemiology, Ministry of
Environment.
Tham, A.S. 2001. Issues and
Challenges in Aedes Surveillance and Control. Proceedings of the Behavioral Interventions
in Dengue Control in Malaysia. Universiti Sains Malaysia, Penang: 15-26.
Thomson, M.C.
& Connor, S.J. 2000. Environmental information systems for the control of
arthropod vectors of disease. Medical and Veterinary Entomology 14:
227-244.
Troyo, A.,
Fuller, D.O., Arguedas, O.C., Solano, M.E. & Beier, J.C. 2009. Urban
structure and dengue fever in Puntarenas, Costa Rica. Singapore Journal of
Tropical Geography 30(2): 265-282.
Tzai, H.W.,
Neal, H.L., Chun, H.L., Chwan, C.K. & Ming, D.S. 2006. Spatial mapping of
temporal risk characteristics to improve environmental health risk
identification: A case study of a dengue epidemic in Taiwan. Science of the
Total Environment 367: 631-640.
Tzai-Hung Wen,
Neal, H.L., Day-Yu Chao, Kao-Pin Hwang, Chih-Chun Kan, Katherine Chun-Min Lin,
Joseph Tsung-Shu Wu, Scott Yan-Jang Huang, I-Chun Fan & Chwan-Chuen King.
(2010). Spatial–temporal patterns of dengue in areas at risk of dengue
hemorrhagic fever in Kaohsiung, Taiwan, 2002. International Journal of
Infectious Diseases 14: 334-343.
Wegbreit, K.C.
& Reisen, W.K. 2000. Relationship Among Weather, Mosquito Abundance, and
Encephalitis Virus Activity in California: Kern County 1990-1998. Journal of
the American Mosquito Control Association 16: 22-27.
Wellmer, H.
1983. Dengue Haemorrhagic Fever in Thailand. Geomedical Observations on
Developments Over the Period 1970-1979. Berlin: Springer-Verlag; 1983.
*Pengarang untuk surat-menyurat; email: azizs@um.edu.my
|