MODELLING THE PREDICTION OF DENGUE OUTBREAK USING SYSTEM DYNAMICS APPROACH
DOI:
https://doi.org/10.11113/jt.v78.8984Keywords:
Predicting dengue outbreak, system dynamics, early warning systemAbstract
Dengue virus had become the dominant mosquito-borne disease in Malaysia. With no positive progress on the development of vaccine, other ways in dealing with the virus is to predict the next outbreak which is also the aim of this paper. This dengue model based on system dynamics approach gives valuable information to decision makers in determining the strategies for vector control. The array of factors involved such as temperature, rainfall and population density that significantly influence virus transmission, give opportunity for a system approach in providing answer to the complicated relationship which exist in dengue system. System dynamics dengue model is able to simulate reasonable and promising results, which can be used as basis for future researcher to model more accurate and detail dengue transmission control system.
References
Alirol, Emilie, Laurent Getaz, Beat Stoll, François Chappuis, and Louis Loutan. 2011. Urbanisation And Infectious Diseases In A Globalised World. The Lancet Infectious Diseases. 11: 131–41. Elsevier Ltd doi:10.1016/S1473-3099(10)70223-1.
World Health Organization. 2012. Global Strategy For Dengue Prevention And Control 2012-2020.
Skae, F M. 1902. Dengue fever in Penang. British Medical Journal. 2: 1581-1582.
Rudnick, A., Tan E. E., Lucas J. K., and Omar M. B. 1965. Mosquito-borne Haemorrhagic Fever In Malaya. British Medical Journal. 5445: 1269-1272.
Ministry of Health Malaysia. 2014. Report On Current Dengue Situation For Week 52/2014.
Dhang, Chen Chee, Nazni Wasi Ahmad, Lee Han Lim, Seleena Benjamin, Mohd Masri Saranum, Chiang Yee Fook, and M Sofian Azirun. 2006. Mixed Breeding Of Aedes Aegypti (L.) And Aedes Albopictus Skuse In Four Dengue Endemic Areas In Kuala Lumpur And Selangor, Malaysia. Tropical Biomedicine. 23: 224-227.
Saleeza, S. N. R., Sofian Azirun M., and Norma-Rashid Y. 2011. Mosquitoes Larval Breeding Habitat in Urban and Suburban Areas, Peninsular Malaysia. World Academiy of Science, Engineering and Technology. 5: 72-76.
Varatharaj, A. 2010. Encephalitis In The Clinical Spectrum Of Dengue Infection. Neurol India. 58: 585-91.
Abu Bakar, Sazaly, and Norazizah Shafee. 2002. Outlook of Dengue In Malaysia : A Century Later. Malaysian J Pathol. 24: 23-27.
Muhammad Azami, Nor Azila, Sharifah Azura Salleh, Hui-Min Neoh, Syed Zulkifli Syed Zakaria, and Rahman Jamal. 2011. Dengue Epidemic In Malaysia: Not A Predominantly Urban Disease Anymore. BMC Research Notes. 4: 216. BioMed Central Ltd. doi:10.1186/1756-0500-4-216.
Mapjabil, Jabil, Nooriah Yusof, and Ahmad Tharmizzie Mat Jusoh. 2010. Transformation of Economic Development in the State of Kedah : Historical Perspective. In Prosiding Perkem V. 2: 171-181.
Bain, Sherrie V. 2011. Dengue Fever : An Emerging Infectious Disease in The Bahamas. The International Journal of Bahamian Studies. 17: 67-72.
Cheong, Yoon, Katrin Burkart, Pedro Leitão, and Tobia Lakes. 2013. Assessing Weather Effects on Dengue Disease in Malaysia. International Journal of Environmental Research and Public Health. 10: 6319-6334. doi:10.3390/ijerph10126319.
Descloux, Elodie, Morgan Mangeas, Christophe Eugène Menkes, Matthieu Lengaigne, Anne Leroy, Temaui Tehei, Laurent Guillaumot, et al. 2012. Climate-Based Models For Understanding And Forecasting Dengue Epidemics. Plos Neglected Tropical Diseases. 6: e1470. doi:10.1371/ journal.pntd.0001470.
Husin, Nor Azura, Naomie Salim, and Ab Rahman Ahmad. 2008. Modeling Of Dengue Outbreak Prediction In Malaysia: A Comparison Of Neural Network And Nonlinear Regression Model. 2008 International Symposium on Information Technology. IEEE: 1-4. doi:10.1109/ITSIM.2008.4632022.
Karim, Nazmul, Saif Ullah Munshi, Nazneen Anwar, and Shah Alam. 2012. Climatic Factors Influencing Dengue Cases In Dhaka City : A Model For Dengue Prediction. 32-39.
De Mattos Almeida, Maria Cristina, Waleska Teixeira Caiaffa, Renato Martins Assunção, and Fernando Augusto Proietti. 2007. Spatial Vulnerability To Dengue In A Brazilian Urban Area During A 7-Year Surveillance. Journal Of Urban Health. 84: 334-45. doi:10.1007/s11524-006-9154-2.
Kumarasamy, V. 2006. Dengue Fever in Malaysia : Time for Review ? Med J Malaysia. 61: 1-3.
Hirsch, G. B. 1979. System dynamics Modeling In Health Care. ACM SIGSIM Simulation Digest. 10: 38-42. doi:10.1145/1102815.1102821.
Wee, Lim Kwee et al. 2013. Relationship Between Rainfall And Aedes Larval Population At Two Insular Sites In.
Banu, Shahera, Wenbiao Hu, Cameron Hurst, and Shilu Tong. 2011. Dengue Transmission In The Asia-Pacific Region : Impact Of Climate Change And Socio-Environmental Factors. 16: 598-607. doi:10.1111/j.1365-3156.2011.02734.x.
Shope, Robert. 1991. Global Climate Change and Infectious Diseases. 96: 171-174.
Wong, Li Ping, Sharina Mahavera Mohamad Shakir, Narges Atefi, and Sazaly Abu Bakar. 2015. Factors Affecting Dengue Prevention Practices: Nationwide Survey of the Malaysian Public. Edited by Sheng-Nan Lu. Plos One. 10: e0122890. doi:10.1371/journal.pone.0122890.
Nuraini, N., Soewono E., and Sidarto K. A. 2007. Mathematical Model of Dengue Disease Transmission with Severe DHF Compartment. Malaysian Mathematical Sciences Society. 30: 143-157.
Schmidt, Wolf-Peter, Motoi Suzuki, Vu Dinh Thiem, Richard G White, Ataru Tsuzuki, Lay-Myint Yoshida, Hideki Yanai, et al. 2011. Population Density, Water Supply, And The Risk Of Dengue Fever In Vietnam: Cohort Study And Spatial Analysis. PLoS Medicine. 8:e1001082. doi:10.1371/journal.pmed. 1001082.
Sterman, John. 2000. Business Dynamics: Systems Thinking And Modeling For A Complex World. United States of America: McGraw-Hill Companies.
Hirsch, Gary, Jack Homer, Elizabeth Evans, and Ann Zielinski. 2010. A System Dynamics Model For Planning Cardiovascular Disease Interventions. American Journal Of Public Health. 100: 616-22. doi:10.2105/AJPH.2009.159434.
Homer, Jack, Gary Hirsch, Mary Minniti, and Marc Pierson. 2004. Models For Collaboration: How System Dynamics Helped A Community Organize Cost-Effective Care For Chronic Illness. System Dynamics Review. 20: 199-222. doi:10.1002/sdr.295.
Finegood, Diane T., Thomas, D. N. Merth, and Harry Rutter. 2010. Implications Of The Foresight Obesity System Map For Solutions To Childhood Obesity. Obesity (Silver Spring, Md.).18 (Suppl 1): S13-6. doi:10.1038/oby.2009.426.
Abidin, Norhaslinda Zainal, Mustafa Mamat, and Tengku Hizam Tengku. 2014. System Dynamics Modelling and its Implications for Childhood Obesity Prevention : Evidence from Improving the Consumption of Portion Size and Meal Frequency. 8: 3283-3296.
Howell, R, O Wesselink, and E Pruyt. 2013. Using System Dynamics to model the HIV/AIDS epidemic in Botswana and Uganda. 10: 1-21.
Roberts, C, and Brian Dangerfield. 1990. Modelling The Epidemiological Consequences Of HIV Infection And AIDS: A Contribution From Operational Research. Journal of the Operational Research Society. 41: 273-289.
Lane, D. C., Monefeldt C., and Rosenhead J. V. 2000. Looking In The Wrong Place For Healthcare Improvements: A System Dynamics Study Of An Accident And Emergency Department. Journal Of The Operational Research. 51: 518-531.
Lane, D. C., and Husemann, E. 2007. System Dynamics Mapping Of Acute Patient Flows. Journal of the Operational Research Society 59: 213-224. doi:10.1057/palgrave.jors.2602498.
Supriatna, A. K., and Anggriani, N. 2012. System Dynamics Model of Wolbachia Infection in Dengue Transmission. Procedia Engineering. 50: 12-18. doi:10.1016/j.proeng.2012.10.002.
Ritchie-Dunham, James L., and Jorge F. Méndez Galván. 1999. Evaluating Epidemic Intervention Policies With Systems Thinking: A Case Study Of Dengue Fever In Mexico. System Dynamics Review. 15: 119-138. doi:10.1002/(SICI)1099-1727(199922)15:2<119::AID-SDR163>3.0.CO;2-G.
Brailsford, S. C., R. Berchi, V. De Angelis, and M. Mecoli. 2009. System Dynamics Models To Assess The Risk Of Mosquito-Borne Diseases And To Evaluate Control Policies.
Ibrahim, Azmi, Nor Azan, Mat Zin, and Noraidah Sahari Ashaari. 2011. Simulation Model for Predicting Dengue Fever Outbreak. World Academiy of Science, Engineering and Technology. 59: 67-69.
Trimble, John. 2013. Boundary Concepts in System Dynamics. 80-81.
Carrington, Lauren B, M Veronica Armijos, Louis Lambrechts, Christopher M Barker, and Thomas W Scott. 2013. Effects of Fluctuating Daily Temperatures at Critical Thermal Extremes on Aedes aegypti Life-History Traits. 8. doi:10.1371/journal.pone.0058824.
Brady, Oliver J, Michael a Johansson, Carlos a Guerra, Samir Bhatt, Nick Golding, David M Pigott, Hélène Delatte, et al. 2013. Modelling Adult Aedes Aegypti And Aedes Albopictus Survival At Different Temperatures In Laboratory And Field Settings. Parasites & Vectors. 6: 351. doi:10.1186/1756-3305-6-351.
Barlas, Yaman. 1996. Formal Aspects Of Model Validity And Validation In System Dynamics. System Dynamics Review. 12: 183-210. doi:10.1002/(SICI)1099-1727(199623)12:3<183::AID-SDR103>3.0.CO;2-4.
Sterman, J. D. 1984. Appropriate Summary Statistics For Evaluating The Historical Fit Of System Dynamics Models. Dynamica. 10: 51-66.
Morin, Cory, W., Andrew, C. Comrie, and Kacey, Ernst. 2013. Climate and Dengue Transmission : Evidence and Implications. Environ Health Perspect. 1264: 1264-1272.
Paulo, Estado De São. 2011. Article/Artigo A SARIMA Forecasting Model To Predict The Number Of Cases of dengue in Campinas, State of São Paulo, Brazil Um modelo SARIMA para predição do número de casos de dengue em Campinas. Revista da Sociedade Brasileira Medicina Tropical. 44: 436-440.
Fairos, W. Y. W., Azaki W. H. W., Alias L. M., and Wah, Y. B. 2010. Modelling Dengue Fever (DF) and Dengue Haemorrhagic Fever (DHF) Outbreak Using Poisson and Negative Binomial Model. Int J Math Comput Sci Eng. 4: 1-6.
Colón-González, Felipe J, Carlo Fezzi, Iain R Lake, and Paul R Hunter. 2013. The Effects Of Weather And Climate Change On Dengue. PLoS Neglected Tropical Diseases. 7: e2503. doi:10.1371/journal.pntd.0002503.
Gharbi, Myriam, Philippe Quenel, Joël Gustave, Sylvie Cassadou, Guy La Ruche, Laurent Girdary, and Laurence Marrama. 2011. Time Series Analysis Of Dengue Incidence In Guadeloupe, French West Indies: Forecasting Models Using Climate Variables As Predictors. BMC Infectious Diseases. 11: 166. BioMed Central Ltd doi:10.1186/1471-2334-11-166.
Downloads
Published
Issue
Section
License
Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.