PREDICTION OF DENGUE FEVER EPIDEMIC SPREADING USING DYNAMICS TRANSMISSION VECTOR MODEL

Authors

  • Retno Widyaningrum
    ijtidunair@gmail.com
    Department of Industrial Engineering, Industrial Technology Faculty, Institut Teknologi Sepuluh Nopember (ITS), Surabaya, Indonesia, Indonesia
  • Srigunani Partiwi Department of Industrial Engineering, Industrial Technology Faculty, Institut Teknologi Sepuluh Nopember (ITS), Surabaya, Indonesia, Indonesia
  • Arief Rahman Department of Industrial Engineering, Industrial Technology Faculty, Institut Teknologi Sepuluh Nopember (ITS), Surabaya, Indonesia, Indonesia
  • Adithya Sudiarno Department of Industrial Engineering, Industrial Technology Faculty, Institut Teknologi Sepuluh Nopember (ITS), Surabaya, Indonesia, Indonesia

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Increasing number of dengue cases in Surabaya shows that its city has high potential of dengue fever epidemic. Although some policies were designed by Surabaya Health Department, such as fogging and mosquito’s nest eradication, but these efforts still out of target because of inaccurate predictions. Ineffectiveness eradication of dengue fever epidemic is caused by lack of information and knowledge on environmental conditions in Surabaya. Developing spread and prediction system to minimize dengue fever epidemic
is necessary to be conducted immediately. Spread and prediction system can improve eradication and prevention accuracy. The transmission dynamics vector simulation will be used as an approach to draw a complex system of mosquito life cycle in which involve a lot of factors. Dynamics transmission model used to build model in mosquito model (oviposition rate and pre adult mosquito), infected and death cases in dengue fever. The model of mosquito and infected population can represent system. The output of this research is website of spread and prediction system of dengue fever epidemics to predict growth rate of Aedes Aegypti mosquito, infected, and death population because of dengue fever epidemics. The deviation of infected population is 0,519. The model of death cases in dengue fever is less precision with the deviation 1,229. Death cases model need improvement by adding some variables that influence to dengue fever death cases. Spread of dengue fever prediction will help the government, health department to decide the best policies in minimizing the spread of dengue fever epidemics.