Indonesian Journal of Tropical and Infectious Disease
Vol 5, No 2 (2014)

PREDICTION OF DENGUE FEVER EPIDEMIC SPREADING USING DYNAMICS TRANSMISSION VECTOR MODEL

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



Article Info

Publish Date
06 Jul 2015

Abstract

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.

Copyrights © 2014






Journal Info

Abbrev

IJTID

Publisher

Subject

Earth & Planetary Sciences Health Professions Medicine & Pharmacology Public Health

Description

This journal is a peer-reviewed journal established to promote the recognition of emerging and reemerging diseases specifically in Indonesia, South East Asia, other tropical countries and around the world, and to improve the understanding of factors involved in disease emergence, prevention, and ...