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Transmission process of dengue fever can be presented in a mathematical model as a non linear differential equations system. From this model of dengue transmission, the number of infected people (host population) by a time unit is influenced by the biting rate of the vector, such as Aedes aegypti...

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Main Author: ASTARINADEA, RAHMI
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/19213
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:19213
spelling id-itb.:192132017-09-27T11:43:12Z#TITLE_ALTERNATIVE# ASTARINADEA, RAHMI Indonesia Final Project dengue transmission, host, vector, dengue fever, estimating parameter, Finite Element Method, Euler Method, Regularized Least Square. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/19213 Transmission process of dengue fever can be presented in a mathematical model as a non linear differential equations system. From this model of dengue transmission, the number of infected people (host population) by a time unit is influenced by the biting rate of the vector, such as Aedes aegypti , the transmission probability from vector to host, and the proportion of susceptible host in the whole of host population times with the number of infected vector. Biting rate of the vector and transmission probability from vector to host are parameters that will be estimated. These parameters are estimated using the Finite Element Method with Euler Method and Regularized Least Square, where daily new infected data is used. In this final project, the new infected data of dengue fever patient in Borromeus Hospital Bandung during 2008 is used to see the effectiveness of the method. The estimated parameters represent proportion of transmission probability from vector to host in the whole of host population and biting rate of the vector in a day can influence the number of infected people by the dengue fever. Relation between the estimated parameters with the number of infected people by the dengue fever can be measured by coefficient of correlation. From the numerical results we obtain positive linear relation between the estimated parameters and the infected people. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Transmission process of dengue fever can be presented in a mathematical model as a non linear differential equations system. From this model of dengue transmission, the number of infected people (host population) by a time unit is influenced by the biting rate of the vector, such as Aedes aegypti , the transmission probability from vector to host, and the proportion of susceptible host in the whole of host population times with the number of infected vector. Biting rate of the vector and transmission probability from vector to host are parameters that will be estimated. These parameters are estimated using the Finite Element Method with Euler Method and Regularized Least Square, where daily new infected data is used. In this final project, the new infected data of dengue fever patient in Borromeus Hospital Bandung during 2008 is used to see the effectiveness of the method. The estimated parameters represent proportion of transmission probability from vector to host in the whole of host population and biting rate of the vector in a day can influence the number of infected people by the dengue fever. Relation between the estimated parameters with the number of infected people by the dengue fever can be measured by coefficient of correlation. From the numerical results we obtain positive linear relation between the estimated parameters and the infected people.
format Final Project
author ASTARINADEA, RAHMI
spellingShingle ASTARINADEA, RAHMI
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author_facet ASTARINADEA, RAHMI
author_sort ASTARINADEA, RAHMI
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
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url https://digilib.itb.ac.id/gdl/view/19213
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