MATHEMATICAL MODEL OF REPELLENT EFFECT IN DENGUE TRANSMISSION

Dengue is a disease caused by the dengue virus, transmitted through the bite of an infected female Aedes aegypti. Dengue virus is a member of the genus Flavivirus, family Flaviviridae. Indonesia is one of the countries with the most dengue cases in Southeast Asia. Therefore, dengue transmission must...

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Published in:Barekeng
Main Authors: Dewi Handayani, Audri Utami Gunadi, Ria Nurlita Rachmawati
Format: Article
Language:English
Published: Universitas Pattimura 2024-05-01
Subjects:
Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/11530
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author Dewi Handayani
Audri Utami Gunadi
Ria Nurlita Rachmawati
author_facet Dewi Handayani
Audri Utami Gunadi
Ria Nurlita Rachmawati
author_sort Dewi Handayani
collection DOAJ
container_title Barekeng
description Dengue is a disease caused by the dengue virus, transmitted through the bite of an infected female Aedes aegypti. Dengue virus is a member of the genus Flavivirus, family Flaviviridae. Indonesia is one of the countries with the most dengue cases in Southeast Asia. Therefore, dengue transmission must be controlled to reduce the increase in dengue cases. One of the controls is by using repellents. Repellent is one of the human protection strategies to avoid mosquito bites used by spraying or smearing. This study models dengue transmission by reviewing the effect and control of repellent. A mathematical model of repellent effect and control in dengue transmission uses a SIR compartment model. The SIR model is modified by involving mosquitoes and the human population. Repellent is used in both susceptible humans, infected humans, and recovered humans. Numerical and analytical simulations are conducted to analyze the behavior of each compartment of the mosquito and human populations in dengue transmission. Analytical results show that the factors affecting the spread of infection are the transmission rate of the dengue virus and the loss of human-repellent protection. The transmission rate of dengue virus in the interval  increases the infected human by 2.73%, while the rate of loss of human repellent protection in the interval  increases the infected human by 0.03%. Optimal control is used to minimize the number of infected humans who do not use repellent. The results of numerical simulations on the optimal control problem show that an increase in the proportion of healthy humans who have campaign effect and use repellent regularly in the range of 14.67% can reduce infected individuals by 0.647%.
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spelling doaj-art-e4cd2fbbce7e4a5689ddabb1965b05bb2025-08-20T04:00:48ZengUniversitas PattimuraBarekeng1978-72272615-30172024-05-011821037105210.30598/barekengvol18iss2pp1037-105211530MATHEMATICAL MODEL OF REPELLENT EFFECT IN DENGUE TRANSMISSIONDewi Handayani0Audri Utami Gunadi1Ria Nurlita Rachmawati2Industrial and Financial Mathematics Expertise Group, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, IndonesiaIndustrial and Financial Mathematics Expertise Group, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, IndonesiaIndustrial and Financial Mathematics Expertise Group, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, IndonesiaDengue is a disease caused by the dengue virus, transmitted through the bite of an infected female Aedes aegypti. Dengue virus is a member of the genus Flavivirus, family Flaviviridae. Indonesia is one of the countries with the most dengue cases in Southeast Asia. Therefore, dengue transmission must be controlled to reduce the increase in dengue cases. One of the controls is by using repellents. Repellent is one of the human protection strategies to avoid mosquito bites used by spraying or smearing. This study models dengue transmission by reviewing the effect and control of repellent. A mathematical model of repellent effect and control in dengue transmission uses a SIR compartment model. The SIR model is modified by involving mosquitoes and the human population. Repellent is used in both susceptible humans, infected humans, and recovered humans. Numerical and analytical simulations are conducted to analyze the behavior of each compartment of the mosquito and human populations in dengue transmission. Analytical results show that the factors affecting the spread of infection are the transmission rate of the dengue virus and the loss of human-repellent protection. The transmission rate of dengue virus in the interval  increases the infected human by 2.73%, while the rate of loss of human repellent protection in the interval  increases the infected human by 0.03%. Optimal control is used to minimize the number of infected humans who do not use repellent. The results of numerical simulations on the optimal control problem show that an increase in the proportion of healthy humans who have campaign effect and use repellent regularly in the range of 14.67% can reduce infected individuals by 0.647%.https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/11530dengueoptimal repellent controlhumans with repellenthuman without repellentinfected mosquitos
spellingShingle Dewi Handayani
Audri Utami Gunadi
Ria Nurlita Rachmawati
MATHEMATICAL MODEL OF REPELLENT EFFECT IN DENGUE TRANSMISSION
dengue
optimal repellent control
humans with repellent
human without repellent
infected mosquitos
title MATHEMATICAL MODEL OF REPELLENT EFFECT IN DENGUE TRANSMISSION
title_full MATHEMATICAL MODEL OF REPELLENT EFFECT IN DENGUE TRANSMISSION
title_fullStr MATHEMATICAL MODEL OF REPELLENT EFFECT IN DENGUE TRANSMISSION
title_full_unstemmed MATHEMATICAL MODEL OF REPELLENT EFFECT IN DENGUE TRANSMISSION
title_short MATHEMATICAL MODEL OF REPELLENT EFFECT IN DENGUE TRANSMISSION
title_sort mathematical model of repellent effect in dengue transmission
topic dengue
optimal repellent control
humans with repellent
human without repellent
infected mosquitos
url https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/11530
work_keys_str_mv AT dewihandayani mathematicalmodelofrepellenteffectindenguetransmission
AT audriutamigunadi mathematicalmodelofrepellenteffectindenguetransmission
AT rianurlitarachmawati mathematicalmodelofrepellenteffectindenguetransmission