An Optimal Integrated Vector Control for Prevention the Transmission of Dengue

Dengue is a tropical infectious disease caused by dengue virus which is transmitted by mosquitos such as Aedes Aegypti and Aedes Albopictus. The spread of this disease could be controlled by applying some optimal strategies. In this research, we study optimal strategy in controlling the spread of de...

Full description

Saved in:
Bibliographic Details
Main Authors: Kasbawati, .-, Surya Ningsih, .-, Agustinus Riba, .-, Fatmawati, .-
Format: Book Section PeerReviewed
Language:English
English
English
Published: IOP Publishing 2018
Subjects:
Online Access:https://repository.unair.ac.id/114310/1/C40.%20Fulltext.pdf
https://repository.unair.ac.id/114310/2/C40.%20Reviewer%20dan%20validasi.pdf
https://repository.unair.ac.id/114310/3/C40.%20Similarity.pdf
https://repository.unair.ac.id/114310/
https://iopscience.iop.org/article/10.1088/1742-6596/1245/1/012043/pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universitas Airlangga
Language: English
English
English
id id-langga.114310
record_format dspace
spelling id-langga.1143102022-03-24T05:47:14Z https://repository.unair.ac.id/114310/ An Optimal Integrated Vector Control for Prevention the Transmission of Dengue Kasbawati, .- Surya Ningsih, .- Agustinus Riba, .- Fatmawati, .- Q Science QA Mathematics QA370-387 Differential Equations Dengue is a tropical infectious disease caused by dengue virus which is transmitted by mosquitos such as Aedes Aegypti and Aedes Albopictus. The spread of this disease could be controlled by applying some optimal strategies. In this research, we study optimal strategy in controlling the spread of dengue by taking into consideration an integrated vector control strategy. The strategy combines chemical and non-chemical vector control methods to prevent the transmission of vector-borne disease. If we assume that the control functions are constant functions then numerically we obtain a critical chemical control which leads to the non-endemic condition. When the chemical and non-chemical controls are varying in time, we obtain the analytical form of the both control functions by using Pontryagin Maximum Principle. The numerical simulations are performed using the Steepest Descent method and the results show that the peak of the non-chemical control effect occurs at the end of the observation time. Conversely, the chemical control reaches the maximum effect at the early of the observation time. It indicates that the integrated vector control strategy is a continuous prevention method that succefully ensures the system free from dengue infection. IOP Publishing 2018 Book Section PeerReviewed text en https://repository.unair.ac.id/114310/1/C40.%20Fulltext.pdf text en https://repository.unair.ac.id/114310/2/C40.%20Reviewer%20dan%20validasi.pdf text en https://repository.unair.ac.id/114310/3/C40.%20Similarity.pdf Kasbawati, .- and Surya Ningsih, .- and Agustinus Riba, .- and Fatmawati, .- (2018) An Optimal Integrated Vector Control for Prevention the Transmission of Dengue. In: International Conference on Mathemaatics and Natural Sciences (ICMNS). IOP Publishing, ITB, Jawa Barat. https://iopscience.iop.org/article/10.1088/1742-6596/1245/1/012043/pdf
institution Universitas Airlangga
building Universitas Airlangga Library
continent Asia
country Indonesia
Indonesia
content_provider Universitas Airlangga Library
collection UNAIR Repository
language English
English
English
topic Q Science
QA Mathematics
QA370-387 Differential Equations
spellingShingle Q Science
QA Mathematics
QA370-387 Differential Equations
Kasbawati, .-
Surya Ningsih, .-
Agustinus Riba, .-
Fatmawati, .-
An Optimal Integrated Vector Control for Prevention the Transmission of Dengue
description Dengue is a tropical infectious disease caused by dengue virus which is transmitted by mosquitos such as Aedes Aegypti and Aedes Albopictus. The spread of this disease could be controlled by applying some optimal strategies. In this research, we study optimal strategy in controlling the spread of dengue by taking into consideration an integrated vector control strategy. The strategy combines chemical and non-chemical vector control methods to prevent the transmission of vector-borne disease. If we assume that the control functions are constant functions then numerically we obtain a critical chemical control which leads to the non-endemic condition. When the chemical and non-chemical controls are varying in time, we obtain the analytical form of the both control functions by using Pontryagin Maximum Principle. The numerical simulations are performed using the Steepest Descent method and the results show that the peak of the non-chemical control effect occurs at the end of the observation time. Conversely, the chemical control reaches the maximum effect at the early of the observation time. It indicates that the integrated vector control strategy is a continuous prevention method that succefully ensures the system free from dengue infection.
format Book Section
PeerReviewed
author Kasbawati, .-
Surya Ningsih, .-
Agustinus Riba, .-
Fatmawati, .-
author_facet Kasbawati, .-
Surya Ningsih, .-
Agustinus Riba, .-
Fatmawati, .-
author_sort Kasbawati, .-
title An Optimal Integrated Vector Control for Prevention the Transmission of Dengue
title_short An Optimal Integrated Vector Control for Prevention the Transmission of Dengue
title_full An Optimal Integrated Vector Control for Prevention the Transmission of Dengue
title_fullStr An Optimal Integrated Vector Control for Prevention the Transmission of Dengue
title_full_unstemmed An Optimal Integrated Vector Control for Prevention the Transmission of Dengue
title_sort optimal integrated vector control for prevention the transmission of dengue
publisher IOP Publishing
publishDate 2018
url https://repository.unair.ac.id/114310/1/C40.%20Fulltext.pdf
https://repository.unair.ac.id/114310/2/C40.%20Reviewer%20dan%20validasi.pdf
https://repository.unair.ac.id/114310/3/C40.%20Similarity.pdf
https://repository.unair.ac.id/114310/
https://iopscience.iop.org/article/10.1088/1742-6596/1245/1/012043/pdf
_version_ 1728422295169400832