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...
Saved in:
Main Authors: | , , , |
---|---|
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 |