Control strategies of avian influenza pandemic model with time delay

A mathematical model for avian influenza with optimal control strategies is presented as a system of discrete time delay differential equations (DDEs) and its important mathematical features are analyzed. In alignment to manage this, we develop an optimally controlled pandemic model of avian influen...

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Main Authors: Roman, U., Gul, Z., Saeed, I., Hakeem, U., Shafie, S.
Format: Article
Published: World Scientific Publishing Co. Pte Ltd 2017
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Online Access:http://eprints.utm.my/id/eprint/81119/
http://dx.doi.org/10.1142/S1793524517501042
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Institution: Universiti Teknologi Malaysia
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spelling my.utm.811192019-07-24T03:10:00Z http://eprints.utm.my/id/eprint/81119/ Control strategies of avian influenza pandemic model with time delay Roman, U. Gul, Z. Saeed, I. Hakeem, U. Shafie, S. QA Mathematics A mathematical model for avian influenza with optimal control strategies is presented as a system of discrete time delay differential equations (DDEs) and its important mathematical features are analyzed. In alignment to manage this, we develop an optimally controlled pandemic model of avian influenza and insert a time delay with exponential factor. Then we apply two controlled functions in the form of biosecurity of poultry and the education campaign against avian influenza to control the disperse of the disease. Our optimal control strategies will minimize the number of contaminated humans and contaminated birds. We also derive the basic reproduction number to examine the dynamical behavior of the model and demonstrate the existence of the controlled system. For the justification of our work, we present numerical simulations. World Scientific Publishing Co. Pte Ltd 2017 Article PeerReviewed Roman, U. and Gul, Z. and Saeed, I. and Hakeem, U. and Shafie, S. (2017) Control strategies of avian influenza pandemic model with time delay. International Journal of Biomathematics, 10 (7). ISSN 1793-5245 http://dx.doi.org/10.1142/S1793524517501042 DOI:10.1142/S1793524517501042
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA Mathematics
spellingShingle QA Mathematics
Roman, U.
Gul, Z.
Saeed, I.
Hakeem, U.
Shafie, S.
Control strategies of avian influenza pandemic model with time delay
description A mathematical model for avian influenza with optimal control strategies is presented as a system of discrete time delay differential equations (DDEs) and its important mathematical features are analyzed. In alignment to manage this, we develop an optimally controlled pandemic model of avian influenza and insert a time delay with exponential factor. Then we apply two controlled functions in the form of biosecurity of poultry and the education campaign against avian influenza to control the disperse of the disease. Our optimal control strategies will minimize the number of contaminated humans and contaminated birds. We also derive the basic reproduction number to examine the dynamical behavior of the model and demonstrate the existence of the controlled system. For the justification of our work, we present numerical simulations.
format Article
author Roman, U.
Gul, Z.
Saeed, I.
Hakeem, U.
Shafie, S.
author_facet Roman, U.
Gul, Z.
Saeed, I.
Hakeem, U.
Shafie, S.
author_sort Roman, U.
title Control strategies of avian influenza pandemic model with time delay
title_short Control strategies of avian influenza pandemic model with time delay
title_full Control strategies of avian influenza pandemic model with time delay
title_fullStr Control strategies of avian influenza pandemic model with time delay
title_full_unstemmed Control strategies of avian influenza pandemic model with time delay
title_sort control strategies of avian influenza pandemic model with time delay
publisher World Scientific Publishing Co. Pte Ltd
publishDate 2017
url http://eprints.utm.my/id/eprint/81119/
http://dx.doi.org/10.1142/S1793524517501042
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