Sub-optimal control in the Zika virus epidemic model using differential evolution
© 2018 by the authors. A dynamical model of Zika virus (ZIKV) epidemic with direct transmission, sexual transmission, and vertical transmission is developed. A sub-optimal control problem to counter against the disease is proposed including three controls: vector elimination, vector-to-human contact...
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th-mahidol.460992019-08-23T18:29:54Z Sub-optimal control in the Zika virus epidemic model using differential evolution Nonthamon Chaikham Wannika Sawangtong Thailand Ministry of Education Mahidol University Mathematics © 2018 by the authors. A dynamical model of Zika virus (ZIKV) epidemic with direct transmission, sexual transmission, and vertical transmission is developed. A sub-optimal control problem to counter against the disease is proposed including three controls: vector elimination, vector-to-human contact reduction, and sexual contact reduction. Each control variable is discretized into piece-wise constant intervals. The problem is solved by Differential Evolution (DE), which is one of the evolutionary algorithm developed for optimization. Two scenarios, namely four time horizons and eight time horizons, are compared and discussed. The simulations show that models with controls lead to decreasing the number of patients as well as epidemic period length. From the optimal solution, vector elimination is the prioritized strategy for disease control. 2019-08-23T11:29:54Z 2019-08-23T11:29:54Z 2018-08-23 Article Axioms. Vol.7, No.3 (2018) 10.3390/axioms7030061 20751680 2-s2.0-85052827385 https://repository.li.mahidol.ac.th/handle/123456789/46099 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85052827385&origin=inward |
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Mathematics Nonthamon Chaikham Wannika Sawangtong Sub-optimal control in the Zika virus epidemic model using differential evolution |
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© 2018 by the authors. A dynamical model of Zika virus (ZIKV) epidemic with direct transmission, sexual transmission, and vertical transmission is developed. A sub-optimal control problem to counter against the disease is proposed including three controls: vector elimination, vector-to-human contact reduction, and sexual contact reduction. Each control variable is discretized into piece-wise constant intervals. The problem is solved by Differential Evolution (DE), which is one of the evolutionary algorithm developed for optimization. Two scenarios, namely four time horizons and eight time horizons, are compared and discussed. The simulations show that models with controls lead to decreasing the number of patients as well as epidemic period length. From the optimal solution, vector elimination is the prioritized strategy for disease control. |
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Thailand Ministry of Education |
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Thailand Ministry of Education Nonthamon Chaikham Wannika Sawangtong |
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Article |
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Nonthamon Chaikham Wannika Sawangtong |
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Nonthamon Chaikham |
title |
Sub-optimal control in the Zika virus epidemic model using differential evolution |
title_short |
Sub-optimal control in the Zika virus epidemic model using differential evolution |
title_full |
Sub-optimal control in the Zika virus epidemic model using differential evolution |
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Sub-optimal control in the Zika virus epidemic model using differential evolution |
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Sub-optimal control in the Zika virus epidemic model using differential evolution |
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sub-optimal control in the zika virus epidemic model using differential evolution |
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2019 |
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https://repository.li.mahidol.ac.th/handle/123456789/46099 |
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