A note on the use of optimal control on a discrete time model of influenza dynamics

A discrete time Susceptible - Asymptomatic - Infectious - Treated - Recovered (SAITR) model is introduced in the context of influenza transmission.We evaluate the potential effect of control measures such as social distancing and antiviral treatment on the dynamics of a single outbreak.Optimal contr...

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Main Authors: Paula A. González-Parra, Sunmi Lee, Leticia Velázquez, Carlos Castillo-Chavez
Format: Article
Language:English
Published: AIMS Press 2010-12-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2011.8.183
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author Paula A. González-Parra
Sunmi Lee
Leticia Velázquez
Carlos Castillo-Chavez
author_facet Paula A. González-Parra
Sunmi Lee
Leticia Velázquez
Carlos Castillo-Chavez
author_sort Paula A. González-Parra
collection DOAJ
description A discrete time Susceptible - Asymptomatic - Infectious - Treated - Recovered (SAITR) model is introduced in the context of influenza transmission.We evaluate the potential effect of control measures such as social distancing and antiviral treatment on the dynamics of a single outbreak.Optimal control theory is applied to identify the best way of reducing morbidity and mortality at a minimal cost. The problem is solved by using a discrete version of Pontryagin's maximum principle. Numerical results show that dual strategies have stronger impact in the reduction of the final epidemic size.
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series Mathematical Biosciences and Engineering
spelling doaj-art-cff76bd0791f43fca5de0590d16a3c8f2025-01-24T02:01:20ZengAIMS PressMathematical Biosciences and Engineering1551-00182010-12-018118319710.3934/mbe.2011.8.183A note on the use of optimal control on a discrete time model of influenza dynamicsPaula A. González-Parra0Sunmi Lee1Leticia Velázquez2Carlos Castillo-Chavez3Program in Computational Science, The University of Texas at El Paso, El Paso, TX 79968-0514Program in Computational Science, The University of Texas at El Paso, El Paso, TX 79968-0514Program in Computational Science, The University of Texas at El Paso, El Paso, TX 79968-0514Program in Computational Science, The University of Texas at El Paso, El Paso, TX 79968-0514A discrete time Susceptible - Asymptomatic - Infectious - Treated - Recovered (SAITR) model is introduced in the context of influenza transmission.We evaluate the potential effect of control measures such as social distancing and antiviral treatment on the dynamics of a single outbreak.Optimal control theory is applied to identify the best way of reducing morbidity and mortality at a minimal cost. The problem is solved by using a discrete version of Pontryagin's maximum principle. Numerical results show that dual strategies have stronger impact in the reduction of the final epidemic size.https://www.aimspress.com/article/doi/10.3934/mbe.2011.8.183antiviral treatment.influenzaoptimal controlsocial distancing
spellingShingle Paula A. González-Parra
Sunmi Lee
Leticia Velázquez
Carlos Castillo-Chavez
A note on the use of optimal control on a discrete time model of influenza dynamics
Mathematical Biosciences and Engineering
antiviral treatment.
influenza
optimal control
social distancing
title A note on the use of optimal control on a discrete time model of influenza dynamics
title_full A note on the use of optimal control on a discrete time model of influenza dynamics
title_fullStr A note on the use of optimal control on a discrete time model of influenza dynamics
title_full_unstemmed A note on the use of optimal control on a discrete time model of influenza dynamics
title_short A note on the use of optimal control on a discrete time model of influenza dynamics
title_sort note on the use of optimal control on a discrete time model of influenza dynamics
topic antiviral treatment.
influenza
optimal control
social distancing
url https://www.aimspress.com/article/doi/10.3934/mbe.2011.8.183
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