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A novel collocation method with a coronavirus optimization algorithm for the optimal control of COVID-19: A case study of Wuhan, China.
Khanduzi, Raheleh; Jajarmi, Amin; Ebrahimzadeh, Asiyeh; Shahini, Mehdi.
Afiliación
  • Khanduzi R; Department of Mathematics and Statistics, Gonbad Kavous University, P.O. Box, 49717-99151, Gonbad Kavous, Iran. Electronic address: khanduzi@gonbad.ac.ir.
  • Jajarmi A; Department of Electrical Engineering, University of Bojnord, P.O. Box, 94531-1339, Bojnord, Iran. Electronic address: a.jajarmi@ub.ac.ir.
  • Ebrahimzadeh A; Department of Mathematics Education, Farhangian University, P.O. Box, 14665-889, Tehran, Iran. Electronic address: a.ebrahimzadeh@cfu.ac.ir.
  • Shahini M; Department of Mathematics and Statistics, Gonbad Kavous University, P.O. Box, 49717-99151, Gonbad Kavous, Iran. Electronic address: mehdi.shahini@gonbad.ac.ir.
Comput Biol Med ; 178: 108680, 2024 Aug.
Article en En | MEDLINE | ID: mdl-38843571
ABSTRACT
In this study, we develop a numerical optimization approach to address the challenge of optimal control in the spread of COVID-19. We evaluate the impact of various control strategies aimed at reducing the number of exposed and infectious individuals. Our novel approach employs Legendre wavelets, their derivative operational matrix, and a collocation method to transform the COVID-19 transmission optimal control model into a nonlinear programming (NLP) problem. To solve this problem, we employ a coronavirus optimization algorithm (COVIDOA) to determine the optimal control, state variables, and objective value. We investigate three control plans for this highly contagious disease, focusing on individual protection, rapid detection and treatment, detection with delay in treatment, and environmental viral dispersion as time-based control functions. These strategies are applied within an SEIR-type control model specific to COVID-19 in China, designed to mitigate disease spread. Lastly, we analyze the effects of various parameters within the COVID-19 spread model. Our numerical results highlight the significant impact of strategies that minimize the number of exposed and infectious individuals, particularly those related to rapid detection, detection delay, and environmental viral dispersion, in controlling and preventing the transmission of the COVID-19 virus.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / SARS-CoV-2 / COVID-19 Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Comput Biol Med Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / SARS-CoV-2 / COVID-19 Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Comput Biol Med Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos