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Evaluating the impact of double dose vaccination on SARS-CoV-2 spread through optimal control analysis.
Zarin, Rahat; Khan, Yousaf; Ahmad, Maryam; Khan, Amir; Humphries, Usa Wannasingha.
Afiliación
  • Zarin R; Department of Mathematics, Faculty of Science, King Mongkut's University of Technology, Thonburi, Bangkok, Thailand.
  • Khan Y; Department of Mathematics and Statistics, University of Swat, KPK, Pakistan.
  • Ahmad M; Department of Mathematics and Statistics, University of Swat, KPK, Pakistan.
  • Khan A; Department of Mathematics and Statistics, University of Swat, KPK, Pakistan.
  • Humphries UW; Department of Mathematics, Faculty of Science, King Mongkut's University of Technology, Thonburi, Bangkok, Thailand.
Comput Methods Biomech Biomed Engin ; : 1-23, 2024 Jun 19.
Article en En | MEDLINE | ID: mdl-38896534
ABSTRACT
This paper presents a new nonlinear epidemic model for the spread of SARS-CoV-2 that incorporates the effect of double dose vaccination. The model is analyzed using qualitative, stability, and sensitivity analysis techniques to investigate the impact of vaccination on the spread of the virus. We derive the basic reproduction number and perform stability analysis of the disease-free and endemic equilibrium points. The model is also subjected to sensitivity analysis to identify the most influential model parameters affecting the disease dynamics. The values of the parameters are estimated with the help of the least square curve fitting tools. Finally, the model is simulated numerically to assess the effectiveness of various control strategies, including vaccination and quarantine, in reducing the spread of the virus. Optimal control techniques are employed to determine the optimal allocation of resources for implementing control measures. Our results suggest that increasing the vaccination coverage, adherence to quarantine measures, and resource allocation are effective strategies for controlling the epidemic. The study provides valuable insights into the dynamics of the pandemic and offers guidance for policymakers in formulating effective control measures.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Comput Methods Biomech Biomed Engin Asunto de la revista: ENGENHARIA BIOMEDICA / FISIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Tailandia Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Comput Methods Biomech Biomed Engin Asunto de la revista: ENGENHARIA BIOMEDICA / FISIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Tailandia Pais de publicación: Reino Unido