IDEAS home Printed from https://ideas.repec.org/h/spr/spochp/978-3-031-33183-1_6.html
   My bibliography  Save this book chapter

An Optimal Vaccination Scenario for COVID-19 Transmission Between Children and Adults

In: Mathematical Modeling and Intelligent Control for Combating Pandemics

Author

Listed:
  • Derya Avcı

    (Balıkesir University)

  • Mine Yurtoğlu

    (Balıkesir University)

Abstract

This chapter presents the impact of adult vaccination as a control strategy on a model describing the spreading of COVID-19 between the kids and adults. The main goal is reducing the infected people with minimal vaccination costs. To succeed in this purpose, an optimal control problem is constructed. The Hamiltonian formalism is considered to get the optimality conditions. The fourth-order Runge–Kutta method structured with forward–backward sweep algorithm is implemented to arrive the numerical solutions. The graphical results show that adult vaccination is effective not only in reducing the infected adults but also in reducing the infected children. As a natural consequence of this, while adults return to their social and working lives very quickly thanks to vaccination, children also do not stay away from educational activities by this optimal vaccination strategy.

Suggested Citation

  • Derya Avcı & Mine Yurtoğlu, 2023. "An Optimal Vaccination Scenario for COVID-19 Transmission Between Children and Adults," Springer Optimization and Its Applications, in: Zakia Hammouch & Mohamed Lahby & Dumitru Baleanu (ed.), Mathematical Modeling and Intelligent Control for Combating Pandemics, pages 93-108, Springer.
  • Handle: RePEc:spr:spochp:978-3-031-33183-1_6
    DOI: 10.1007/978-3-031-33183-1_6
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:spochp:978-3-031-33183-1_6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.