IDEAS home Printed from https://ideas.repec.org/a/hin/jnddns/5759834.html
   My bibliography  Save this article

Global Stability of Malaria Transmission Dynamics Model with Logistic Growth

Author

Listed:
  • Abadi Abay Gebremeskel

Abstract

Mathematical models become an important and popular tools to understand the dynamics of the disease and give an insight to reduce the impact of malaria burden within the community. Thus, this paper aims to apply a mathematical model to study global stability of malaria transmission dynamics model with logistic growth. Analysis of the model applies scaling and sensitivity analysis and sensitivity analysis of the model applied to understand the important parameters in transmission and prevalence of malaria disease. We derive the equilibrium points of the model and investigated their stabilities. The results of our analysis have shown that if , then the disease-free equilibrium is globally asymptotically stable, and the disease dies out; if , then the unique endemic equilibrium point is globally asymptotically stable and the disease persists within the population. Furthermore, numerical simulations in the application of the model showed the abrupt and periodic variations.

Suggested Citation

  • Abadi Abay Gebremeskel, 2018. "Global Stability of Malaria Transmission Dynamics Model with Logistic Growth," Discrete Dynamics in Nature and Society, Hindawi, vol. 2018, pages 1-12, March.
  • Handle: RePEc:hin:jnddns:5759834
    DOI: 10.1155/2018/5759834
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/DDNS/2018/5759834.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/DDNS/2018/5759834.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2018/5759834?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kuddus, Md Abdul & Rahman, Azizur, 2022. "Modelling and analysis of human–mosquito malaria transmission dynamics in Bangladesh," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 193(C), pages 123-138.

    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:hin:jnddns:5759834. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.