Repository logo
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Српски
  • Yкраї́нська
  • Log In
    New user? Click here to register. Have you forgotten your password?
Repository logo
  • Communities & Collections
  • All of KAB-DR
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Српски
  • Yкраї́нська
  • Log In
    New user? Click here to register. Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Ayebare, Docus"

Now showing 1 - 1 of 1
Results Per Page
Sort Options
  • Loading...
    Thumbnail Image
    ItemEmbargo
    A Mathematical Model for the Transimission Dynamics of Malaria in Western Uganda: A Case Study of Kabale District.
    (Kabale University, 2024) Ayebare, Docus
    The aim of this research was to construct a mathematical framework describing the transmission dynamics of malaria in western Uganda. Malaria persists as one of the most widespread and deadly human infections globally, caused by the Plasmodium parasite and transmitted by female Anopheles mosquitoes during blood feeding. The mathematical model utilized in this study was structured upon the SIER framework. The model incorporated an analysis of both disease-free and endemic equilibrium points to assess their stability. Employing a matrix-based approach, the basic reproduction number R0 was calculated to quantify disease transmission dynamics. The findings indicate that the disease-free equilibrium of the model is stable locally and globally when R0 is less than 1. Conversely, the endemic equilibrium solution of the model was demonstrated to be globally asymptotically stable when R0 exceeds 1.

Kabale University copyright © 2025

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback