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Optimal control of a two-group malaria transmission model with vaccination

  • S Y Tchoumi
  • , C W Chukwu
  • , M L Diagne
  • , H Rwezaura
  • , M L Juga
  • , J M Tchuenche
  • University of Ngaoundere
  • Georgia Southern University Department of Mathematics
  • Wake Forest University
  • Departement de Mathematiques
  • University of Dar Es Salaam
  • University of Johannesburg
  • University of the Witwatersrand

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

Malaria is a vector-borne disease that poses major health challenges globally, with the highest burden in children less than 5 years old. Prevention and treatment have been the main interventions measures until the recent groundbreaking highly recommended malaria vaccine by WHO for children below five. A two-group malaria model structured by age with vaccination of individuals aged below 5 years old is formulated and theoretically analyzed. The disease-free equilibrium is globally asymptotically stable when the disease-induced death rate in both human groups is zero. Descarte's rule of signs is used to discuss the possible existence of multiple endemic equilibria. By construction, mathematical models inherit the loss of information that could make prediction of model outcomes imprecise. Thus, a global sensitivity analysis of the basic reproduction number and the vaccination class as response functions using Latin-Hypercube Sampling in combination with partial rank correlation coefficient are graphically depicted. As expected, the most sensitive parameters are related to children under 5 years old. Through the application of optimal control theory, the best combination of interventions measures to mitigate the spread of malaria is investigated. Simulations results show that concurrently applying the three intervention measures, namely: personal protection, treatment, and vaccination of childreen under-five is the best strategy for fighting against malaria epidemic in a community, relative to using either single or any dual combination of intervention(s) at a time.

Original languageEnglish
Article number7
Pages (from-to)7
JournalNetwork Modeling Analysis in Health Informatics and Bioinformatics
Volume12
Issue number1
StatePublished - Dec 23 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Scopus Subject Areas

  • Computer Science (miscellaneous)
  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Computer Science Applications
  • Computer Networks and Communications
  • Urology
  • Computational Mathematics

Keywords

  • Malaria
  • Optimal control
  • Sensitivity analysis
  • Vaccination

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