• Title of article

    Mathematical modelling and vaccination acceptability analysis of COVID-19 in Nigeria

  • Author/Authors

    Adamu ، Gambo Department of mathematics - University of Ilorin , Ibrahim ، Mohammed Department of Mathematics - University of Ilorin , Ejieji ، Catherine Department of Mathematics - University of Ilorin , Yusuf ، Hussaini Bazata Department of Mathematics - Nigerian Army University Biu

  • From page
    24
  • To page
    40
  • Abstract
    Some The novel coronavirus 2019 known as (COVID-19) pandemic caused by SARS-CoV-2 occurred in Wuhan town of China in 2019. The virus has rapidly spread all over the world and has continued to affect the public well-being. This paper focuses on a mathematical model with vaccination acceptability of COVID-19 with which to examine to what extent the vaccine would be accepted in Nigeria. Specifically, the paper introduces a compartmental model to measure the potential impact of the COVID-19 vaccine. The vaccination acceptability model results show that up to 80% of the Nigerian populace accepted the vaccination campaign, despite the gabs on the COVID-19 vaccine by some health workers and the communities in Nigeria. It also shows that 90% vaccinated susceptible plus 50% effectiveness of face-mask use has brought about a decrease of the pandemic while mortality rate has decreased drastically which shows that the vaccine is effective. The result also reveals that the recovered individuals from COVID-19 have increased in alignment and, the vaccine has a significant impact on the populace. Finally, possible extensions of the model as well as open challenges associated with the formulation and analysis of COVID-19 dynamics will be addressed.
  • Keywords
    Mathematical model , Vaccination acceptability , COVID , 19 , SARS , CoV , 2
  • Journal title
    Mathematics and Computational Sciences
  • Journal title
    Mathematics and Computational Sciences
  • Record number

    2723892