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
Link To Document :
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