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mathematical modelling and vaccination acceptability analysis of covid-19 in nigeria
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نویسنده
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adamu gambo ,ibrahim mohammed ,ejieji catherine ,yusuf hussaini bazata
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منبع
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mathematics and computational sciences - 2021 - دوره : 2 - شماره : 4 - صفحه:24 -40
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چکیده
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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.
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کلیدواژه
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mathematical model; vaccination acceptability; covid-19; sars-cov-2
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آدرس
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university of ilorin, department of mathematics, nigeria, university of ilorin, department of mathematics, nigeria, university of ilorin, department of mathematics, nigeria, nigerian army university biu, department of mathematics, nigeria
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پست الکترونیکی
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baz1979.hb@gmail.com
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Authors
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