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