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  Published Paper Details:

  Paper Title

Analyzing COVID-19 Vaccine Willingness Among Nigerian Students Using Data Mining

  Authors

  King Victory Echezonachukwu,  Ardee Joy Ocampo

  Keywords

COVID-19 Vaccine, Herd Immunity, Vaccine Willingness, Data Mining, Nigeria.

  Abstract


This study aimed to investigate the willingness of Nigerian students to receive the COVID-19 vaccine using data mining techniques. The study found that only a small percentage of respondents were willing to get vaccinated, with sociodemographic factors such as gender, age, and level of education driving vaccine hesitancy. Additionally, preferred type of information source, specific mistrust, and generalized beliefs were also significant factors driving vaccine hesitancy. The study recommends that school authorities implement systematic interventions to reduce vaccine hesitancy among students, including rebuilding trust in national health authorities and promoting educational awareness campaigns that offer clear and transparent information about the safety and effectiveness of COVID-19 vaccines. Further research is needed to identify the underlying reasons for vaccine hesitancy among Nigerian students.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2307044

  Paper ID - 240499

  Page Number(s) - a375-a397

  Pubished in - Volume 11 | Issue 7 | July 2023

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.35072

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  King Victory Echezonachukwu,  Ardee Joy Ocampo,   "Analyzing COVID-19 Vaccine Willingness Among Nigerian Students Using Data Mining", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 7, pp.a375-a397, July 2023, Available at :http://www.ijcrt.org/papers/IJCRT2307044.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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