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Prevalence and Predictors of COVID-19 Vaccine Acceptance in a Healthcare Setting in Bauchi State, Northeastern Nigeria: Outcome of a Cross-Sectional Study

Received: 4 October 2024     Accepted: 28 October 2024     Published: 20 November 2024
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Abstract

Background: COVID-19 has been a deadly disease in the last three-four years with huge economic impact globally. Although it does not seem to be severe in our environment, but the aftermath is devastating. Public health preventing measures like limiting social gatherings, maintaining social distance, isolating infected persons, and lately vaccines were promising in controlling the spread of the infection and pandemic. Methodology: A descriptive cross-sectional research design was used to select samples of healthcare professionals who made the inclusion criteria. A stratified random sampling technique was used to select samples of 226 healthcare workers present at the clinics and offices. Data extracted were analyzed using frequencies, percentages, and chi-square test at 95% CI and a level of significance of 0.05. Result: The finding showed; the prevalence rate of vaccine acceptance is 82.3% and the chi-square tests analysis revealed a statistically significant association between vaccine acceptance and age (p-value=0.034), professionalism (p-value= <0.001), educational level (p-value=0.047) and year of working experience (p-value= 0.023). Conclusion: Prevalence of COVID-19 vaccination is generally high. However, a significant number of healthcare workers were hesitant to take it if not for government command. Sociodemographic factors were statistically associated with vaccine acceptance. We recommend healthcare workers across the state to be exposed to training on immunization and how to improve vaccine acceptance in the community.

Published in World Journal of Public Health (Volume 9, Issue 4)
DOI 10.11648/j.wjph.20240904.14
Page(s) 343-353
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Prevalence, COVID-19, Vaccination, Healthcare, Workers

References
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Cite This Article
  • APA Style

    Garkuwa, H. A., Kyamru, J. I., Garkuwa, U. A. (2024). Prevalence and Predictors of COVID-19 Vaccine Acceptance in a Healthcare Setting in Bauchi State, Northeastern Nigeria: Outcome of a Cross-Sectional Study. World Journal of Public Health, 9(4), 343-353. https://doi.org/10.11648/j.wjph.20240904.14

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    ACS Style

    Garkuwa, H. A.; Kyamru, J. I.; Garkuwa, U. A. Prevalence and Predictors of COVID-19 Vaccine Acceptance in a Healthcare Setting in Bauchi State, Northeastern Nigeria: Outcome of a Cross-Sectional Study. World J. Public Health 2024, 9(4), 343-353. doi: 10.11648/j.wjph.20240904.14

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    AMA Style

    Garkuwa HA, Kyamru JI, Garkuwa UA. Prevalence and Predictors of COVID-19 Vaccine Acceptance in a Healthcare Setting in Bauchi State, Northeastern Nigeria: Outcome of a Cross-Sectional Study. World J Public Health. 2024;9(4):343-353. doi: 10.11648/j.wjph.20240904.14

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  • @article{10.11648/j.wjph.20240904.14,
      author = {Hassan Adamu Garkuwa and James Iliya Kyamru and Usman Adamu Garkuwa},
      title = {Prevalence and Predictors of COVID-19 Vaccine Acceptance in a Healthcare Setting in Bauchi State, Northeastern Nigeria: Outcome of a Cross-Sectional Study
    },
      journal = {World Journal of Public Health},
      volume = {9},
      number = {4},
      pages = {343-353},
      doi = {10.11648/j.wjph.20240904.14},
      url = {https://doi.org/10.11648/j.wjph.20240904.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wjph.20240904.14},
      abstract = {Background: COVID-19 has been a deadly disease in the last three-four years with huge economic impact globally. Although it does not seem to be severe in our environment, but the aftermath is devastating. Public health preventing measures like limiting social gatherings, maintaining social distance, isolating infected persons, and lately vaccines were promising in controlling the spread of the infection and pandemic. Methodology: A descriptive cross-sectional research design was used to select samples of healthcare professionals who made the inclusion criteria. A stratified random sampling technique was used to select samples of 226 healthcare workers present at the clinics and offices. Data extracted were analyzed using frequencies, percentages, and chi-square test at 95% CI and a level of significance of 0.05. Result: The finding showed; the prevalence rate of vaccine acceptance is 82.3% and the chi-square tests analysis revealed a statistically significant association between vaccine acceptance and age (p-value=0.034), professionalism (p-value= <0.001), educational level (p-value=0.047) and year of working experience (p-value= 0.023). Conclusion: Prevalence of COVID-19 vaccination is generally high. However, a significant number of healthcare workers were hesitant to take it if not for government command. Sociodemographic factors were statistically associated with vaccine acceptance. We recommend healthcare workers across the state to be exposed to training on immunization and how to improve vaccine acceptance in the community.
    },
     year = {2024}
    }
    

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  • TY  - JOUR
    T1  - Prevalence and Predictors of COVID-19 Vaccine Acceptance in a Healthcare Setting in Bauchi State, Northeastern Nigeria: Outcome of a Cross-Sectional Study
    
    AU  - Hassan Adamu Garkuwa
    AU  - James Iliya Kyamru
    AU  - Usman Adamu Garkuwa
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    JF  - World Journal of Public Health
    JO  - World Journal of Public Health
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    EP  - 353
    PB  - Science Publishing Group
    SN  - 2637-6059
    UR  - https://doi.org/10.11648/j.wjph.20240904.14
    AB  - Background: COVID-19 has been a deadly disease in the last three-four years with huge economic impact globally. Although it does not seem to be severe in our environment, but the aftermath is devastating. Public health preventing measures like limiting social gatherings, maintaining social distance, isolating infected persons, and lately vaccines were promising in controlling the spread of the infection and pandemic. Methodology: A descriptive cross-sectional research design was used to select samples of healthcare professionals who made the inclusion criteria. A stratified random sampling technique was used to select samples of 226 healthcare workers present at the clinics and offices. Data extracted were analyzed using frequencies, percentages, and chi-square test at 95% CI and a level of significance of 0.05. Result: The finding showed; the prevalence rate of vaccine acceptance is 82.3% and the chi-square tests analysis revealed a statistically significant association between vaccine acceptance and age (p-value=0.034), professionalism (p-value= <0.001), educational level (p-value=0.047) and year of working experience (p-value= 0.023). Conclusion: Prevalence of COVID-19 vaccination is generally high. However, a significant number of healthcare workers were hesitant to take it if not for government command. Sociodemographic factors were statistically associated with vaccine acceptance. We recommend healthcare workers across the state to be exposed to training on immunization and how to improve vaccine acceptance in the community.
    
    VL  - 9
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