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Perception of COVID-19 Booster Dose Vaccine among Healthcare Workers in India and Saudi Arabia

Author

Listed:
  • Sajith Vellappally

    (Dental Health Department, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia
    Dental Biomaterials Research Chair, Dental Health Department, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia)

  • Sachin Naik

    (Dental Biomaterials Research Chair, Dental Health Department, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia)

  • Omar Alsadon

    (Dental Health Department, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia)

  • Abdulaziz Abdullah Al-Kheraif

    (Dental Biomaterials Research Chair, Dental Health Department, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia)

  • Haya Alayadi

    (Dental Health Department, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia)

  • Areej Jaber Alsiwat

    (Dental Health Department, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia)

  • Aswini Kumar

    (Department of Prosthodontics, Amritha School of Dentistry, Vishwavidyapeetham, Cochin 682041, KL, India)

  • Mohamed Hashem

    (Dental Health Department, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia)

  • Nibu Varghese

    (MACFAST, Tiruvalla 689101, KL, India)

  • Nebu George Thomas

    (Department of Periodontology, Pushpagiri College of Dental Sciences, Thiruvalla 689107, KL, India)

  • Sukumaran Anil

    (Department of Dentistry, Oral Health Institute, Hamad Medical Cooperation, Doha 3050, Qatar
    College of Dental Medicine, Qatar University, Doha 2713, Qatar)

Abstract

Background: COVID-19 vaccines were made available to the public by the end of 2020. However, little is known about COVID-19 booster dose (CBD) vaccine perception among healthcare workers (HCW) worldwide. The present study aims to assess the perception of CBD vaccines among healthcare workers in India and Saudi Arabia (SA). Methods: A cross-sectional study was conducted among HCWs in two countries, India and SA. Data were gathered through the use of a self-administered questionnaire. A convenience sampling technique was utilized to collect the data. Results: A total of 833 HCW responses were collected from the two countries, with 530 participants from India and 303 participants from SA responding to the questionnaire. Among them, 16% from India and 33% from SA were unwilling to take a CBD ( p < 0.005). The primary reasons for not being willing were concerns about whether the vaccine would be effective (32%) and concerns about probable long-term side effects (31%). Concerns about not knowing enough about the vaccination (30%) and the possibility of long-term side effects (28%) were the primary concerns in SA. Regression analysis showed that males, urban residents, and post-graduates were more willing to take the CBD. Conclusion: There is a good perception of CBD and some hesitancy in receiving the booster dose among HCWs in both countries. The introduction of personalized education, risk communication, and deliberate policy could help to reduce the number of people who are unwilling to take a booster shot.

Suggested Citation

  • Sajith Vellappally & Sachin Naik & Omar Alsadon & Abdulaziz Abdullah Al-Kheraif & Haya Alayadi & Areej Jaber Alsiwat & Aswini Kumar & Mohamed Hashem & Nibu Varghese & Nebu George Thomas & Sukumaran An, 2022. "Perception of COVID-19 Booster Dose Vaccine among Healthcare Workers in India and Saudi Arabia," IJERPH, MDPI, vol. 19(15), pages 1-11, July.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:8942-:d:869543
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    References listed on IDEAS

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    1. Ariana Remmel, 2021. "COVID vaccines and safety: what the research says," Nature, Nature, vol. 590(7847), pages 538-540, February.
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    Cited by:

    1. Mateusz Ciski & Krzysztof Rząsa, 2023. "Multiscale Geographically Weighted Regression in the Investigation of Local COVID-19 Anomalies Based on Population Age Structure in Poland," IJERPH, MDPI, vol. 20(10), pages 1-23, May.
    2. Qihui Xie & Yanan Xue, 2022. "The Prediction of Public Risk Perception by Internal Characteristics and External Environment: Machine Learning on Big Data," IJERPH, MDPI, vol. 19(15), pages 1-20, August.

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