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. 2021 May-Jun;15(3):1017-1022.
doi: 10.1016/j.dsx.2021.05.006. Epub 2021 May 8.

Using structural equation modeling to predict Indian people's attitudes and intentions towards COVID-19 vaccination

Hilal Hamid Mir  1 , Subeena Parveen  2 , Naushadul Haque Mullick  3 , Shazia Nabi  2
Affiliations

Using structural equation modeling to predict Indian people's attitudes and intentions towards COVID-19 vaccination

Hilal Hamid Mir et al. Diabetes Metab Syndr. 2021 May-Jun.

Abstract

Background and aim: Understanding people's attitudes towards Covid-19 vaccination is crucial to the successful implementation of a vaccination program. Hence this research study seeks to identify critical factors influencing Indian people's attitudes and intentions to take up Covid-19 vaccinations.

Methods: An online questionnaire was administered to a sample (n = 254) drawn from Indian population, to assess the impact of perceived benefits, risk perceptions, social media exposure, social norms, and trust associated with Covid-19 vaccines on people's attitudes towards Covid-19 vaccines and their intentions to take up the Covid-19 vaccinations.

Results: The findings showed that the perceived benefits, social norms, and trust correlated significantly with people's attitudes towards Covid-19 vaccinations. In contrast, risk perceptions and social media exposure showed an insignificant influence on people's attitudes towards Covid-19 vaccinations. Social norms, trust, and people's attitudes towards the Covid-19 vaccinations are significantly correlated with their intentions to take up Covid-19 vaccinations. On the contrary, social media exposure was found to have an insignificant influence on people's intentions to take up Covid-19 vaccinations.

Conclusion: Participants' intentions to take up Covid-19 vaccinations was influenced mainly by their attitudes and perceptions of Covid-19 vaccines in general, which strongly confirms the importance of various dimensions (perceived benefits, trust, social norms) of Covid-19 vaccines in cultivating Covid-19 vaccination acceptance among participants'.

Keywords: Covid-19 vaccination; Health belief model (HBM); Statistical analysis; Structural equation modeling; Theory of planned behavior (TPB).

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Conflict of interest statement

Declaration of competing interest The authors have no Competing or conflicting interests.

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Fig. 1
Proposed conceptual framework.
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References

    1. Conlon A., Ms C.A., Washer L., Eagle K.A., Bowman M.A.H. Impact of the influenza vaccine on COVID-19 infection rates and severity. AJIC Am J Infect Control. 2021 doi: 10.1016/j.ajic.2021.02.012. [Internet] Available from: - DOI - PMC - PubMed
    1. Dong E., Du H., Gardner L. The Lancet Infectious Diseases. vol. 20. Lancet Publishing Group; 2020. An interactive web-based dashboard to track COVID-19 in real time.https://www.who.int/china/news/ [Internet] [cited 2021 Mar 2]. p. 533–4. Available from: - PMC - PubMed
    1. Foy B.H., Wahl B., Mehta K., Shet A., Menon G.I., Britto C. Comparing COVID-19 vaccine allocation strategies in India: a mathematical modelling study. Int J Infect Dis. 2021;103:431–438. doi: 10.1016/j.ijid.2020.12.075. [Internet] Available from: - DOI - PMC - PubMed
    1. Li T., Zhang T., Gu Y., Li S., Xia N. Current progress and challenges in the design and development of a successful COVID-19 vaccine. Fundam Res. 2021 doi: 10.1016/j.fmre.2021.01.011. [Internet] 0–56. Available from: - DOI
    1. Deng S.-Q., Peng H.-J. Characteristics of and public health responses to the coronavirus disease 2019 outbreak in China. J Clin Med. 2020 Feb 20;9(2):575. https://pubmed.ncbi.nlm.nih.gov/32093211/ [Internet] [cited 2021 Mar 2] Available from: - PMC - PubMed

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