A population-based dataset concerning predictors of willingness to get a COVID-19 vaccine in Iran

Pakpour, AH, Yahaghi, R, Ahmadizade, S, Fotuhi, R, Taherkhani, E, Ranjbaran, M, Buchali, Z, Lin, C-Y, Griffiths, MD ORCID: https://orcid.org/0000-0001-8880-6524 and Broström, A, 2021. A population-based dataset concerning predictors of willingness to get a COVID-19 vaccine in Iran. Data in Brief, 39: 107459. ISSN 2352-3409

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Abstract

The global issue of preventing the spread of COVID-19 is challenging. One of the most efficient ways to control the pandemic is to have a full coverage of COVID-19 vaccination. Therefore, this paper collected survey data to understand the intention and willingness of COVID-19 vaccination uptake in Qazvin, Iran. With the use of a paper-and-pencil method and multistage stratified cluster sampling, research personnel approached and interviewed a representative sample of adults in Qazvin (n = 10843) between February 19 and April 9, 2021. The survey asked questions regarding sociodemographic information, fear of COVID-19, perceived COVID-19 infectability, perceived behavioral control over COVID-19 vaccination, subjective norm of COVID-19 vaccination, attitude towards COVID-19 vaccination, and intention to get COVID-19 vaccinated. The data collected from this survey were analyzed using descriptive statistics, which were carried out using the IBM SPSS version 17.0.

Item Type:	Journal article
Publication Title:	Data in Brief
Creators:	Pakpour, A.H., Yahaghi, R., Ahmadizade, S., Fotuhi, R., Taherkhani, E., Ranjbaran, M., Buchali, Z., Lin, C.-Y., Griffiths, M.D. and Broström, A.
Publisher:	Elsevier BV
Date:	December 2021
Volume:	39
ISSN:	2352-3409
Identifiers:	Number Type 10.1016/j.dib.2021.107459 DOI 1478703 Other
Rights:	© 2021 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Divisions:	Schools > School of Social Sciences
Record created by:	Laura Ward
Date Added:	13 Oct 2021 12:42
Last Modified:	13 Oct 2021 12:42
URI:	https://irep.ntu.ac.uk/id/eprint/44436

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