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

Authors :
Amir H. Pakpour
Rafat Yahaghi
Safie Ahmadizade
Razie Fotuhi
Elham Taherkhani
Mehdi Ranjbaran
Zeinab Buchali
Chung-Ying Lin
Mark D. Griffiths
Anders Broström
Source :
Data in Brief, Vol 39, Iss , Pp 107459- (2021)
Publication Year :
2021
Publisher :
Elsevier, 2021.

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.

Details

Language :
English
ISSN :
23523409
Volume :
39
Issue :
107459-
Database :
Directory of Open Access Journals
Journal :
Data in Brief
Publication Type :
Academic Journal
Accession number :
edsdoj.82f300843b2434ab83887f61910664c
Document Type :
article
Full Text :
https://doi.org/10.1016/j.dib.2021.107459