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

• Published in: Data in brief Vol. 39; p. 107459
• Main Authors: Pakpour, Amir H., Yahaghi, Rafat, Ahmadizade, Safie, Fotuhi, Razie, Taherkhani, Elham, Ranjbaran, Mehdi, Buchali, Zeinab, Lin, Chung-Ying, Griffiths, Mark D., Broström, Anders
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.12.2021; Elsevier
• Subjects: COVID-19; Data; Intention; Iran; Survey; Vaccination; COVID-19; Intention; Survey; Iran; Vaccination
• ISSN: 2352-3409; 2352-3409
• DOI: 10.1016/j.dib.2021.107459

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.