Summary information

Study title

Attitudes towards SARS-CoV-2 Vaccination, 2020

Creator

Petravić, Luka (Medicinska fakulteta, Univerza v Mariboru)
Arh, Rok (Medicinska fakulteta, Univerza v Mariboru)
Gabrovec, Tina (Medicinska fakulteta, Univerza v Mariboru)
Jazbec, Lucija (Medicinska fakulteta, Univerza v Mariboru)
Rupčić, Nika (Medicinska fakulteta, Univerza v Mariboru)
Starešinič, Nina (Medicinska fakulteta, Univerza v Mariboru)
Zorman, Lea (Medicinska fakulteta, Univerza v Mariboru)
Zwitter, Matjaž (Medicinska fakulteta, Univerza v Mariboru)
Slavec, Ana (InnoRenew CoE)

Study number / PID

SARSPR20 (ADP)

URN:SI:UNI-LJ-FDV:ADP:SARSPR20 (NUK)

https://doi.org/10.17898/ADP_SARSPR20_V1 (doi)

Data access

Information not available

Series

Not available

Abstract

In December 2020, the SARS-CoV-2 vaccine was first approved in the Western world. However, the effectiveness of national vaccination plans depends on the willingness of the population to get vaccinated. Previous research on vaccine hesitancy has shown various factors that influence the decision to vaccinate such as gender, age, education, socioeconomic status, profession, experience with vaccinations, experience with the disease, and trust in experts. For better understanding of attitudes towards COVID-19 vaccination a cross-sectional survey was conducted of the Slovenian population. 12,042 individuals responded to the online survey. Ordinal regression analysis was used with mediation to study the interaction of different factors that impact the intent to vaccinate. In addition, textual analysis was run on open-ended question response data to get a better insight into the motivations behind the answers. The data was weighted by Valicon, who used the questions on his JazVem panel.

Methodology

Data collection period

17/12/2020 - 27/12/2020

Country

Slovenia

Time dimension

Cross-section

Analysis unit

Individual

Universe

Residents of the Republic of Slovenia aged 15 or more

Sampling procedure

Non-probability: Availability
Non-probability: Respondent-assisted

Kind of data

NumericNumeric

Data collection mode

Self-administered questionnaire: Web-based (CAWI)

Funding information

Grant number

Financed by own funds. UM MF students under the leadership of prof. dr. Matjaž Zwitter - authorship and Valicon - data preparation

Grant number

Z5-1879, Grant Agreement #739574 Ana Slavec - work in preparing the article

Access

Publisher

Arhiv družboslovnih podatkov = Social Science Data Archives

Publication year

2024

Terms of data access

The data and materials are licenced under a Creative Commons Attribution 4.0 International Licence. Users may use the data only for the purposes stated in the registration form and in accordance with professional codes of ethics. Users expressly agree to maintain the confidentiality of the data and to conduct analyses without attempting to identify the individuals and institutions covered by the materials.

Related publications

Not available