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All Journal International Journal of Public Health Science (IJPHS)
Jorge Pelegrin-Borondo
University of La Rioja
Health Professions

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Attitudes towards COVID-19 vaccine in Spain: correlational and configurational analyses Jorge de Andrés-Sánchez; Mario Arias-Oliva; Jorge Pelegrin-Borondo
International Journal of Public Health Science (IJPHS) Vol 12, No 2: June 2023
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijphs.v12i2.22414

Abstract

This study explains attitude towards vaccination against COVID-19. It evaluates four cognitive, affective and normative (CAN) factors: fear of COVID-19 (FCOVID), fear of the vaccine (FVACC), efficacy (EFFICACY), and social influence (SOCINF) and three sociodemographic variables: gender, age, and income level. Ordered logistic regression showed a significant positive influence of FCOVID, EFFICACY and SOCINF and a negative impact of FVACC and income level (INCOME). Configurational analysis allowed observing that all evaluated factors are relevant for explaining the attitude towards vaccination and that the sign of the relationship in configurations between CAN factors and attitude is positive for FCOVID, EFFICACY and SOCINF and negative for FVACC. These variables symmetrically impact on willingness and unwillingness to use the vaccine. INCOME and regarding gender (GENDER) impact asymmetrically to induce acceptance and resistance to vaccination. The results in our paper have clear practical implications. Correlational analysis discovers the average strength of assessed factors on vaccine acceptation and so identifying the most relevant variables. On the other hand, configurational analysis identifies how factors combine to shape profiles of persons with willingness and unwillingness to get vaccinated. These last profiles are of special concern for health policy-makers since their resistance diminishes the effectivity of collective vaccination.
Co-Authors Jorge de Andrés-Sánchez Mario Arias-Oliva