Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Jul 5;24(1):1796.
doi: 10.1186/s12889-024-19267-2.

Socioeconomic determinants and reasons for non-acceptance to vaccination recommendations during the 3rd - 5th waves of the COVID-19 pandemic in Hungary

Affiliations

Socioeconomic determinants and reasons for non-acceptance to vaccination recommendations during the 3rd - 5th waves of the COVID-19 pandemic in Hungary

Anna Sára Ligeti et al. BMC Public Health. .

Abstract

Background: In Hungary, although six types of vaccines were widely available, the percentage of people receiving the primary series of COVID-19 vaccination remained below the EU average. This paper investigates the reasons for Hungary's lower vaccination coverage by exploring changing attitudes towards vaccination, socio-demographic determinants, and individual reasons for non-acceptance during the 3rd - 5th pandemic waves of COVID-19.

Methods: The study's empirical analysis is based on representative surveys conducted in Hungary between February 19, 2021, and June 30, 2022. The study used a total of 17 surveys, each with a sample size of at least 1000 respondents. Binomial logistic regression models were used to investigate which socio-demographic characteristics are most likely to influence vaccine hesitancy in Hungary. The study analysed 2506 open-ended responses to identify reasons for vaccine non-acceptance. The responses were categorised into four main categories and 13 sub-categories.

Results: Between the third and fifth wave of the pandemic, attitudes towards COVID-19 vaccination have significantly changed. Although the proportion of vaccinated individuals has increased steadily, the percentage of individuals who reported not accepting the vaccine has remained almost unchanged. Socio-demographic characteristics were an important determinant of the observed vaccine hesitancy, although they remained relatively stable over time. Individuals in younger age groups and those with lower socioeconomic status were more likely to decline vaccination, while those living in the capital city were the least likely. A significant reason behind vaccine refusal can undoubtedly be identified as lack of trust (specifically distrust in science), facing an information barrier and the perception of low personal risk.

Conclusion: Although compulsory childhood vaccination coverage is particularly high in Hungary, voluntary adult vaccines, such as the influenza and COVID-19 vaccines, are less well accepted. Vaccine acceptance is heavily affected by the social-demographic characteristics of people. Mistrust and hesitancy about COVID-19 vaccines, if not well managed, can easily affect people's opinion and acceptance of other vaccines as well. Identifying and understanding the complexity of how vaccine hesitancy evolved during the pandemic can help to understand and halt the decline in both COVID-19 and general vaccine confidence by developing targeted public health programs to address these issues.

Keywords: COVID-19; Cross-sectional survey; Socioeconomic determinants; Vaccination hesitancy; Vaccine coverage.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Self-reported COVID-19 vaccination attitudes in Hungary during the 3rd - 5th pandemic waves based on the results of monthly representative cross-sectional surveys
Fig. 2
Fig. 2
The socio-demographic determinants of vaccine non-acceptance in Hungary during the 3rd to 5th pandemic COVID-19 waves (binomial logistic regressions, average marginal effects)
Fig. 3
Fig. 3
The reasons for vaccine hesitancy among vaccine non-accepters in Hungary during the 3rd to 5th pandemic COVID-19 waves

Similar articles

Cited by

References

    1. Watson OJ, Barnsley G, Toor J, Hogan AB, Winskill P, Ghani AC. Global impact of the first year of COVID-19 vaccination: A mathematical modelling study. Lancet Infect Dis. 2022;22(9):1293–1302. doi: 10.1016/S1473-3099(22)00320-6. - DOI - PMC - PubMed
    1. COVID-19 Vaccine Tracker. European Centre for Disease Prevention and Control. 2024. https://www.ecdc.europa.eu/en/publications-data/covid-19-vaccine-tracker. Accessed 30 May 2024.
    1. Oroszi B, Juhász A, Nagy C, Horváth JK, Komlós KE, Túri G, et al. Characteristics of the Third COVID-19 Pandemic Wave with Special Focus on Socioeconomic Inequalities in Morbidity, Mortality and the Uptake of COVID-19 Vaccination in Hungary. J Personal Med. 2022;12(3):388. doi: 10.3390/jpm12030388. - DOI - PMC - PubMed
    1. Kutasi K, Koltai J, Szabó-Morvai Á, Röst G, Karsai M, Biró P, et al. Understanding hesitancy with revealed preferences across COVID-19 vaccine types. Sci Rep. 2022;12(1):13293. doi: 10.1038/s41598-022-15633-5. - DOI - PMC - PubMed
    1. MacDonald NE. Vaccine Hesitancy: Definition, Scope and Determinants. Vaccine. 2015;33(34):4161–4164. doi: 10.1016/j.vaccine.2015.04.036. - DOI - PubMed

Publication types

MeSH terms

Substances

LinkOut - more resources