ArticleVaccine2022
Individual factors influencing COVID-19 vaccine acceptance in between and during pandemic waves (July-December 2020).
Article in Vaccine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed, 55 citations in OpenAlex.
- Trusted Sources of COVID-19 Vaccine Information by County Characteristics in North Carolina.Vaccines · 2026Article
- Psychosocial Determinants of Vaccine Hesitancy and Vaccination Behavior Among Older Adults in China: A Large Cross-Sectional Study.International journal of public health · 2026Article
- Sweden's public health response to COVID-19: a qualitative study building on a realist approach.BMC health services research · 2025Article
- The Effects of General Mental Health Symptomatology, COVID Anxiety, and Sociodemographic Factors on Pandemic-Induced Negative and Positive Trauma Effects: A Polish Survey from the Late Stages of the Pandemic.Journal of clinical medicine · 2025Article
- Factors affecting COVID-19 vaccine uptake in populations with higher education: insights from a cross-sectional study among university students in Malawi.BMC infectious diseases · 2024Article
- University Students' Vaccination Intention after the Fifth Wave of the COVID-19 Outbreak in Hong Kong: Inspiration from a Health Belief Model.Healthcare (Basel, Switzerland) · 2024Article
- Behavioral and social drivers of COVID-19 vaccination initiation in the US: a longitudinal study March─ October 2021.Journal of behavioral medicine · 2024Article
- COVID-19 vaccine acceptance and associated determinants in Addis Ketema Sub-city, Addis Ababa, Ethiopia: A community-based study.Vaccine: X · 2024Article
- Willingness to accept malaria vaccines amongst women presenting at outpatient and immunization clinics in Enugu state, Southeast Nigeria.Malaria journal · 2024Article
- Sociodemographic and geographic disparities in COVID-19 booster vaccination in Nueces County, Texas, USA.Heliyon · 2024Article
- Article
- Parents' Concerns, Behavior, Perception, and Hesitancy Regarding COVID-19 Vaccinations for Children in Central Saudi Arabia.Vaccines · 2023Article
- Factors related to COVID-19 vaccine hesitancy in Denmark: A national study in the autumn of 2021.Scandinavian journal of public health · 2023Article
- Acceptance of COVID-19 vaccine among sub-Saharan Africans (SSA): a comparative study of residents and diasporan dwellers.BMC public health · 2023Article
- The predictive role of parental attitudes toward COVID-19 vaccines and child vulnerability: A multi-country study on the relationship between parental vaccine hesitancy and financial well-being.Frontiers in public health · 2023Article
- Article
- Body Mass Index and Risk for COVID-19-Related Hospitalization in Adults Aged 50 and Older in Europe.Nutrients · 2022Article
- Article
- Temporal Trend of COVID-19 Vaccine Acceptance and Factors Influencing International Travellers.Tropical medicine and infectious disease · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA year after the start of the COVID-19 outbreak, the global rollout of vaccines gives us hope of ending the pandemic. Lack of vaccine confidence, however, poses a threat to vaccination campaigns. This study aims at identifying individuals' characteristics that explain vaccine willingness in Flanders (Belgium), while also describing trends over time (July-December 2020).
methodsThe analysis included data of 10 survey waves of the Great Corona Survey, a large-scale online survey that was open to the general public and had 17,722-32,219 respondents per wave. Uni- and multivariable general additive models were fitted to associate vaccine willingness with socio-demographic and behavioral variables, while correcting for temporal and geographical variability.
resultsWe found 84.2% of the respondents willing to be vaccinated, i.e., respondents answering that they were definitely (61.2%) or probably (23.0%) willing to get a COVID-19 vaccine, while 9.8% indicated maybe, 3.9% probably not and 2.2% definitely not. In Flanders, vaccine willingness was highest in July 2020 (90.0%), decreased over the summer period to 80.2% and started to increase again from late September, reaching 85.9% at the end of December 2020. Vaccine willingness was significantly associated with respondents' characteristics: previous survey participation, age, gender, province, educational attainment, household size, financial situation, employment sector, underlying medical conditions, mental well-being, government trust, knowing someone with severe COVID-19 symptoms and compliance with restrictive measures. These variables could explain much, but not all, variation in vaccine willingness.
conclusionsBoth the timing and location of data collection influence vaccine willingness results, emphasizing that comparing data from different regions, countries and/or timepoints should be done with caution. To maximize COVID-19 vaccination coverage, vaccination campaigns should focus on (a combination of) subpopulations: aged 31-50, females, low educational attainment, large households, difficult financial situation, low mental well-being and labourers, unemployed and self-employed citizens.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.