The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Confidence and Receptivity for COVID-19 Vaccines: A Rapid Systematic Review
Open accessAbstract
While COVID-19 continues raging worldwide, effective vaccines are highly anticipated. However, vaccine hesitancy is widespread. Survey results on uptake intentions vary and continue to change. This review compared trends and synthesized findings in vaccination receptivity over time across US and international polls, assessing survey design influences and evaluating context to inform policies and practices. Data sources included academic literature (PubMed, Embase, and PsycINFO following PRISMA guidelines), news and official reports published by 20 October 2020. Two researchers independently screened potential peer-reviewed articles and syndicated polls for eligibility; 126 studies and surveys were selected. Declining vaccine acceptance (from >70% in March to <50% in October) with demographic, socioeconomic, and partisan divides was observed. Perceived risk, concerns over vaccine safety and effectiveness, doctors’ recommendations, and inoculation history were common factors. Impacts of regional infection rates, gender, and personal COVID-19 experience were inconclusive. Unique COVID-19 factors included political party orientation, doubts toward expedited development/approval process, and perceived political interference. Many receptive participants preferred to wait until others have taken the vaccine; mandates could increase resistance. Survey wording and answer options showed influence on responses. To achieve herd immunity, communication campaigns are immediately needed, focusing on transparency and restoring trust in health authorities.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gotzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009) · BMJ · doi:10.1136/bmj.b2700 · Cited by 17,648
A global survey of potential acceptance of a COVID-19 vaccine
Lazarus, J. V., Ratzan, S. C., Palayew, A., Gostin, L. O., Larson, H. J., Rabin, K., Kimball, S., & El-Mohandes, A. (2021) · Nature Medicine · doi:10.1038/s41591-020-1124-9 · Cited by 2,904
Cochrane Rapid Reviews Methods Group offers evidence-informed guidance to conduct rapid reviews
Garritty, C., Gartlehner, G., Nussbaumer-Streit, B., King, V. J., Hamel, C., Kamel, C., Affengruber, L., & Stevens, A. (2021) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2020.10.007 · Cited by 1,141
Coronavirus conspiracy beliefs, mistrust, and compliance with government guidelines in England
Freeman, D., Waite, F., Rosebrock, L., Petit, A., Causier, C., East, A., Jenner, L., Teale, A.-L., Carr, L., Mulhall, S., et al. (2022) · Psychological Medicine · doi:10.1017/s0033291720001890 · Cited by 714
Hesitant or not? A global survey of potential acceptance of a COVID-19 vaccine
Lazarus, J. V., Ratzan, S., Palayew, A., Gostin, L. O., Larson, H. J., Rabin, K., Kimball, S., & El-Mohandes, A. (2020) · doi:10.1101/2020.08.23.20180307 · Cited by 128
Officials gird for a war on vaccine misinformation
Cornwall, W. (2020) · Science · doi:10.1126/science.369.6499.14 · Cited by 119 · cited 1×
“Moreover, the proliferation of conspiracy theories surrounding coronavirus and the vaccines, combined with existing anti-vaccine movement adds another uncertain dimension to vaccine decisions [86,112,113].”
Background
Cited by
COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates
Sallam, M. (2021) · Vaccines · doi:10.3390/vaccines9020160 · Cited by 2,128
Robinson, E., Jones, A., Lesser, I., & Daly, M. (2021) · Vaccine · doi:10.1016/j.vaccine.2021.02.005 · Cited by 518
Benham, J. L., Atabati, O., Oxoby, R. J., Mourali, M., Shaffer, B., Sheikh, H., Boucher, J.-C., Constantinescu, C., Parsons Leigh, J., Ivers, N. M., et al. (2021) · JMIR Public Health and Surveillance · doi:10.2196/30424 · Cited by 67
Royal society of Canada COVID-19 report: Enhancing COVID-19 vaccine acceptance in Canada
MacDonald, N. E., Comeau, J., Dubé, È., Graham, J., Greenwood, M., Harmon, S., McElhaney, J., Meghan McMurtry, C., Middleton, A., Steenbeek, A., et al. (2021) · FACETS · doi:10.1139/facets-2021-0037 · Cited by 42
Samannodi, M. (2021) · Patient Preference and Adherence · doi:10.2147/ppa.s338932 · Cited by 31
Metadata
- Authors
- Lin, C., Tu, P., & Beitsch, L. M.
- Venue
- Vaccines
- Publisher
- MDPI AG
- Published
- 2020-12-30
- Volume
- 9
- Issue
- 1
- Pages
- 16
- ISSN
- 2076-393X (ISSN-L)
- OpenAlex
- W3116104974
- Cited by
- 839
- References
- 6
- FWCI
- 33.78
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Confidence and Receptivity for COVID-19 Vaccines: A Rapid Systematic Review. https://app.cochat.ai/papers/10.3390/vaccines9010016
- The paper
- Lin, C., Tu, P., & Beitsch, L. M. (2020). Confidence and Receptivity for COVID-19 Vaccines: A Rapid Systematic Review. Vaccines. https://doi.org/10.3390/vaccines9010016
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.