The DOI matches its Crossref record.
National Trends in the US Public’s Likelihood of Getting a COVID-19 Vaccine—April 1 to December 8, 2020
Open accessAbstract
This internet survey study describes trends in respondents saying they were likely to accept vaccination for COVID-19 overall and by age, sex, race, and education between April and December 2020.
Overview
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Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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Self-check
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Citations
Cited by
Acceptance of a COVID-19 Vaccine in Japan during the COVID-19 Pandemic
Machida, M., Nakamura, I., Kojima, T., Saito, R., Nakaya, T., Hanibuchi, T., Takamiya, T., Odagiri, Y., Fukushima, N., Kikuchi, H., et al. (2021) · Vaccines · doi:10.3390/vaccines9030210 · Cited by 281
Lavoie, K., Gosselin-Boucher, V., Stojanovic, J., Gupta, S., Gagné, M., Joyal-Desmarais, K., Séguin, K., Gorin, S. S., Ribeiro, P., Voisard, B., et al. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-059411 · Cited by 59
Metadata
- Authors
- Szilagyi, P. G., Thomas, K., Shah, M. D., Vizueta, N., Cui, Y., Vangala, S., & Kapteyn, A.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2021-01-26
- Volume
- 325
- Issue
- 4
- Pages
- 396
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W3116267744
- Cited by
- 277
- References
- 0
- FWCI
- 32.25
- Type
- journal article
- Language
- en
- Open access
- bronze
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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: National Trends in the US Public’s Likelihood of Getting a COVID-19 Vaccine—April 1 to December 8, 2020. https://app.cochat.ai/papers/10.1001/jama.2020.26419
- The paper
- Szilagyi, P. G., Thomas, K., Shah, M. D., Vizueta, N., Cui, Y., Vangala, S., & Kapteyn, A. (2021). National Trends in the US Public’s Likelihood of Getting a COVID-19 Vaccine—April 1 to December 8, 2020. JAMA. https://doi.org/10.1001/jama.2020.26419
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.
