The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Intention to get vaccinations against COVID-19 in French healthcare workers during the first pandemic wave: a cross-sectional survey
Open accessAbstract
Background Healthcare workers (HCWs) are at the frontline of the COVID-19 pandemic and identified as a priority target group for COVID-19 vaccines. We aimed to determine COVID-19 vaccine acceptance rate in HCWs in France. Methods We conducted an anonymous survey from 26th March to 2nd July 2020. The primary endpoint was the intention to get vaccinated against COVID-19 if a vaccine was available. Results Two-thousand and forty-seven HCWs answered the survey; women accounted for 74% of respondents. Among respondents, 1.554 (76.9%, 95% confidence interval 75.1–78.9) would accept a COVID-19 vaccine. Older age, male gender, fear about COVID-19, individual perceived risk and flu vaccination during previous season were associated with hypothetical COVID-19 vaccine acceptance. Nurses and assistant nurses were less prone to accept vaccination against COVID-19 than physicians. Vaccine hesitancy was associated with a decrease in COVID-19 vaccine acceptance. Flu vaccine rate was 57.3% during the previous season, and 54.6% of the respondents had the intention to get a flu vaccine during the next season. Conclusions Intention to get vaccinated against COVID-19 reached 75% in HCWs with discrepancies between occupational categories. COVID-19 pandemic had no positive effect on flu vaccine acceptance rate.
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
Nguyen, L. H., Drew, D. A., Graham, M. S., Joshi, A. D., Guo, C.-G., Ma, W., Mehta, R. S., Warner, E. T., Sikavi, D. R., Lo, C.-H., et al. (2020) · The Lancet Public Health · doi:10.1016/s2468-2667(20)30164-x · Cited by 2,395
Vaccine hesitancy: An overview
Dubé, E., Laberge, C., Guay, M., Bramadat, P., Roy, R., & Bettinger, J. A. (2013) · Human Vaccines & Immunotherapeutics · doi:10.4161/hv.24657 · Cited by 2,172
Vaccine hesitancy: the next challenge in the fight against COVID-19
Dror, A. A., Eisenbach, N., Taiber, S., Morozov, N. G., Mizrachi, M., Zigron, A., Srouji, S., & Sela, E. (2020) · European Journal of Epidemiology · doi:10.1007/s10654-020-00671-y · Cited by 1,714
Determinants of COVID-19 vaccine acceptance in the US
Malik, A. A., McFadden, S. M., Elharake, J., & Omer, S. B. (2020) · EClinicalMedicine · doi:10.1016/j.eclinm.2020.100495 · Cited by 1,540
Once we have it, will we use it? A European survey on willingness to be vaccinated against COVID-19
Neumann-Böhme, S., Varghese, N. E., Sabat, I., Barros, P. P., Brouwer, W., van Exel, J., Schreyögg, J., & Stargardt, T. (2020) · The European Journal of Health Economics · doi:10.1007/s10198-020-01208-6 · Cited by 1,011
Detoc, M., Bruel, S., Frappe, P., Tardy, B., Botelho-Nevers, E., & Gagneux-Brunon, A. (2020) · Vaccine · doi:10.1016/j.vaccine.2020.09.041 · Cited by 655
Self-citationA future vaccination campaign against COVID-19 at risk of vaccine hesitancy and politicisation
Peretti-Watel, P., Seror, V., Cortaredona, S., Launay, O., Raude, J., Verger, P., Fressard, L., Beck, F., Legleye, S., L'Haridon, O., et al. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30426-6 · Cited by 514
Wang, K., Wong, E. L. Y., Ho, K. F., Cheung, A. W. L., Chan, E. Y. Y., Yeoh, E. K., & Wong, S. Y. S. (2020) · Vaccine · doi:10.1016/j.vaccine.2020.09.021 · Cited by 393
First experience of COVID-19 screening of health-care workers in England
Hunter, E., Price, D. A., Murphy, E., van der Loeff, I. S., Baker, K. F., Lendrem, D., Lendrem, C., Schmid, M. L., Pareja-Cebrian, L., Welch, A., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30970-3 · Cited by 306
Rey, D., Fressard, L., Cortaredona, S., Bocquier, A., Gautier, A., Peretti‐Watel, P., Verger, P., & on behalf of the Baromètre santé 2016 group (2018) · Eurosurveillance · doi:10.2807/1560-7917.es.2018.23.17.17-00816 · Cited by 153
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
Cascini, F., Pantovic, A., Al-Ajlouni, Y., Failla, G., & Ricciardi, W. (2021) · EClinicalMedicine · doi:10.1016/j.eclinm.2021.101113 · Cited by 396
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
Dzieciolowska, S., Hamel, D., Gadio, S., Dionne, M., Gagnon, D., Robitaille, L., Cook, E., Caron, I., Talib, A., Parkes, L., et al. (2021) · American Journal of Infection Control · doi:10.1016/j.ajic.2021.04.079 · Cited by 268
(2022) · doi:10.1001/jamanetworkopen.2022.24657 · Cited by 51
Metadata
- Authors
- Gagneux-Brunon, A., Detoc, M., Bruel, S., Tardy, B., Rozaire, O., Frappe, P., & Botelho-Nevers, E.
- Venue
- Journal of Hospital Infection
- Publisher
- Elsevier BV
- Published
- 2021-02
- Volume
- 108
- Pages
- 168-173
- ISSN
- 0195-6701 (ISSN-L)
- OpenAlex
- W3108881073
- Cited by
- 560
- References
- 16
- FWCI
- 65.29
- 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.
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: Intention to get vaccinations against COVID-19 in French healthcare workers during the first pandemic wave: a cross-sectional survey. https://app.cochat.ai/papers/10.1016/j.jhin.2020.11.020
- The paper
- Gagneux-Brunon, A., Detoc, M., Bruel, S., Tardy, B., Rozaire, O., Frappe, P., & Botelho-Nevers, E. (2021). Intention to get vaccinations against COVID-19 in French healthcare workers during the first pandemic wave: a cross-sectional survey. Journal of Hospital Infection. https://doi.org/10.1016/j.jhin.2020.11.020
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.
