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The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Vaccine hesitancy: the next challenge in the fight against COVID-19

Open access
Dror, Amiel A., Eisenbach, Netanel, Taiber, Shahar, Morozov, Nicole G., Mizrachi, Matti, Zigron, Asaf, Srouji, Samer, Sela, Eyal·2020·European Journal of Epidemiology

Abstract

Vaccine hesitancy remains a barrier to full population inoculation against highly infectious diseases. Coincident with the rapid developments of COVID-19 vaccines globally, concerns about the safety of such a vaccine could contribute to vaccine hesitancy. We analyzed 1941 anonymous questionnaires completed by healthcare workers and members of the general Israeli population, regarding acceptance of a potential COVID-19 vaccine. Our results indicate that healthcare staff involved in the care of COVID-19 positive patients, and individuals considering themselves at risk of disease, were more likely to self-report acquiescence to COVID-19 vaccination if and when available. In contrast, parents, nurses, and medical workers not caring for SARS-CoV-2 positive patients expressed higher levels of vaccine hesitancy. Interventional educational campaigns targeted towards populations at risk of vaccine hesitancy are therefore urgently needed to combat misinformation and avoid low inoculation rates.

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Metadata

Authors
Dror, A. A., Eisenbach, N., Taiber, S., Morozov, N. G., Mizrachi, M., Zigron, A., Srouji, S., & Sela, E.
Venue
European Journal of Epidemiology
Published
2020-08
Volume
35
Issue
8
Pages
775-779
ISSN
  • 0393-2990 (ISSN-L)
  • 1573-7284
OpenAlex
W3048383858
Cited by
1,714
References
6
FWCI
187.92
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Vaccine hesitancy: the next challenge in the fight against COVID-19. https://app.cochat.ai/papers/10.1007/s10654-020-00671-y
The paper
Dror, A. A., Eisenbach, N., Taiber, S., Morozov, N. G., Mizrachi, M., Zigron, A., Srouji, S., & Sela, E. (2020). Vaccine hesitancy: the next challenge in the fight against COVID-19. European Journal of Epidemiology. https://doi.org/10.1007/s10654-020-00671-y

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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.