The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Factors Associated with COVID-19 Vaccine Hesitancy
Open accessAbstract
It is critical to develop tailored strategies to increase acceptability of the COVID-19 vaccine and decrease hesitancy. Hence, this study aims to assess and identify factors associated with COVID-19 vaccine hesitancy in Portugal. We used data from a community-based survey, “COVID-19 Barometer: Social Opinion”, which includes data regarding intention to take COVID-19 vaccines, health status, and risk perception in Portugal from September 2020 to January 2021. We used multinomial regression to identify factors associated with intention to delay or refuse to take COVID-19 vaccines. COVID-19 vaccine hesitancy in Portugal was high: 56% would wait and 9% refuse. Several factors were associated with both refusal and delay: being younger, loss of income during the pandemic, no intention of taking the flu vaccine, low confidence in the COVID-19 vaccine and the health service response during the pandemic, worse perception of government measures, perception of the information provided as inconsistent and contradictory, and answering the questionnaire before the release of information regarding the safety and efficacy of COVID-19 vaccines. It is crucial to build confidence in the COVID-19 vaccine as its perceived safety and efficacy were strongly associated with intention to take the vaccine. Governments and health authorities should improve communication and increase trust.
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Modern Applied Statistics with S
Venables, W. N., & Ripley, B. D. (2002) · Statistics and Computing · doi:10.1007/978-0-387-21706-2 · Cited by 24,305
ggplot2: Elegant Graphics for Data Analysis
Wickham, H. (2009) · doi:10.1007/978-0-387-98141-3 · Cited by 14,447
Vaccine hesitancy: Definition, scope and determinants
MacDonald, N. E. (2015) · Vaccine · doi:10.1016/j.vaccine.2015.04.036 · Cited by 5,573 · cited 8×
“Vaccine hesitancy results from a complex decision-making process, influenced by a wide range of contextual, individual and group, and vaccine-specific factors, including communication and media, historical influences, religion/culture/gender/socioeconomic, politics, geographic barriers, experience with vaccination, ri…”
BackgroundMethodInfluentialA 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
Murphy, J., Vallières, F., Bentall, R. P., Shevlin, M., McBride, O., Hartman, T. K., McKay, R., Bennett, K., Mason, L., Gibson-Miller, J., et al. (2021) · Nature Communications · doi:10.1038/s41467-020-20226-9 · Cited by 1,283
Attitudes Toward a Potential SARS-CoV-2 Vaccine: A Survey of U.S. Adults
Fisher, K. A., Bloomstone, S. J., Walder, J., Crawford, S., Fouayzi, H., & Mazor, K. M. (2020) · Annals of Internal Medicine · doi:10.7326/m20-3569 · Cited by 1,189
de Figueiredo, A., Simas, C., Karafillakis, E., Paterson, P., & Larson, H. J. (2020) · The Lancet · doi:10.1016/s0140-6736(20)31558-0 · Cited by 1,143
Herd Immunity: Understanding COVID-19
Randolph, H. E., & Barreiro, L. B. (2020) · Immunity · doi:10.1016/j.immuni.2020.04.012 · Cited by 1,138
Reiter, P. L., Pennell, M. L., & Katz, M. L. (2020) · Vaccine · doi:10.1016/j.vaccine.2020.08.043 · Cited by 1,103
COVID-19 Vaccination Hesitancy in the United States: A Rapid National Assessment
Khubchandani, J., Sharma, S., Price, J. H., Wiblishauser, M. J., Sharma, M., & Webb, F. J. (2021) · Journal of Community Health · doi:10.1007/s10900-020-00958-x · Cited by 1,086
Cited by
Cascini, F., Pantovic, A., Al-Ajlouni, Y., Failla, G., & Ricciardi, W. (2021) · EClinicalMedicine · doi:10.1016/j.eclinm.2021.101113 · Cited by 396
Did Ohio’s Vaccine Lottery Increase Vaccination Rates? A Pre-Registered, Synthetic Control Study
Lang, D., Esbenshade, L., & Willer, R. (2023) · Journal of Experimental Political Science · doi:10.1017/xps.2021.32 · Cited by 31
Zhao, X., Ma, Z., Xu, S., & Austin, L. L. (2024) · Health Communication · doi:10.1080/10410236.2022.2154017 · Cited by 23
Anxiety and fear of COVID-19 as potential mechanisms to explain vaccine hesitancy among adults
Fadhel, F. H., Sufyan, N. S., Alqahtani, M. M. J., & Almaamari, A. A. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1376567 · Cited by 12
“For example, participants who reported feeling anxious, sad, and agitated every day due to social restrictions had high vaccine hesitancy, while those who reported the same feelings on only some days were less hesitant (7).”
BackgroundResultInfluential
Metadata
- Authors
- Soares, P., Rocha, J. V., Moniz, M., Gama, A., Laires, P. A., Pedro, A. R., Dias, S., Leite, A., & Nunes, C.
- Venue
- Vaccines
- Publisher
- MDPI AG
- Published
- 2021-03-22
- Volume
- 9
- Issue
- 3
- Pages
- 300
- ISSN
- 2076-393X (ISSN-L)
- OpenAlex
- W3137473975
- Cited by
- 708
- References
- 27
- FWCI
- 82.56
- Type
- journal article
- Language
- en
- Open access
- gold
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