The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index; 1 of the 11 sources its claims cite were checked for support.
A global survey of potential acceptance of a COVID-19 vaccine
Open accessAbstract
Several coronavirus disease 2019 (COVID-19) vaccines are currently in human trials. In June 2020, we surveyed 13,426 people in 19 countries to determine potential acceptance rates and factors influencing acceptance of a COVID-19 vaccine. Of these, 71.5% of participants reported that they would be very or somewhat likely to take a COVID-19 vaccine, and 48.1% reported that they would accept their employer’s recommendation to do so. Differences in acceptance rates ranged from almost 90% (in China) to less than 55% (in Russia). Respondents reporting higher levels of trust in information from government sources were more likely to accept a vaccine and take their employer’s advice to do so. Survey data from across 19 countries reveal heterogeneity in attitudes toward acceptance of a COVID-19 vaccine and suggest that trust in government is associated with vaccine confidence.
Overview
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Written from the paper’s full text.
TL;DR
In June 2020, a 19-country survey of 13,426 adults found that 71.5% would be very or somewhat likely to take a COVID-19 vaccine, but only 48.1% would accept their employer’s recommendation to do so. Acceptance varied widely by country and was strongly associated with trust in government.
Key findings
- Overall, 71.5% reported they would take a proven safe and effective COVID-19 vaccine, and 48.1% said they would accept an employer recommendation to get vaccinated.
- Country variation was large: China had the highest positive response for the general vaccine question (631/712, 88.6%) and Russia the lowest (373/680, 54.9%); Poland had the highest negative response (182/666, 27.3%). For employer recommendation, China had 83.7% positive responses (596/712), while Russia had the lowest willingness (184/680, 27.1%) and highest negative response (278/680, 40.9%).
- Trust in government was associated with acceptance: OR = 1.67 (95% CI 1.54, 1.80) for the general vaccine question and OR = 4.35 (95% CI 4.01, 4.72) for the employer-recommendation question.
- Older age and higher income/education were positively associated with acceptance. For example, respondents aged 65+ vs 18–24 had OR = 1.73 (95% CI 1.48, 2.02) for the general question, and those earning >$32/day vs <$2/day had OR = 2.18 (95% CI 1.79, 2.64). Men were slightly less likely than women to respond positively (OR = 0.84; 95% CI 0.78, 0.91), and self/family COVID-19 sickness was not associated with acceptance (OR = 0.97; 95% CI 0.87, 1.08).
Methods
- The study analyzed two vaccine-acceptance questions from the COVID-SCORE online survey, collected June 16–20, 2020, from 13,426 respondents aged 18+ in 19 countries, with 619–773 participants per country.
- Participants were recruited through multiple international online panel providers; sampling was random and described elsewhere.
- Responses used a five-point Likert scale. Logistic regressions coded “completely agree” or “somewhat agree” as 1 and all other responses as 0, with univariate models against age, gender, income, education, COVID-19 sickness in self/family, country cases and mortality per million, and trust in government.
Limitations
- The paper states that public surveys are snapshots at a point in time, the survey occurred in a highly dynamic COVID-19 landscape, and reported willingness may not predict actual acceptance. It also notes that events after the survey may have increased hesitancy, and that employment status was not investigated for the age/employer-recommendation finding.
- The text makes evident that the regressions are univariate rather than multivariable-adjusted, so associations may not be independent.
- The online panel design may limit representativeness despite random sampling, and the outcomes are self-reported intentions rather than observed vaccination behavior.
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Claims the paper makes
23 Own result · 8 Not checked yet · 6 Own method · 4 Own interpretation · 1 Partly supported · 1 No basis given · accuracy not yet measured
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“In many countries, vaccine hesitancy and misinformation present substantial obstacles to achieving coverage and community immunity5,6.”
§ A global survey of potential acceptance of a COVID-19 vaccine > Main
What the sources say
- Not checked yetcites [5] Larson, H. J., Jarrett, C., Eckersberger, E., Smith, D. M. D. & Paterson, P. Understanding vaccine hesitancy around vaccines and vaccination from a global perspective: a systematic review of published literature, 2007-2012. Vaccine 32, 2150–2159 (2014). source
- Partly supportedcites [6] Lane, S., MacDonald, N. E., Marti, M. & Dumolard, L. Vaccine hesitancy around the globe: analysis of three years of WHO/UNICEF Joint Reporting Form data—2015–2017. Vaccine 36, 3861–3867 (2018). sourceExperimental — accuracy not yet measured
The Discussion reports vaccine hesitancy in the majority of countries and describes efforts to improve vaccine acceptance. That supports the claim that hesitancy is a widespread obstacle to vaccination, but our copy does not establish misinformation as a separate obstacle or assess effects on coverage or community immunity. (LLM, conf=0.83)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Respondents who said that they trusted their government were more likely to accept a vaccine than those who said that they did not (OR = 1.67; 95% CI (1.54, 1.80)).”
§ A global survey of potential acceptance of a COVID-19 vaccine > Results
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Gender differences were small, but the univariate association for both questions suggested that men were slightly less likely to respond positively than women, with an OR of 0.84 (95% CI (0.78, 0.91)) of men responding positively relative to women for the general question”
§ A global survey of potential acceptance of a COVID-19 vaccine > Results
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Differences in acceptance rates ranged from almost 90% (in China) to less than 55% (in Russia).”
§ A global survey of potential acceptance of a COVID-19 vaccine > Abstract
plainn = 13,426- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This difference was strongest (odds ratio (OR) = 1.73; 95% confidence interval (CI) (1.48, 2.02)) when responses from the oldest age cohort and those from the youngest age cohort were compared (Table 2).”
§ A global survey of potential acceptance of a COVID-19 vaccine > Results
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Respondents from Poland reported the highest proportion of negative responses (182 of 666, 27.3%)”
§ A global survey of potential acceptance of a COVID-19 vaccine > Results
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“and 48.1% reported that they would accept their employer’s recommendation to do so.”
- Also stated in: § Discussion · hedged
“and 48.1% said that they would get vaccinated if their employer recommended it”
§ A global survey of potential acceptance of a COVID-19 vaccine > Abstract
hedgedn = 13,426- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Also stated in: § Discussion · hedged
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, we observed high heterogeneity in responses between countries.”
§ A global survey of potential acceptance of a COVID-19 vaccine > Discussion
plainn = 13,426- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“People aged 25–54, 55–64 and 65+ were more likely to accept the vaccine than those who were aged 18–24.”
§ A global survey of potential acceptance of a COVID-19 vaccine > Results
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“and an OR of 0.93 (95% CI (0.87, 1.00)) for the business-related question.”
§ A global survey of potential acceptance of a COVID-19 vaccine > Results
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- It may state two separate claims as one. 7
- The quote only partly states this claim. 1
- Probably not a substantial claim. 11
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“When asked whether “You would accept a vaccine if it were recommended by your employer and was approved safe and effective by the government,” 14.0% (1,881 of 13,426) completely agreed, whereas 25.9% (3,478 of 13,426) somewhat or completely disagreed (Table 1).”
§ A global survey of potential acceptance of a COVID-19 vaccine > Results
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Respondents from China gave the highest proportion of positive responses (631 of 712 respondants, 88.6%) and the lowest proportion of negative responses (5 of 712, 0.7%) when asked if they would take a ‘proven, safe and effective vaccine’.”
§ A global survey of potential acceptance of a COVID-19 vaccine > Results
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“A similar trend was observed in regard to acceptance of the vaccine if one’s employer required it, except that responses from the oldest age cohort were similar to the youngest age cohort.”
§ A global survey of potential acceptance of a COVID-19 vaccine > Results
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Russia had the highest proportion of negative responses (278 of 680, 40.9%) and the lowest proportion of respondents (184 of 680, 27.1%) willing to accept their employer’s recommendation (Supplementary Table 1).”
§ A global survey of potential acceptance of a COVID-19 vaccine > Results
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“There was considerable variation by country, with China again having the highest proportion of positive responses (596 of 712, 83.7%) and the lowest proportion of negative responses (26 of 712, 3.7%).”
§ A global survey of potential acceptance of a COVID-19 vaccine > Results
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Of these, 71.5% of participants reported that they would be very or somewhat likely to take a COVID-19 vaccine”
- Also stated in: § Discussion · plain
“Of these, 71.5% responded that they would take a vaccine if it were proven safe and effective”
§ A global survey of potential acceptance of a COVID-19 vaccine > Abstract
plainn = 13,426- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
The quote only partly states this claim.
- Also stated in: § Discussion · plain
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“No personally identifiable information was collected or stored.”
§ A global survey of potential acceptance of a COVID-19 vaccine > Methods > Study participants
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Misinformation spread through multiple channels could have a considerable effect on the acceptance of a COVID-19 vaccine8.”
§ A global survey of potential acceptance of a COVID-19 vaccine > Main
What the sources say
- Not checked yetcites [8] Cornwall, W. Officials gird for a war on vaccine misinformation. Science 369, 14–19 (2020). source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Anti-vaccination activists are already campaigning in multiple countries against the need for a vaccine, with some denying the existence of COVID-19 altogether7.”
§ A global survey of potential acceptance of a COVID-19 vaccine > Main
What the sources say
- Not checked yetcites [7] Enserink, M. & Cohen, J. Fact-checking Judy Mikovits, the controversial virologist attacking Anthony Fauci in a viral conspiracy video. Science https://www.sciencemag.org/news/2020/05/fact-checking-judy-mikovits-controversial-virologist-attacking-anthony-fauci-viral (2020). source
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Respondents’ identities were verified using IP addresses and mobile phone numbers to ensure that each participant was real and unique upon initial registration.”
§ A global survey of potential acceptance of a COVID-19 vaccine > Methods > Study participants
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“This study was approved by Emerson College, USA (institutional review board protocol no. 20–023-F-E-6/12), with an expiration date of June 11, 2021.”
§ A global survey of potential acceptance of a COVID-19 vaccine > Methods > Study participants
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“This particular survey was conducted in the context of a highly dynamic and changing landscape, with daily variations in perceived disease threat and COVID-19 vaccine development itself.”
§ A global survey of potential acceptance of a COVID-19 vaccine > Discussion
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Furthermore, reporting one’s willingness to get vaccinated might not be necessarily a good predictor of acceptance, as vaccine decisions are multifactorial and can change over time.”
§ A global survey of potential acceptance of a COVID-19 vaccine > Discussion
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
In the paper
“The accelerated pace of vaccine development has further heightened public anxieties and could compromise acceptance9.”
§ A global survey of potential acceptance of a COVID-19 vaccine > Main
What the sources say
- Not checked yetcites [9] Fadda, M., Albanese, E. & Suggs, L. S. When a COVID-19 vaccine is ready, will we all be ready for it? Int. J. Public Health 65, 711–712 (2020). source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Lessons learned from previous infectious disease outbreaks and public health emergencies, including HIV, H1N1, SARS, MERS and Ebola, remind us that trusted sources of information and guidance are fundamental to disease control16.”
§ A global survey of potential acceptance of a COVID-19 vaccine > Discussion
What the sources say
- Not checked yetcites [16] Siegrist, M. & Zingg, A. The role of public trust during pandemics: implications for crisis communication. Eur. Psychol. 19, 23–32 (2014). source
plaindirect- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“Researchers have identified promising interventions for building confidence and reducing vaccine hesitancy in different contexts12,13”
§ A global survey of potential acceptance of a COVID-19 vaccine > Discussion
What the sources say
- Not checked yetcites [12] Thomson, A., Vallée-Tourangeau, G. & Suggs, L. S. Strategies to increase vaccine acceptance and uptake: from behavioral insights to context-specific, culturally-appropriate, evidence-based communications and interventions. Vaccine 36, 6457–6458 (2018). source
- Not checked yetcites [13] European Centre for Disease Prevention and Control. Catalogue of interventions addressing vaccine hesitancy. https://www.ecdc.europa.eu/sites/portal/files/documents/Catalogue-interventions-vaccine-hesitancy.pdf (2017).
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“It must be kept in mind that all public surveys of the type reported here are snapshots taken at a point in time.”
§ A global survey of potential acceptance of a COVID-19 vaccine > Discussion
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“The online questionnaire was administered by Emerson College to gather information from respondents after obtaining their written, informed consent about the survey and this project.”
§ A global survey of potential acceptance of a COVID-19 vaccine > Methods > Study participants
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
The paper relies on this without support.
The level of vaccine acceptance required for community immunity is higher than the levels of willingness observed in most of the 19 countries.
“In most of the 19 countries surveyed in our study, current levels of willingness to accept a COVID-19 vaccine are insufficient to meet the requirements for community immunity.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“The heterogeneity analysis reported in Fig. 5, in which we analysed whether vaccination rates differ by age, sex, schooling and wealth variables, was not pre-specified and followed heterogeneity tests that are common in the vaccine literature54.”
From Last-mile delivery increases vaccine uptake in Sierra Leone (2024) · cites this paper as [54]
In the citing paper
“For COVID-19, information from employers and government sources has been shown to improve vaccine acceptance rates, which range from 55% to 90% around the world244.”
From mRNA vaccines for infectious diseases: principles, delivery and clinical translation (2021) · cites this paper as [244]
In the citing paper
“For COVID-19, information from employers and government sources has been shown to improve vaccine acceptance rates, which range from 55% to 90% around the world244.”
From mRNA vaccines for infectious diseases: principles, delivery and clinical translation (2021) · cites this paper as [244]
Citations
Cites
Vaccine hesitancy: Definition, scope and determinants
MacDonald, N. E. (2015) · Vaccine · doi:10.1016/j.vaccine.2015.04.036 · Cited by 5,573
The Influence of Source Credibility on Communication Effectiveness
Hovland, C. I., & Weiss, W. (1951) · Public Opinion Quarterly · doi:10.1086/266350 · Cited by 3,543
Larson, H. J., Jarrett, C., Eckersberger, E., Smith, D. M. D., & Paterson, P. (2014) · Vaccine · doi:10.1016/j.vaccine.2014.01.081 · Cited by 2,254
Self-citationMeasuring trust in vaccination: A systematic review
Larson, H. J., Clarke, R. M., Jarrett, C., Eckersberger, E., Levine, Z., Schulz, W. S., & Paterson, P. (2018) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2018.1459252 · Cited by 789
Self-citationLane, S., MacDonald, N. E., Marti, M., & Dumolard, L. (2018) · Vaccine · doi:10.1016/j.vaccine.2018.03.063 · Cited by 530
The Role of Public Trust During Pandemics: Implications for Crisis Communication
Siegrist, M., & Zingg, A. (2014) · European Psychologist · doi:10.1027/1016-9040/a000169 · Cited by 420
Karafillakis, E., & Larson, H. J. (2017) · Vaccine · doi:10.1016/j.vaccine.2017.07.061 · Cited by 317
Self-citationQuinn, S. C., Parmer, J., Freimuth, V. S., Hilyard, K. M., Musa, D., & Kim, K. H. (2013) · Biosecurity and Bioterrorism Biodefense Strategy Practice and Science · doi:10.1089/bsp.2012.0048 · Cited by 235
Lazarus, J. V., Ratzan, S., Palayew, A., Billari, F. C., Binagwaho, A., Kimball, S., Larson, H. J., Melegaro, A., Rabin, K., White, T. M., et al. (2020) · PLOS ONE · doi:10.1371/journal.pone.0240011 · Cited by 232
Self-citationExposing concerns about vaccination in low- and middle-income countries: a systematic review
Muñoz, D. C., Llamas, L. M., & Bosch‐Capblanch, X. (2015) · International Journal of Public Health · doi:10.1007/s00038-015-0715-6 · Cited by 160
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Pal, S., Shekhar, R., Kottewar, S., Upadhyay, S., Singh, M., Pathak, D., Kapuria, D., Barrett, E., & Sheikh, A. B. (2021) · Vaccines · doi:10.3390/vaccines9111358 · Cited by 138
Szmyd, B. M., Karuga, F. F., Bartoszek, A., Staniecka, K., Siwecka, N., Bartoszek, A., Błaszczyk, M., & Radek, M. (2021) · Vaccines · doi:10.3390/vaccines9030218 · Cited by 136
Patwary, M. M., Alam, M. A., Bardhan, M., Disha, A. S., Haque, M. Z., Billah, S. M., Kabir, M. P., Browning, M. H. E. M., Rahman, M. M., Parsa, A. D., et al. (2022) · Vaccines · doi:10.3390/vaccines10030427 · Cited by 134
Kuter, B. J., Browne, S., Momplaisir, F. M., Feemster, K. A., Shen, A. K., Green-McKenzie, J., Faig, W. G., & Offit, P. A. (2021) · Vaccine · doi:10.1016/j.vaccine.2021.02.029 · Cited by 129
Wong, L. P., Alias, H., Danaee, M., Ahmed, J., Lachyan, A. S., Cai, C. Z., Lin, Y., Hu, Z., Tan, S. Y., Lu, Y., et al. (2021) · Infectious Diseases of Poverty · doi:10.1186/s40249-021-00900-w · Cited by 134
Patwary, M. M., Bardhan, M., Disha, A. S., Hasan, M., Haque, M. Z., Sultana, R., Hossain, M. R., Browning, M. H. E. M., Alam, M. A., & Sallam, M. (2021) · Vaccines · doi:10.3390/vaccines9121393 · Cited by 128
Akther, T., & Nur, T. (2022) · PLoS ONE · doi:10.1371/journal.pone.0261869 · Cited by 140
COVID-19 vaccine hesitancy among health care workers in Palestine: A call for action
Maraqa, B. N., Nazzal, Z. A. S., Rabi, R., Sarhan, N., Al-Shakhra, K., & Al-Kaila, M. (2021) · Preventive Medicine · doi:10.1016/j.ypmed.2021.106618 · Cited by 127
Gallé, F., Sabella, E. A., Roma, P., Giglio, O. D., Caggiano, G., Tafuri, S., Molin, G. D., Ferracuti, S., Montagna, M. T., Liguori, G., et al. (2021) · Vaccines · doi:10.3390/vaccines9060638 · Cited by 127
Lazarus, J. V., White, T. M., Wyka, K., Ratzan, S. C., Rabin, K. H., Larson, H. J., Martinón‐Torres, F., Kuchar, E. P., Karim, S. S. A., Giles‐Vernick, T., et al. (2024) · Nature Medicine · doi:10.1038/s41591-024-02939-2 · Cited by 127
Self-citationKreps, S. E., Dasgupta, N., Brownstein, J. S., Hswen, Y., & Kriner, D. L. (2021) · npj Vaccines · doi:10.1038/s41541-021-00335-2 · Cited by 126
The role of trust in the likelihood of receiving a COVID-19 vaccine: Results from a national survey
Szilagyi, P. G., Thomas, K., Shah, M. D., Vizueta, N., Cui, Y., Vangala, S., Fox, C. R., & Kapteyn, A. (2021) · Preventive Medicine · doi:10.1016/j.ypmed.2021.106727 · Cited by 125
Margraf, J., Brailovskaia, J., & Schneider, S. (2020) · PLoS ONE · doi:10.1371/journal.pone.0243523 · Cited by 129
Medical disinformation and the unviable nature of COVID-19 conspiracy theories
Grimes, D. R. (2021) · PLoS ONE · doi:10.1371/journal.pone.0245900 · Cited by 135
A high rate of COVID-19 vaccine hesitancy in a large-scale survey on Arabs
Qunaibi, E. A., Helmy, M., Basheti, I. A., & Sultan, I. Y. (2021) · eLife · doi:10.7554/elife.68038 · Cited by 123
The effect of COVID certificates on vaccine uptake, health outcomes, and the economy
Oliu‐Barton, M., Pradelski, B., Woloszko, N., Guetta-Jeanrenaud, L., Aghion, P., Artus, P., Fontanet, A. L., Martin, P. J., & Wolff, G. B. (2022) · Nature Communications · doi:10.1038/s41467-022-31394-1 · Cited by 130
Marshoudi, S. A., Al-Balushi, H., Wahaibi, A. S. A., Khalili, S. A., Al-Maani, A. S., Al-Farsi, N., Al-Jahwari, A., Al-Habsi, Z., Al-Shaibi, M., Al-Msharfi, M., et al. (2021) · Vaccines · doi:10.3390/vaccines9060602 · Cited by 121
Wismans, A., Thurik, R., Baptista, R., Dejardin, M., Janssen, F., & Franken, I. H. A. (2021) · PLoS ONE · doi:10.1371/journal.pone.0255382 · Cited by 121
Trust in physicians and trust in government predict COVID‐19 vaccine uptake
Viskupič, F., Wiltse, D. L., & Meyer, B. A. (2022) · Social Science Quarterly · doi:10.1111/ssqu.13147 · Cited by 121
Misinformation warnings: Twitter’s soft moderation effects on COVID-19 vaccine belief echoes
Sharevski, F., Alsaadi, R., Jachim, P., & Pieroni, E. (2021) · Computers & Security · doi:10.1016/j.cose.2021.102577 · Cited by 120
Preferences for a COVID-19 vaccine in Australia
Borriello, A., Master, D. M., Pellegrini, A. M., & Rose, J. M. (2020) · Vaccine · doi:10.1016/j.vaccine.2020.12.032 · Cited by 124
COVID-19 Vaccine Hesitancy among Young Adults in Saudi Arabia: A Cross-Sectional Web-Based Study
Almaghaslah, D., Alsayari, A., Kandasamy, G., & Vasudevan, R. (2021) · Vaccines · doi:10.3390/vaccines9040330 · Cited by 118
Sekizawa, Y., Hashimoto, S., Denda, K., Ochi, S., & So, M. (2022) · BMC Public Health · doi:10.1186/s12889-021-12479-w · Cited by 116
Acceptance of COVID-19 vaccines in sub-Saharan Africa: evidence from six national phone surveys
Kanyanda, S., Markhof, Y. V., Wollburg, P. R., & Zezza, A. (2021) · BMJ Open · doi:10.1136/bmjopen-2021-055159 · Cited by 115
Acceptability of a COVID-19 Vaccine among the Saudi Population
Alfageeh, E. I., Alshareef, N., Angawi, K., Alhazmi, F. N., & Chirwa, G. C. (2021) · Vaccines · doi:10.3390/vaccines9030226 · Cited by 114
Benham, J. L., Lang, R., Burns, K. K., MacKean, G., Léveillé, T., McCormack, B., Sheikh, H., Fullerton, M. M., Tang, T., Boucher, J.-C., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0246941 · Cited by 120
Unfolding the Determinants of COVID-19 Vaccine Acceptance in China
Yin, F., Wu, Z., Xia, X., Ji, M., Wang, Y., & Zhi, H. (2020) · Journal of Medical Internet Research · doi:10.2196/26089 · Cited by 109
COVID-19 Vaccine Hesitancy among French People Living with HIV
Vallée, A., Fourn, E., Majerholc, C., Touche, P., & Zucman, D. (2021) · Vaccines · doi:10.3390/vaccines9040302 · Cited by 109
Assessing the Level and Determinants of COVID-19 Vaccine Confidence in Kenya
Orangi, S., Pinchoff, J., Mwanga, D. M., Abuya, T., Hamaluba, M., Warimwe, G. M., Austrian, K., & Barasa, E. (2021) · Vaccines · doi:10.3390/vaccines9080936 · Cited by 109
The Approach of Pregnant Women to Vaccination Based on a COVID-19 Systematic Review
Januszek, S., Faryniak-Zuzak, A., Barnaś, E., Łoziński, T., Góra, T., Siwiec, N., Szczerba, P., Januszek, R., & Kluz, T. (2021) · Medicina · doi:10.3390/medicina57090977 · Cited by 111
Fajar, J. K., Sallam, M., Soegiarto, G., Sugiri, Y. J., Anshory, M., Wulandari, L., Kosasih, S., Ilmawan, M., Kusnaeni, K., Fikri, M., et al. (2022) · Vaccines · doi:10.3390/vaccines10081356 · Cited by 116
The Persistence of Vaccine Hesitancy: COVID-19 Vaccination Intention in New Zealand
Thaker, J. J. (2021) · Journal of Health Communication · doi:10.1080/10810730.2021.1899346 · Cited by 107
Kumari, A., Ranjan, P., Chopra, S., Kaur, D., Kaur, T., Upadhyay, A. D., Isaac, J. A., Kasiraj, R., Prakash, B., Kumar, P., et al. (2021) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2021.04.015 · Cited by 113
Moola, S., Gudi, N., Nambiar, D., Dumka, N., Ahmed, T., Sonawane, I. R., & Kotwal, A. (2021) · Journal of Global Health · doi:10.7189/jogh.11.05027 · Cited by 107
Factors affecting COVID-19 vaccine hesitancy among healthcare providers in 23 countries
Leigh, J. P., Moss, S. J., White, T. M., Picchio, C. A., Rabin, K. H., Ratzan, S. C., Wyka, K., El-Mohandes, A. A. E., & Lazarus, J. V. (2022) · Vaccine · doi:10.1016/j.vaccine.2022.04.097 · Cited by 107
Self-citationFactors influencing COVID-19 vaccine hesitancy and acceptance among the Pakistani population
Chaudhary, F. A., Ahmad, B., Khalid, M. D., Fazal, A., Javaid, M. M., & Butt, D. Q. (2021) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2021.1944743 · Cited by 106
COVID‐19 vaccine hesitancy: A community‐based research in Turkey
İkiışık, H., Sezerol, M. A., Taşçı, Y., & Maral, İ. (2021) · International Journal of Clinical Practice · doi:10.1111/ijcp.14336 · Cited by 105
Epidemiology, clinical presentation, pathophysiology, and management of long COVID: an update
Su, S., Zhao, Y., Zeng, N., Liu, X., Zheng, Y., Sun, J., Zhong, Y., Wu, S., Ni, S., Gong, Y.-M., et al. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02171-3 · Cited by 107
The potential neurological effect of the COVID‐19 vaccines: A review
Lu, L., Xiong, W., Mu, J., Zhang, Q., Zhang, H., Zou, L., Li, W., He, L., Sander, J. W. A. S., & Zhou, D. (2021) · Acta Neurologica Scandinavica · doi:10.1111/ane.13417 · Cited by 104
Incentives can spur COVID-19 vaccination uptake
Klüver, H., Hartmann, F., Humphreys, M., Geißler, F., & Giesecke, J. A. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2109543118 · Cited by 104
Kalam, M. A., Davis, T., Shano, S., Uddin, M. N., Islam, M. A., Kanwagi, R., Islam, A., Hassan, M. M., & Larson, H. J. (2021) · PLoS ONE · doi:10.1371/journal.pone.0256496 · Cited by 104
Self-citationImpact of trust and knowledge in the food chain on motivation-behavior gap in green consumption
Dong, X., Jiang, B., Zeng, H., & Kassoh, F. S. (2022) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2022.102955 · Cited by 105
COVID-19 vaccine acceptance among adults in four major US metropolitan areas and nationwide
El-Mohandes, A. A. E., White, T. M., Wyka, K., Rauh, L. D., Rabin, K. H., Kimball, S. H., Ratzan, S. C., & Lazarus, J. V. (2021) · Scientific Reports · doi:10.1038/s41598-021-00794-6 · Cited by 102
Self-citationPaul, E., & Fancourt, D. E. (2022) · The Lancet Regional Health - Europe · doi:10.1016/j.lanepe.2022.100317 · Cited by 106
Communicating doctors’ consensus persistently increases COVID-19 vaccinations
Bartoš, V., Bauer, M., Cahlíková, J., & Chytilová, J. (2022) · Nature · doi:10.1038/s41586-022-04805-y · Cited by 106
Trust and COVID-19 vaccine hesitancy
Carrieri, V., Guthmuller, S., & Wübker, A. (2023) · Scientific Reports · doi:10.1038/s41598-023-35974-z · Cited by 113
Ali, M., & Hossain, A. (2021) · BMJ Open · doi:10.1136/bmjopen-2021-050303 · Cited by 101
Lyu, H., Wang, J., Wu, W., Duong, V., Zhang, X., Dye, T., & Luo, J. (2021) · Intelligent Medicine · doi:10.1016/j.imed.2021.08.001 · Cited by 101
Patelarou, E., Galanis, P., Mechili, E. A., Argyriadi, A., Argyriadis, A., Asimakopoulou, E., Brokaj, S., Bucaj, J., Carmona‐Torres, J. M., Cobo‐Cuenca, A. I., et al. (2021) · Nurse Education Today · doi:10.1016/j.nedt.2021.105010 · Cited by 100
Impact of COVID-19 Pandemic on Flu and COVID-19 Vaccination Intentions among University Students
Pastorino, R., Villani, L., Mariani, M., Ricciardi, W., Graffigna, G., & Boccia, S. (2021) · Vaccines · doi:10.3390/vaccines9020070 · Cited by 99
Mose, A., & Yeshaneh, A. (2021) · International Journal of General Medicine · doi:10.2147/ijgm.s314346 · Cited by 99
Afifi, T. O., Salmon, S., Taillieu, T., Stewart-Tufescu, A., Fortier, J., & Driedger, S. M. (2021) · Vaccine · doi:10.1016/j.vaccine.2021.05.026 · Cited by 98
Global acceptance and hesitancy of COVID-19 vaccination: A narrative review
Hassan, W., Kazmi, S. K., Tahir, M. J., Ullah, I., Royan, H. A., Fahriani, M., Nainu, F., & Viveiros-Rosa, S. G. (2021) · Narra J · doi:10.52225/narra.v1i3.57 · Cited by 99
Anand, U., Cabreros, C., Mal, J., Ballesteros, F., Sillanpää, M. E. T., Tripathi, V. S., & Bontempi, E. (2021) · Environmental Research · doi:10.1016/j.envres.2021.111126 · Cited by 97
Wang, Q., Xiu, S., Zhao, S., Wang, J., Han, Y., Dong, S., Huang, J., Cui, T., Yang, L., Shi, N., et al. (2021) · Vaccines · doi:10.3390/vaccines9040342 · Cited by 101
Han, S., Cai, J., Yang, J., Zhang, J., Wu, Q., Zheng, W., Shi, H., Ajelli, M., Zhou, X., & Yu, H. (2021) · Nature Communications · doi:10.1038/s41467-021-24872-5 · Cited by 98
Tahir, M. J., Saqlain, M., Tariq, W., Waheed, S., Tan, S. H. S., Nasir, S. I., Ullah, I., & Ahmed, A. (2021) · BMC Public Health · doi:10.1186/s12889-021-11814-5 · Cited by 95
COVID-19: talk of ‘vaccine hesitancy’ lets governments off the hook
Attwell, K., Hannah, A., & Leask, J. (2022) · Nature · doi:10.1038/d41586-022-00495-8 · Cited by 95
Qiao, S., Friedman, D. B., Tam, C. C., Zeng, C., & Li, X. (2022) · Journal of American College Health · doi:10.1080/07448481.2022.2059375 · Cited by 95
Providing normative information increases intentions to accept a COVID-19 vaccine
Moehring, A., Collis, A., Garimella, K., Rahimian, M. A., Aral, S., & Eckles, D. (2023) · Nature Communications · doi:10.1038/s41467-022-35052-4 · Cited by 99
Will Africans take COVID-19 vaccination?
Anjorin, A. A., Odetokun, I. A., Abioye, A. I., Elnadi, H., Umoren, M. V., Damaris, B. F., Eyedo, J., Umar, H. I., Nyandwi, J. B., Abdalla, M. M., et al. (2021) · PLOS ONE · doi:10.1371/journal.pone.0260575 · Cited by 94
Morales, D. X., Beltran, T. F., & Morales, S. A. (2022) · Sociology of Health & Illness · doi:10.1111/1467-9566.13474 · Cited by 105
Sociodemographic predictors of COVID-19 vaccine acceptance: a nationwide US-based survey study
Mondal, P., Sinharoy, A., & Su, L. (2021) · Public Health · doi:10.1016/j.puhe.2021.07.028 · Cited by 93
Attitudes and intentions towards COVID-19 vaccines and associated factors among Egyptian adults
Omar, D. I., & Hani, B. M. (2021) · Journal of Infection and Public Health · doi:10.1016/j.jiph.2021.06.019 · Cited by 94
Acceptance and willingness to pay for COVID‐19 vaccines among pregnant women in Vietnam
Nguyen, L. H., Hoang, M. T., Nguyen, L. D., Ninh, L. T., Nguyen, H. T. T., Nguyen, A. D., Vu, L. G., Vu, G. T., Doan, L. P., Latkin, C. A., et al. (2021) · Tropical Medicine & International Health · doi:10.1111/tmi.13666 · Cited by 92
Public Perceptions and Acceptance of COVID-19 Booster Vaccination in China: A Cross-Sectional Study
Lai, X., Zhu, H., Wang, J., Huang, Y., Jing, R., Lyu, Y., Zhang, H., Feng, H., Guo, J., & Fang, H. (2021) · Vaccines · doi:10.3390/vaccines9121461 · Cited by 92
Tran, V. D., Pak, T., Gribkova, E. I., Galkina, G. A., Loskutova, E. E., Dorofeeva, V. V., Dewey, R. S., Nguyen, T. K., & Phạm, D. T. (2021) · Pharmacy Practice · doi:10.18549/pharmpract.2021.1.2276 · Cited by 93
Kumari, A., Ranjan, P., Chopra, S., Kaur, D., Upadhyay, A. D., Kaur, T., Bhattacharyya, A., Arora, M., Gupta, H., Thrinath, A., et al. (2021) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2021.04.004 · Cited by 91
Factors indicating intention to vaccinate with a COVID-19 vaccine among older U.S. adults
Nikolovski, J., Koldijk, M. H., Weverling, G. J., Spertus, J. A., Turakhia, M. P., Saxon, L. A., Gibson, C. M., Whang, J., Sarich, T. C., Zambon, R. A., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0251963 · Cited by 91
Rosiello, F., Anwar, S., Yufika, A., Adam, R. Y., Ismaeil, M. I., Ismail, A. Y., Dahman, N. B. H., Hafsi, M., Ferjani, M., Sami, F. S., et al. (2021) · Narra J · doi:10.52225/narra.v1i3.55 · Cited by 92
The importance of non-pharmaceutical interventions during the COVID-19 vaccine rollout
Gozzi, N., Bajardi, P., & Perra, N. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009346 · Cited by 95
KAPLAN, A. K., Şahin, M. K., Parıldar, H., & Guvenc, I. A. (2021) · International Journal of Clinical Practice · doi:10.1111/ijcp.14226 · Cited by 90
Evolving impacts of COVID-19 vaccination intentions on travel intentions
Gürsoy, D., Can, A. S., Williams, N., & Ekinci, Y. (2021) · Service Industries Journal · doi:10.1080/02642069.2021.1938555 · Cited by 89
COVID-19 vaccine hesitancy: a survey in a population highly compliant to common vaccinations
Fedele, F., Aria, M., Esposito, V., Micillo, M., Cecere, G., Spano, M., & Marco, G. D. (2021) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2021.1928460 · Cited by 88
Infodemic, Institutional Trust, and COVID-19 Vaccine Hesitancy: A Cross-National Survey
Chen, X., Lee, W., & Lin, F. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19138033 · Cited by 88
McCready, J. L., Nichol, B., Steen, M., Unsworth, J., Comparcini, D., & Tomietto, M. (2023) · PLoS ONE · doi:10.1371/journal.pone.0280439 · Cited by 88
Converting the maybes: Crucial for a successful COVID-19 vaccination strategy
Attwell, K., Lake, J., Sneddon, J., Gerrans, P., Blyth, C. C., & Lee, J. A. (2021) · PLoS ONE · doi:10.1371/journal.pone.0245907 · Cited by 87
Gaur, P., Agrawat, H., & Shukla, A. (2021) · Rheumatology International · doi:10.1007/s00296-021-04938-9 · Cited by 87
Carcelen, A. C., Prosperi, C., Mutembo, S., Chongwe, G., Mwansa, F. D., Ndubani, P., Simulundu, E., Chilumba, I., Musukwa, G., Thuma, P. E., et al. (2021) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2021.1948784 · Cited by 87
Global public health security and justice for vaccines and therapeutics in the COVID-19 pandemic
Hotez, P. J., Batista, C., Amor, Y. B., Ergönül, Ö., Figueroa, J. P., Gilbert, S. C., Gürsel, M., Hassanain, M. M., Kang, G., Kaslow, D. C., et al. (2021) · EClinicalMedicine · doi:10.1016/j.eclinm.2021.101053 · Cited by 87
Self-citationCOVID-19 vaccine acceptance and hesitancy among healthcare workers in South Africa
Wiysonge, C. S., Alobwede, S. M., Katoto, P. D., Kidzeru, E. B., Lumngwena, E. N., Cooper, S., Goliath, R. T., Jackson, A. M., & Shey, M. S. (2022) · Expert Review of Vaccines · doi:10.1080/14760584.2022.2023355 · Cited by 89
Williams, L., Flowers, P., McLeod, J., Young, D., Rollins, L., & The CATALYST Project Team (2021) · Vaccines · doi:10.3390/vaccines9010017 · Cited by 85
Current State of the First COVID-19 Vaccines
Prüβ, B. M. (2021) · Vaccines · doi:10.3390/vaccines9010030 · Cited by 90
Huỳnh, G., Nguyen, T. V., Nguyen, D. D., Lam, Q. M., Pham, T. N., & Nguyen, H. T. N. (2021) · Infection and Drug Resistance · doi:10.2147/idr.s308446 · Cited by 85
The politics of Covid-19 vaccine confidence
Sabahelzain, M. M., Hartigan-Go, K. Y., & Larson, H. J. (2021) · Current Opinion in Immunology · doi:10.1016/j.coi.2021.06.007 · Cited by 85
Self-citationInfluence of rapid COVID-19 vaccine development on vaccine hesitancy
Rosenthal, S., & Cummings, C. L. (2021) · Vaccine · doi:10.1016/j.vaccine.2021.11.014 · Cited by 85
Wang, Q., Hu, S., Du, F., Zang, S., Xing, Y., Qu, Z., Zhang, X., Lin, L. K., & Hou, Z. (2021) · Communications Medicine · doi:10.1038/s43856-022-00177-6 · Cited by 85
Tan, M., Straughan, P. T., & Cheong, G. (2022) · Social Science & Medicine · doi:10.1016/j.socscimed.2022.114767 · Cited by 84
COVID-19 Vaccination Intent and Willingness to Pay in Bangladesh: A Cross-Sectional Study
Mahmud, I., Chowdhury, M. T. H., Vinnakota, D., Jahan, S. S., Apu, E. H., Siddika, N., Isha, S. N., Nath, S. K., & Kabir, R. (2021) · Vaccines · doi:10.3390/vaccines9050416 · Cited by 83
The Race for Global Equitable Access to COVID-19 Vaccines
Khairi, L. N. H. M., Fahrni, M. L., & Lazzarino, A. I. (2022) · Vaccines · doi:10.3390/vaccines10081306 · Cited by 83
Social Psychology of and for World-Making
Power, S. A., Zittoun, T., Akkerman, S. F., Wagoner, B., Cabra, M., Cornish, F., Hawlina, H., Heasman, B., Mahendran, K., Psaltis, C., et al. (2023) · Personality and Social Psychology Review · doi:10.1177/10888683221145756 · Cited by 94
Attitudes and Factors Associated With COVID-19 Vaccine Hesitancy Among Patients With Breast Cancer
Villarreal-Garza, C. M., Vaca‐Cartagena, B. F., Becerril‐Gaitan, A., Ferrigno, A. S., Mesa-Chávez, F., Platas, A., & Platas, A. (2021) · JAMA Oncology · doi:10.1001/jamaoncol.2021.1962 · Cited by 82
Wang, J., Yue, T., Li, D., Li, J., & Li, Y. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.758294 · Cited by 87
Trust and vaccine hesitancy during the COVID-19 pandemic: A cross-national analysis
Jennings, W., Valgarðsson, V., McKay, L., Stoker, G., Mello, E., & Baniamin, H. M. (2023) · Vaccine: X · doi:10.1016/j.jvacx.2023.100299 · Cited by 89
Walker, K. K., Head, K. J., Owens, H. N., & Zimet, G. D. (2021) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2021.1942713 · Cited by 81
Adejumo, O. A., Ogundele, O. A., Madubuko, C. R., Oluwafemi, R. O., Okoye, O. C., Okonkwo, K. C., Owolade, S. S., Junaid, O. A., Lawal, O. M., Enikuomehin, A. C., et al. (2021) · Osong Public Health and Research Perspectives · doi:10.24171/j.phrp.2021.0023 · Cited by 81
Metadata
- Authors
- Lazarus, J. V., Ratzan, S. C., Palayew, A., Gostin, L. O., Larson, H. J., Rabin, K., Kimball, S., & El-Mohandes, A.
- Affiliations
- Barcelona Institute for Global Health (ES)
- City University of New York (US)
- Georgetown University (US)
- London School of Hygiene & Tropical Medicine (GB)
- Emerson College (US)
- Corresponding author
- Lazarus, Jeffrey V.
- ORCID
- Venue
- Nature Medicine
- Published
- 2020-10-20
- Volume
- 27
- Issue
- 2
- Pages
- 225-228
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- PMC
- PMC7573523
- OpenAlex
- W3093974194
- Semantic Scholar
- abe8c2a1c2a072c6c0f729204a329d82fffad38c
- Cited by
- 2,904
- References
- 19
- Citations by year
- 2026: 91 · 2025: 109 · 2024: 276 · 2023: 541 · 2022: 950 · 2021: 901 · 2020: 32
- FWCI
- 335.12
- Type
- journal article
- Language
- en
- Update notices
- correction (2021-01-11)
- Open access
- bronze
- doi.org
- Locations
- Nature Medicine (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion)
- Scholarship - GEORGETOWN LAW (Georgetown University) (submittedVersion)
- SSRN Electronic Journal (submittedVersion)
- Funders
- City University of New York
- Ministerio de Ciencia, Innovación y Universidades (CEX 2018-000806-S)
- Centres de Recerca de Catalunya (CEX2018-000806-S)
- Generalitat de Catalunya (CEX2018-000806-S)
- Università Bocconi
- Topics
- Social Sciences › Health › Vaccine Coverage and Hesitancy
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Social Sciences › Sociology and Political Science › Risk Perception and Management
- Keywords
- COVID-19 vaccines, vaccine acceptance, vaccine hesitancy, vaccine confidence, public trust in government, cross-national comparison, vaccine attitudes
- MeSH terms
- COVID-19, SARS-CoV-2, COVID-19 Vaccines, Adolescent, Adult, Aged, Female, Humans, Male, Middle Aged, Patient Acceptance of Health Care, Surveys and Questionnaires, Regression Analysis, Internationality, Young Adult
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.
A language model drew the claims from the paper on 2026-10-10, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-10 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Cited sources are checked with a language model’s help (gpt-6-sol).
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 ›
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