The DOI matches its Crossref record; 107 of the 107 references it cites were found in a registry or an index; none of the 18 sources its claims cite is checked for support yet.
COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates
Open accessPublished version of a preprint
Abstract
Utility of vaccine campaigns to control coronavirus 2019 disease (COVID-19) is not merely dependent on vaccine efficacy and safety. Vaccine acceptance among the general public and healthcare workers appears to have a decisive role in the successful control of the pandemic. The aim of this review was to provide an up-to-date assessment of COVID-19 vaccination acceptance rates worldwide. A systematic search of the peer-reviewed English survey literature indexed in PubMed was done on 25 December 2020. Results from 31 peer-reviewed published studies met the inclusion criteria and formed the basis for the final COVID-19 vaccine acceptance estimates. Survey studies on COVID-19 vaccine acceptance rates were found from 33 different countries. Among adults representing the general public, the highest COVID-19 vaccine acceptance rates were found in Ecuador (97.0%), Malaysia (94.3%), Indonesia (93.3%) and China (91.3%). However, the lowest COVID-19 vaccine acceptance rates were found in Kuwait (23.6%), Jordan (28.4%), Italy (53.7), Russia (54.9%), Poland (56.3%), US (56.9%), and France (58.9%). Only eight surveys among healthcare workers (doctors and nurses) were found, with vaccine acceptance rates ranging from 27.7% in the Democratic Republic of the Congo to 78.1% in Israel. In the majority of survey studies among the general public stratified per country (29/47, 62%), the acceptance of COVID-19 vaccination showed a level of ≥70%. Low rates of COVID-19 vaccine acceptance were reported in the Middle East, Russia, Africa and several European countries. This could represent a major problem in the global efforts to control the current COVID-19 pandemic. More studies are recommended to address the scope of COVID-19 vaccine hesitancy. Such studies are particularly needed in the Middle East and North Africa, Sub-Saharan Africa, Eastern Europe, Central Asia, Middle and South America. Addressing the scope of COVID-19 vaccine hesitancy in various countries is recommended as an initial step for building trust in COVID-19 vaccination efforts.
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
This systematic review of 31 peer-reviewed survey studies from 33 countries found wide global variation in COVID-19 vaccine acceptance, with high rates in Ecuador, Malaysia, Indonesia, and China and low rates in Kuwait, Jordan, and several European countries. It concludes that vaccine hesitancy could be a major hindrance to pandemic control and recommends more studies in under-covered regions.
Key findings
- Among the general public, the highest COVID-19 vaccine acceptance rates were in Ecuador (97.0%), Malaysia (94.3%), Indonesia (93.3%), and China (91.3%); the lowest were in Kuwait (23.6%), Jordan (28.4%), Italy (53.7%), Russia (54.9%), Poland (56.3%), the US (56.9%), and France (58.9%).
- Among eight healthcare-worker surveys, acceptance ranged from 27.7% in the Democratic Republic of the Congo to 78.1% in Israel; three surveys reported rates below 60%.
- Stratified per country, 29/47 (62%) general-public surveys reported acceptance ≥70%; the review analyzed 60 surveys total: 47 among the general public, 8 among healthcare workers, 3 among parents/guardians, and 2 among university students.
- Male sex was associated with significantly higher COVID-19 vaccine acceptance in 15 countries/studies, while age was a significant factor in 11 studies/countries.
Methods
- PRISMA-guided systematic search of PubMed/Medline as of 25 December 2020 for English peer-reviewed survey studies evaluating COVID-19 vaccine acceptance/hesitancy; 178 records were identified, 30 articles were included, and one additional Jordan/Kuwait article was added, yielding 31 studies from 33 countries.
- Data extracted included survey date, country/countries, target population, total respondents, and COVID-19 vaccine acceptance rate, defined as respondents answering agree/somewhat/completely agree/leaning towards yes/definitely yes.
- Findings were synthesized descriptively, with acceptance rates stratified by country and target population.
Limitations
- The paper states that reliance on PubMed alone may have missed relevant studies, citing the example of Head et al.; included studies were cross-sectional with different sampling strategies, so results are snapshots and cannot predict future changes in acceptance.
- The paper states that studies used different approaches to express willingness to accept COVID-19 vaccines (e.g., binary yes/no vs. Likert-type scales), which should be considered when comparing acceptance rates.
- Evident from the text: the review added one recently published Jordan/Kuwait article outside the systematic search, and it reports a descriptive synthesis rather than a formal meta-analysis or quality appraisal.
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12 Not checked yet · 10 Own result · 6 No basis given · 4 Own method · 4 Own interpretation
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
“In the majority of survey studies among the general public stratified per country (29/47, 62%), the acceptance of COVID-19 vaccination showed a level of ≥70%.”
§ COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates > Abstract
plain- 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
“Survey studies on COVID-19 vaccine acceptance rates were found from 33 different countries.”
- Also stated in: § 3.1. Characteristics of the Papers Included in This Review · plain
“These studies comprised surveys on COVID-19 vaccine acceptance from a total of 33 different countries.”
§ COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates > Abstract
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.
- Also stated in: § 3.1. Characteristics of the Papers Included in This Review · plain
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
“Low rates of COVID-19 vaccine acceptance were reported in the Middle East, Russia, Africa and several European countries.”
- Also stated in: § 5. Conclusions · plain
“Low COVID-19 vaccine acceptance rates were more pronounced in the Middle East, Eastern Europe and Russia.”
§ COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates > Abstract
plain- 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: § 5. Conclusions · plain
In the paper
“Results from 31 peer-reviewed published studies met the inclusion criteria and formed the basis for the final COVID-19 vaccine acceptance estimates.”
- Also stated in: § 3.1. Characteristics of the Papers Included in This Review · plain
“A total of 30 published papers were analysed in this review, with an additional recently published article that focused on COVID-19 vaccine acceptance in Jordan and Kuwait to yield a total of 31 studies.”
§ COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates > Abstract
What the sources say
- Not checked yetcites [45] Sallam, M., Dababseh, D., Eid, H., Al-Mahzoum, K., Al-Haidar, A., Taim, D., Yaseen, A., Ababneh, N.A., Bakri, F.G., and Mahafzah, A. (2021). High rates of COVID-19 vaccine hesitancy and its association with conspiracy beliefs: A study in Jordan and Kuwait among other Arab countries. Vaccines, 9. source
plain- 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: § 3.1. Characteristics of the Papers Included in This Review · plain
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
“Among adults representing the general public, the highest COVID-19 vaccine acceptance rates were found in Ecuador (97.0%), Malaysia (94.3%), Indonesia (93.3%) and China (91.3%).”
- Also stated in: § 3.2. Rates of COVID-19 Vaccine Acceptance · plain
“Classified per study, the highest vaccine acceptance rates (>90%) among the general public were found in four studies from Ecuador (97.0%), Malaysia (94.3%), Indonesia (93.3%) and China (91.3%).”
§ COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates > Abstract
plain- 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: § 3.2. Rates of COVID-19 Vaccine Acceptance · plain
In the paper
“Only two surveys among the general public in African countries reported an acceptance rate of 81.6% in South Africa and 65.2% in Nigeria [46].”
§ COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates > 4. Discussion
What the sources say
- Not checked yetcites [46] Lazarus, J.V., Ratzan, S.C., Palayew, A., Gostin, L.O., Larson, H.J., Rabin, K., Kimball, S., and El-Mohandes, A. (2020). A global survey of potential acceptance of a COVID-19 vaccine. Nat. Med. source
plain- 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
“Male sex was associated with significantly higher rates of COVID-19 vaccine in 15 countries/studies, while the age was a significant factor in 11 studies/countries.”
§ COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates > 3. Results > 3.2. Rates of COVID-19 Vaccine Acceptance
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
“In this review, a large variability in COVID-19 vaccine acceptance rates was found.”
- Also stated in: § 5. Conclusions · plain
“Large variability in COVID-19 vaccine acceptance rates was reported in different countries and regions of the world.”
§ COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates > 4. Discussion
plain- 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.
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- Also stated in: § 5. Conclusions · plain
In the paper
“Early knowledge, attitudes and practices survey study towards COVID-19, from North-Central Nigeria, reported an acceptance rate of barely 29.0%, which highlights the need for more studies for an accurate depiction of COVID-19 vaccine hesitancy in Africa due to possible large regional and sub-regional variations [102].”
§ COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates > 4. Discussion
What the sources say
- Not checked yetcites [102] Reuben, R.C., Danladi, M.M.A., Saleh, D.A., and Ejembi, P.E. (2020). Knowledge, Attitudes and Practices Towards COVID-19: An Epidemiological Survey in North-Central Nigeria. J. Community Health. source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
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- 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
“Male sex was associated with significantly higher rates of COVID-19 vaccine in 15 countries/studies, while the age was a significant factor in 11 studies/countries.”
§ COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates > 3. Results > 3.2. Rates of COVID-19 Vaccine Acceptance
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. 11
- Probably not a substantial claim. 4
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
“Only eight surveys among healthcare workers (doctors and nurses) were found, with vaccine acceptance rates ranging from 27.7% in the Democratic Republic of the Congo to 78.1% in Israel.”
- Also stated in: § 3.2. Rates of COVID-19 Vaccine Acceptance · plain
“For the eight studies conducted on healthcare workers, three surveys reported vaccine acceptance rates below 60%, with the highest rate being among doctors in Israel (78.1%) and the lowest vaccine acceptance rate (27.7%) reported among healthcare workers in the Democratic Republic of the Congo (DRC).”
§ COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates > Abstract
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.
- Also stated in: § 3.2. Rates of COVID-19 Vaccine Acceptance · plain
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, the lowest COVID-19 vaccine acceptance rates were found in Kuwait (23.6%), Jordan (28.4%), Italy (53.7), Russia (54.9%), Poland (56.3%), US (56.9%), and France (58.9%).”
- Also stated in: § 3.2. Rates of COVID-19 Vaccine Acceptance · plain
“On the contrary, the lowest vaccine acceptance rates (<60%) among the general public were found in seven studies to be from Kuwait (23.6%), Jordan (28.4%), Italy (53.7), Russia (54.9%), Poland (56.3%), US (56.9%), and France (58.9%).”
§ COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates > Abstract
plain- 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.
It may state two separate claims as one.
- Also stated in: § 3.2. Rates of COVID-19 Vaccine Acceptance · plain
In the paper
“However, the highest vaccine acceptance rate was reported in Israel (75.0%); however, this rate was much lower among nurses surveyed in the same study (61.1%) [53].”
§ COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates > 4. Discussion
What the sources say
- Not checked yetcites [53] Dror, 2020, Vaccine hesitancy: The next challenge in the fight against COVID-19, Eur. J. Epidemiol. source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
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It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“In France, the vaccine acceptance rate ranged from 62.0% to 77.1% in March/April and was 58.9% in June.”
§ COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates > 3. Results > 3.3. Changes in COVID-19 Vaccine Acceptance over Time in Countries with Multiple Survey Studies
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.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“In the UK, the vaccine acceptance rate was 79.0% in April, 83.0% in May, 71.5% in June, 64.0% in July and 71.7% in September/October.”
§ COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates > 3. Results > 3.3. Changes in COVID-19 Vaccine Acceptance over Time in Countries with Multiple Survey Studies
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.
None of the sources cited for this claim have been checked yet.
In the paper
“The acceptance rate was the lowest in Kuwait (23.6%), followed by Jordan (28.4%), Saudi Arabia (64.7%) and Turkey (66.0%) [45,62,75].”
§ COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates > 4. Discussion
What the sources say
- Not checked yetcites [45] Sallam, M., Dababseh, D., Eid, H., Al-Mahzoum, K., Al-Haidar, A., Taim, D., Yaseen, A., Ababneh, N.A., Bakri, F.G., and Mahafzah, A. (2021). High rates of COVID-19 vaccine hesitancy and its association with conspiracy beliefs: A study in Jordan and Kuwait among other Arab countries. Vaccines, 9. source
- Not checked yetcites [62] Salali, G.D., and Uysal, M.S. (2020). COVID-19 vaccine hesitancy is associated with beliefs on the origin of the novel coronavirus in the UK and Turkey. Psychol. Med., 1–3. source
- Not checked yetcites [75] Padhi, 2020, Determinants of COVID-19 Vaccine Acceptance in Saudi Arabia: A Web-Based National Survey, J. Multidiscip. Healthc. source
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
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It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“For the vaccine acceptance rates in the US, it was 56.9% in April, and ranged from 67.0% to 75.0% in May, and reached 75.4% in June.”
§ COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates > 3. Results > 3.3. Changes in COVID-19 Vaccine Acceptance over Time in Countries with Multiple Survey Studies
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.
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It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“In Italy, the vaccine acceptance rate was 77.3% in April, 70.8% in June and it reached 53.7% in September.”
§ COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates > 3. Results > 3.3. Changes in COVID-19 Vaccine Acceptance over Time in Countries with Multiple Survey Studies
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.
In the paper
“This review was conducted following the PRISMA guidelines [44].”
§ COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates > 2. Materials and Methods
What the sources say
- Not checked yetcites [44] Moher, D., Liberati, A., Tetzlaff, J., Altman, D.G., and Group, P. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Med., 6. source
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: passes — The paper gives a reason why it holds.
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
“The inclusion criteria were: (1) peer-reviewed published articles indexed in PubMed; (2) survey studies among the general population, health-care workers, students, or parents/guardians); (3) the major aim of the study was to evaluate COVID-19 vaccine acceptance/hesitancy; and (4) publication language was English.”
§ COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates > 2. Materials and Methods
plain- 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.
Probably not a substantial claim. It may state two separate claims as one.
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
“High acceptance rates in East and South East Asia would help to achieve proper control of the pandemic.”
§ COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates > 5. Conclusions
hedgedconditional- 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.
Probably not a substantial claim.
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
“A sizable number of studies reported COVID-19 acceptance rates below 60%, which would pose a serious problem for efforts to control the current COVID-19 pandemic.”
§ COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates > 5. Conclusions
hedgeddirect- 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.
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
“In addition, the research studies included in this review represented cross-sectional studies, which can be seen as snapshots of vaccine hesitancy status in each country/region, with different sampling strategies, which may partly explain the differences in vaccine acceptance rates reported in various studies from a single country.”
§ COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates > 4. Discussion
hedgedconditional- 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.
It may state two separate claims as one.
In the paper
“The relatively high rates of COVID-19 vaccine acceptance might be related to stronger confidence in vaccine safety and effectiveness, as reported previously in Asia [27].”
§ COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates > 4. Discussion
What the sources say
- Not checked yetcites [27] Larson, 2016, The State of Vaccine Confidence 2016: Global Insights Through a 67-Country Survey, EBioMedicine 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.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
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
“current acceptance rates of 56–75%245 may be insufficient to reach at least 80–90% coverage246, the threshold thought to be necessary for herd immunity against SARS-CoV-2.”
From mRNA vaccines for infectious diseases: principles, delivery and clinical translation (2021) · cites this paper as [245]
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Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Rated major: it would touch a result — a value a result rests on, reported and recomputed p-values on opposite sides of the significance level, two passages that conflict with no sign which is right, or a cited work retracted before this paper was published.
In the paper
§ COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates > 3. Results > 3.2. Rates of COVID-19 Vaccine Acceptance
“For the two studies among University students, the vaccine acceptance rate was 57.3% in Malta (excluding university staff), and 86.1% in Italy.”
§ COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates > 4. Discussion
“In addition, low rates of COVID-19 vaccine acceptance were reported among students and healthcare workers in Malta—44.2% and 52.0%, respectively [73,74].”
Citations
Cites
3 retracted
Grech, V., Gauci, C., & Agius, S. (2020) · Early Human Development · doi:10.1016/j.earlhumdev.2020.105213 · Cited by 117
RetractedGrech, V., & Gauci, C. (2020) · Early Human Development · doi:10.1016/j.earlhumdev.2020.105258 · Cited by 49
RetractedGrech, V., Bonnici, J. J., & Zammit, D. (2020) · Early Human Development · doi:10.1016/j.earlhumdev.2020.105259 · Cited by 32
RetractedPreferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & The PRISMA Group (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000097 · Cited by 64,042
Wang, G., Ma, R., Qiao, G., Wada, K., Aizawa, Y., & Satoh, T. (2015) · Integrative Medicine International · doi:10.1159/000368408 · Cited by 18,762
The socio-economic implications of the coronavirus pandemic (COVID-19): a review
Nicola, M., Alsafi, Z., Sohrabi, C., Kerwan, A., Al-Jabir, A., Iosifidis, C., Agha, M., & Agha, R. (2020) · International Journal of Surgery · doi:10.1016/j.ijsu.2020.04.018 · Cited by 6,351
Vaccine hesitancy: Definition, scope and determinants
MacDonald, N. E. (2015) · Vaccine · doi:10.1016/j.vaccine.2015.04.036 · Cited by 5,573
Korber, B., Fischer, W. M., Gnanakaran, S., Yoon, H., Theiler, J., Abfalterer, W., Hengartner, N., Giorgi, E. E., Bhattacharya, T., Foley, B., et al. (2020) · Cell · doi:10.1016/j.cell.2020.06.043 · Cited by 4,281
A 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
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Kittipimpanon, K., Maneesriwongul, W., Butsing, N., Visudtibhan, P. J., & Leelacharas, S. (2022) · Patient Preference and Adherence · doi:10.2147/ppa.s376311 · Cited by 25
Gianfredi, V., Berti, A., Stefanizzi, P., D’Amico, M., Lorenzo, V. D., Moscara, L., Lorenzo, A. D., Venerito, V., & Castaldi, S. (2023) · Vaccines · doi:10.3390/vaccines11111697 · Cited by 25
Lu, Y., Qian, C., Huang, Y., Ren, T., Xie, W., Xia, N., & Li, S. (2025) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2025.145501 · Cited by 28
Faktor yang Memengaruhi Penurunan Cakupan Imunisasi pada Masa Pandemi Covid-19 di Jakarta
Mukhi, S., & Medise, B. E. (2021) · Sari Pediatri · doi:10.14238/sp22.6.2021.336-42 · Cited by 31
Considerations for Establishing Successful Coronavirus Disease Vaccination Programs in Africa
Williams, V., Edem, B. E., Calnan, M., Otwombe, K. N., & Okeahalam, C. C. (2021) · Emerging infectious diseases · doi:10.3201/eid2708.203870 · Cited by 24
Hyland, P., Vallières, F., Hartman, T. K., McKay, R., Butter, S., Bentall, R. P., McBride, O., Shevlin, M. E., Bennett, K. M., Mason, L., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0258871 · Cited by 25
Prior fluid and electrolyte imbalance is associated with COVID-19 mortality
Nahkuri, S., Becker, T., Schueller, V., Maßberg, S., & Bauer‐Mehren, A. (2021) · Communications Medicine · doi:10.1038/s43856-021-00051-x · Cited by 24
Wang, B., Nolan, R., & Marshall, H. S. (2021) · Vaccines · doi:10.3390/vaccines9121467 · Cited by 24
Ending the Pandemic: How Behavioural Science Can Help Optimize Global COVID-19 Vaccine Uptake
Vallis, M., Bacon, S., Corace, K., Joyal‐Desmarais, K., Gorin, S. S., Paduano, S., Presseau, J., Rash, J. A., Yohannes, A. M., & Lavoie, K. (2021) · Vaccines · doi:10.3390/vaccines10010007 · Cited by 25
Mazereel, V., Vanbrabant, T., Desplenter, S., Detraux, J., Picker, L. D., Thys, E., Popelier, K., & Binder, M. D. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.805528 · Cited by 24
The Role of Incentives in Deciding to Receive the Available COVID-19 Vaccine in Israel
Shmueli, L. (2022) · Vaccines · doi:10.3390/vaccines10010077 · Cited by 24
Exploring reasons for COVID-19 vaccine hesitancy among healthcare providers in Ethiopia
Shiferie, F., Muhammed, O. S., Fenta, T., Kaba, M., & Fentie, A. M. (2021) · Pan African Medical Journal · doi:10.11604/pamj.2021.40.213.30699 · Cited by 26
The Vaccination Concerns in COVID-19 Scale (VaCCS): Development and validation
Hamilton, K., & Hagger, M. S. (2022) · PLoS ONE · doi:10.1371/journal.pone.0264784 · Cited by 23
Williams, A. H., & Zhan, C. (2022) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.1c10718 · Cited by 22
Abu‐Odah, H., Su, J. J., & Musa, S. S. (2022) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2022.03.039 · Cited by 24
Sallam, M., Anwar, S., Yufika, A., Fahriani, M., Husnah, M., Kusuma, H. I., Raad, R., Khiri, N. M., Abdalla, R. Y., Adam, R. Y., et al. (2022) · Narra J · doi:10.52225/narra.v2i1.74 · Cited by 24
Self-citationMukherjee, S., Baral, M. M., Chittipaka, V., Pal, S. K., & Nagariya, R. (2022) · Journal of Humanitarian Logistics and Supply Chain Management · doi:10.1108/jhlscm-08-2021-0079 · Cited by 24
RetractedMalki, A., Atlam, E., Hassanien, A. E., Ewis, A. A., Dagnew, G., & Gad, I. (2022) · Alexandria Engineering Journal · doi:10.1016/j.aej.2022.05.051 · Cited by 24
Siewchaisakul, P., Sarakarn, P., Nanthanangkul, S., Longkul, J., Boonchieng, W., & Wungrath, ๋. (2022) · PLoS ONE · doi:10.1371/journal.pone.0270023 · Cited by 26
Pálinkás, A., & Sándor, J. (2022) · Vaccines · doi:10.3390/vaccines10071009 · Cited by 24
Yang, N., Wang, C., Huang, J., Dong, J., Ye, J., Fu, Y., Huang, J., Xu, D., Cao, G., & Qian, G. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.931480 · Cited by 24
Abouzid, M., Ahmed, A. A., El‐Sherif, D. M., Alonazi, W. B., Eatmann, A. I., Alshehri, M. M., Saleh, R., Ahmed, M. H., Aziz, I. A., Abdelslam, A. E., et al. (2022) · Vaccines · doi:10.3390/vaccines10081270 · Cited by 24
Salman, M., Mallhi, T. H., Tanveer, N., Shehzadi, N., Khan, H. M., Mustafa, Z. U., Khan, T. M., Hussain, K., Mohamed, M. S., Maqbool, F., et al. (2022) · Vaccines · doi:10.3390/vaccines10111866 · Cited by 26
Marbán-Castro, E., Nedic, I., Ferrari, M., Crespo-Mirasol, E., Ferrer, L., Zamora, B. N., Marin, A., Fumadó, V., López, M., Menéndez, C., et al. (2022) · Vaccines · doi:10.3390/vaccines10111930 · Cited by 24
Balaji, J. N., Prakash, S., Joshi, A., & Surapaneni, K. M. (2023) · Healthcare · doi:10.3390/healthcare11020245 · Cited by 24
Lessons Learnt from COVID-19: Computational Strategies for Facing Present and Future Pandemics
Pavan, M., & Moro, S. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24054401 · Cited by 25
Pataka, A., Kotoulas, S., Stefanidou, E., Grigoriou, I., Tzinas, A., Tsiouprou, I., Zarogoulidis, P., Courcoutsakis, N. A., & Argyropoulou, P. (2021) · Medicina · doi:10.3390/medicina57060611 · Cited by 22
Alzahrani, S. H., Baig, M., Al-Rabia, M. W., Algethami, M. R., Alhamdan, M. M., Alhakamy, N. A., Asfour, H. Z., & Ahmad, T. (2021) · Vaccines · doi:10.3390/vaccines9070798 · Cited by 24
Measles, mumps, and rubella (MMR) vaccine and COVID-19: a systematic review.
Soodejani, M. T., Basti, M., Tabatabaei, S. M., & Rajabkhah, K. (2021) · PubMed Central · Cited by 23
Peng, X., Gao, P., Wang, Q., Wu, H., Yan, Y., Xia, Y., Wang, J.-Y., Lu, F. Y., Pan, H., Yang, Y., et al. (2021) · Frontiers in Medicine · doi:10.3389/fmed.2021.741204 · Cited by 23
Blake, H., Fecowycz, A., Starbuck, H., & Jones, W. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19020653 · Cited by 24
COVID-19 Vaccine Hesitancy in Patients with Inflammatory Bowel Disease
Clarke, K., Pelton, M., Stuart, A., Tinsley, A., Dalessio, S., Bernasko, N., Williams, E., & Coates, M. D. (2022) · Digestive Diseases and Sciences · doi:10.1007/s10620-021-07377-5 · Cited by 23
Willingness to take COVID-19 vaccination in low-income countries: Evidence from Ethiopia
Strupat, C., Shigute, Z., Bedi, A. S., & Rieger, M. (2022) · PLoS ONE · doi:10.1371/journal.pone.0264633 · Cited by 22
Ung, C. O. L., Yuanjia, H., Hu, H., & Bian, Y. (2022) · BMC Infectious Diseases · doi:10.1186/s12879-022-07191-y · Cited by 24
Introduction to the Role of Information and Communication Technologies in Polarization
Qureshi, I., Bhatt, B., Gupta, S., & Tiwari, A. A. (2022) · Springer eBooks · doi:10.1007/978-981-16-5268-4_1 · Cited by 24
Song, S., Zang, S., Gong, L., Xu, C., Lin, L. K., Francis, M. R., & Hou, Z. (2021) · BMC Public Health · doi:10.1186/s12889-022-12969-5 · Cited by 23
Understanding the societal factors of vaccine acceptance and hesitancy: evidence from Hong Kong
Lau, B. H. P., Yuen, S., Yue, R. P. H., & Grépin, K. A. (2022) · Public Health · doi:10.1016/j.puhe.2022.03.013 · Cited by 23
Anti-Vaccine Attitudes among Adults in the U.S. during the COVID-19 Pandemic after Vaccine Rollout
Choi, J., Lieff, S. A., Meltzer, G., Grivel, M. M., Chang, V. W., Yang, L. H., & Jarlais, D. C. D. (2022) · Vaccines · doi:10.3390/vaccines10060933 · Cited by 24
Individual-level social capital and COVID-19 vaccine hesitancy in Japan: a cross-sectional study
Machida, M., Kikuchi, H., Kojima, T., Nakamura, I., Saito, R., Nakaya, T., Hanibuchi, T., Takamiya, T., Odagiri, Y., Fukushima, N., et al. (2022) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2022.2086773 · Cited by 23
Pramukti, I., Strong, C., Chen, I., Yen, C., Rifai, A., Ibrahim, K., Pandin, M. G. R., Subramaniam, H., Griffiths, M. D., Lin, C., et al. (2022) · Psychology Research and Behavior Management · doi:10.2147/prbm.s363757 · Cited by 23
Moeed, A., Najeeb, H., Saleem, A., Asghar, M. S., Rafi, H. M., Khattak, A. K., Bilal, Z., & Seboka, B. T. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.911518 · Cited by 23
COVID-19 vaccination in pregnant women in Sweden and Norway
Örtqvist, A. K., Dahlqwist, E., Magnus, M. C., Ljung, R., Jonsson, J., Aronsson, B., Pasternak, B., Håberg, S. E., & Stephansson, O. (2022) · Vaccine · doi:10.1016/j.vaccine.2022.06.083 · Cited by 23
Skinner, N. A., Sanders, K. C., Lopez, E., Mux, M. S. S., Miguel, L. A., Vosburg, K. B., Johnston, J. S., Diamond‐Smith, N., & Díaz, A. K. (2023) · BMJ Open · doi:10.1136/bmjopen-2022-067210 · Cited by 26
Fernandes, A., Wang, D., Domachowske, J. B., & Suryadevara, M. (2023) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2023.2173914 · Cited by 23
Shmueli, L. (2023) · BMC Public Health · doi:10.1186/s12889-023-15203-y · Cited by 23
COVID-19 vaccine hesitancy among parents in Low- and Middle-Income Countries: A meta-analysis
Kheir‐Mataria, W. A. E., Saleh, B. M., El‐Fawal, H. A. N., & Chun, S. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1078009 · Cited by 23
Alsudais, A. S., Alkanani, R. S., Fathi, A. B., Almuntashiri, S., Jamjoom, J. N., Alzhrani, M. A., Althubaiti, A., & Radi, S. (2023) · BMC Endocrine Disorders · doi:10.1186/s12902-023-01424-0 · Cited by 23
COVID-19 Vaccine Intent Among Health Care Professionals of Queen Elizabeth Hospital, Barbados
Krishnamurthy, K., Sobers, N., Kumar, A., Ojeh, N. O., Scott, A., CAVE, C., Gupta, S., Bradford-King, J. M., Sa, B., Adams, O. P., et al. (2021) · Journal of Multidisciplinary Healthcare · doi:10.2147/jmdh.s336952 · Cited by 23
Dey, S., Kurbanzade, A. K., Gel, E. S., Mihaljevic, J. R., & Mehrotra, S. (2024) · Naval Research Logistics (NRL) · doi:10.1002/nav.22181 · Cited by 27
Chan, P. S.-F., Fang, Y., Cheung, D. H., Zhang, Q., Sun, F., Mo, P. K. H., & Wang, Z. J. (2024) · Applied Psychology Health and Well-Being · doi:10.1111/aphw.12564 · Cited by 22
Vaccine hesitancy in East Malaysia (Sabah): A survey of the national COVID-19 immunisation programme
Jafar, A., Mapa, M. T., Sakke, N., Dollah, R., Joko, E. P., Atang, C., Ahmad, S. A., Hung, C. V., & Geogre, F. (2022) · Geospatial health · doi:10.4081/gh.2022.1037 · Cited by 22
Ayele, A. D., Ayenew, N. T., Tenaw, L. A., Kassa, B. G., Yehuala, E. D., Aychew, E. W., Mihretie, G. N., & Belay, H. G. (2021) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2021.2013082 · Cited by 22
Kantarcıoğlu, B., Iqbal, O., Lewis, J., Carter, C. A., Singh, M., Lievano, F. A., Ligocki, M. A., Jeske, W. P., Adıgüzel, C., Gerotziafas, G., et al. (2022) · Clinical and Applied Thrombosis/Hemostasis · doi:10.1177/10760296211056648 · Cited by 25
COVID-19 vaccine behaviors and intentions among a national sample of United States adults ages 18–45
Brownstein, N. C., Reddy, H., Whiting, J., Kasting, M. L., Head, K. J., Vadaparampil, S. T., Giuliano, A. R., Gwede, C. K., Meade, C. D., & Christy, S. M. (2022) · Preventive Medicine · doi:10.1016/j.ypmed.2022.107038 · Cited by 21
Kyprianidou, M., Konstantinou, P., Álvarez‐Gálvez, J., Ceccarelli, L., Gruszczyńska, E., Mierzejewska-Floreani, D., Loumba, N., Montagni, I., Tavoschi, L., Karekla, M., et al. (2022) · Behavioral Medicine · doi:10.1080/08964289.2022.2071198 · Cited by 22
Vaccine hesitancy and COVID-19 immunization among rural young adults
Mann, S., Christini, K., Chai, Y., Chang, C.-P., Hashibe, M., & Kepka, D. (2022) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2022.101845 · Cited by 26
Watermeyer, J., Scott, M., Kapueja, L., & Ware, L. J. (2022) · Health Policy and Planning · doi:10.1093/heapol/czac060 · Cited by 22
Yehualashet, D. E., Seboka, B. T., Tesfa, G. A., Mamo, T. T., Yawo, M. N., & Hailegebreal, S. (2022) · Risk Management and Healthcare Policy · doi:10.2147/rmhp.s368057 · Cited by 21
Social Environmental Predictors of COVID-19 Vaccine Hesitancy in India: A Population-Based Survey
Umakanthan, S., Bukelo, M. M., Bukelo, M. J., Patil, S., Subramaniam, N., & Sharma, R. (2022) · Vaccines · doi:10.3390/vaccines10101749 · Cited by 22
Lalot, F., Abrams, D., Heering, M. S., Babaian, J., Özkeçeci, H., Peitz, L., Hayon, K. D., & Broadwood, J. (2022) · Political Psychology · doi:10.1111/pops.12871 · Cited by 22
Travel behaviour changes and risk perception during COVID-19: A case study of Malaysia
Airak, S., Sukor, N. S. A., & Rahman, N. B. A. (2023) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2023.100784 · Cited by 22
Love, J., Wimmer, M., Toth, D. J. A., Chandran, A., Makhija, D. U., Cooper, C. K., Samore, M. H., & Keegan, L. T. (2021) · PLoS ONE · doi:10.1371/journal.pone.0253407 · Cited by 21
Marinos, G., Lamprinos, D., Georgakopoulos, P., Patoulis, G., Vogiatzi, G., Damaskos, C., Papaioannou, A., Sofroni, A., Pouletidis, T., Papagiannis, D., et al. (2021) · Vaccines · doi:10.3390/vaccines9101134 · Cited by 21
Dietze, P., Hall, C., Price, O. H., Stewart, A. C., Crawford, S., Peacock, A., & Maher, L. (2021) · Drug and Alcohol Review · doi:10.1111/dar.13399 · Cited by 21
Hesitancy towards Covid-19 vaccination among the healthcare workers in Iraqi Kurdistan
Luma, A. H., Alsilefanee, H. H., Basa, F. B., Moramarco, S., & Gialloreti, L. E. (2021) · Public Health in Practice · doi:10.1016/j.puhip.2021.100222 · Cited by 21
Update on COVID‐19 vaccination in pediatric solid organ transplant recipients
Dulek, D. E., Ardura, M. I., Green, M., Michaels, M. G., Chaudhuri, A., Vásquez, L., Danziger‐Isakov, L. A., Posfay-Barbe, K. M., McCulloch, M., L’Huillier, A. G., et al. (2022) · Pediatric Transplantation · doi:10.1111/petr.14235 · Cited by 21
Samanta, S., Banerjee, J., Kar, S. S., Ali, K. M., Giri, B., Pal, A., & Dash, S. K. (2022) · Vacunas · doi:10.1016/j.vacun.2022.01.002 · Cited by 24
Attitude of Health Care Workers and Medical Students towards Vaccination against COVID-19
Jankowska‐Polańska, B., Sarzyńska, K., Czwojdziński, E., Świątoniowska-Lonc, N., Dudek, K. D., & Piwowar, A. (2022) · Vaccines · doi:10.3390/vaccines10040535 · Cited by 21
Osur, J. O., Muinga, E., Carter, J. Y., Kuria, S., Hussein, S., & Ireri, E. M. (2022) · PLOS Global Public Health · doi:10.1371/journal.pgph.0000233 · Cited by 21
Ophir, Y., Walter, N., Walter, D., Velho, R., Lokmanoglu, A. D., Pruden, M. L., & Andrews, E. A. (2022) · Health Communication · doi:10.1080/10410236.2022.2054102 · Cited by 21
Aljamaan, F., Temsah, M., Alhasan, K., Alenezi, S., Alhaboob, A., Alrabiaah, A., Batais, M., Alshahrani, F., Assiri, R., Bafaqih, H., et al. (2022) · Journal of Infection and Public Health · doi:10.1016/j.jiph.2022.06.007 · Cited by 18
COVID-19 vaccine acceptance among healthcare workers in India: Results from a cross-sectional survey
Mehta, K., Dhaliwal, B. K., ZODPEY, S. P., Loisate, S., Banerjee, P., Sengupta, P., Gupta, M., & Shet, A. (2022) · PLOS Global Public Health · doi:10.1371/journal.pgph.0000661 · Cited by 21
COVID-19 vaccine hesitancy among Nigerian youths: Case study of students in Southwestern Nigeria
Olawade, D. B., Wada, O. Z., Odetayo, A., Akeju, O. O., Asaolu, F. T., & Owojori, G. O. (2022) · Journal of Education and Health Promotion · doi:10.4103/jehp.jehp_1756_21 · Cited by 21
Mahmud, S. A. S., Mohsin, M., Hossain, S., Islam, M. M., & Muyeed, A. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e10728 · Cited by 22
Bianchi, F. P., Stefanizzi, P., Cuscianna, E., Lorenzo, A. D., Martinelli, A., & Tafuri, S. (2022) · Expert Review of Vaccines · doi:10.1080/14760584.2023.2149500 · Cited by 21
Huang, W., Dove‐Medows, E., Shealey, J., Sanchez, K., Benson, L., Seymore, D. D., Sullivan, P. S., Bradley, H. M., & Siegler, A. J. (2023) · BMC Public Health · doi:10.1186/s12889-022-14905-z · Cited by 21
Parental hesitancy against COVID-19 vaccination for children and associated factors in Taiwan
Deng, J.-S., Chen, J., Lin, X., Huang, C.-L., Tung, T., & Zhu, J. (2023) · BMC Public Health · doi:10.1186/s12889-023-15158-0 · Cited by 21
Iacob, C. I., Ionescu, D., Avram, E., & Cojocaru, D. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.674018 · Cited by 22
Intention to get vaccinated against COVID-19 among nursing students: A cross-sectional survey
Zhou, Y., Wang, Y., & Li, Z. (2021) · Nurse Education Today · doi:10.1016/j.nedt.2021.105152 · Cited by 21
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Baj-Rogowska, A. (2021) · IEEE Access · doi:10.1109/access.2021.3115554 · Cited by 21
Tanaka, T., Nihonsugi, T., Ohtake, F., & Haruno, M. (2021) · Scientific Reports · doi:10.1038/s41598-021-02230-1 · Cited by 21
Wagner, A. L., Wileden, L., Shanks, T., Goold, S. D., Morenoff, J. D., & Gorin, S. S. (2021) · Vaccines · doi:10.3390/vaccines10010036 · Cited by 20
The COVID-19 Vaccine: Why the Hesitancy?
Grossman, V. A. (2021) · Journal of Radiology Nursing · doi:10.1016/j.jradnu.2021.02.011 · Cited by 23
Attitudes Toward COVID-19 Vaccination Among Young Adults in Zurich, Switzerland, September 2020
Leos‐Toro, C., Ribeaud, D., Bechtiger, L., Steinhoff, A., Nivette, A. E., Murray, A. L., Hepp, U., Quednow, B. B., Eisner, M., & Shanahan, L. (2021) · International Journal of Public Health · doi:10.3389/ijph.2021.643486 · Cited by 24
Attitudes of a sample of Jordanian young adults toward different available COVID-19 vaccines
Al-Qerem, W. A., Jarab, A. S., Qarqaz, R., & Hayek, M. A. (2021) · Vacunas · doi:10.1016/j.vacun.2021.07.008 · Cited by 20
Oyekale, A. S. (2021) · Vaccines · doi:10.3390/vaccines9111359 · Cited by 20
Who is more likely to hesitate to accept COVID-19 vaccine: a cross-sectional survey in China
Zhang, P., Zhang, Q., Guan, H., Fan, K., Bi, X., Huang, Y., Liang, L., Khoso, A. R., Xu, X., Ma, Y., et al. (2021) · Expert Review of Vaccines · doi:10.1080/14760584.2022.2019581 · Cited by 22
Noushad, M., Al-Awar, M. S., Al-Saqqaf, I. S., Nassani, M. Z., Alrubaiee, G. G., & Rastam, S. (2022) · Clinical Infectious Diseases · doi:10.1093/cid/ciac088 · Cited by 20
Healthcare Workers’ Acceptance of COVID-19 Vaccination in Russia
Briko, N. I., Korshunov, V. A., Mindlina, A. Y., Полибин, Р. В., Antipov, M. O., Brazhnikov, A. Y., Вязовиченко, Ю. Е., Glushkova, E. V., Lomonosov, K. S., Lomonosova, A. V., et al. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19074136 · Cited by 20
Garfin, D. R., Djokovic, L., Silver, R. C., & Holman, E. A. (2022) · Psychological Trauma Theory Research Practice and Policy · doi:10.1037/tra0001224 · Cited by 22
Interventions for COVID-19 Vaccine Hesitancy: A Systematic Review and Narrative Synthesis
Terrell, R. M., Alami, A., & Krewski, D. R. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20126082 · Cited by 20
CODENET: A deep learning model for COVID-19 detection
Ju, H., Cui, Y., Su, Q., Juan, L., & Manavalan, B. (2024) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2024.108229 · Cited by 20
Effective Communication at Different Phases of COVID-19 Prevention: Roles, Enablers and Barriers
Hanafiah, K. M., Ng, C., & Wan, A. M. (2021) · Viruses · doi:10.3390/v13061058 · Cited by 22
Xiang, Y., Wong, K. C.-Y., & So, H. (2021) · Pharmaceutics · doi:10.3390/pharmaceutics13091514 · Cited by 18
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Poon, P. K.-M., Zhou, W., Chan, D. C. C., Kwok, K. O., & Wong, S. Y. S. (2021) · Vaccines · doi:10.3390/vaccines9111319 · Cited by 20
Chen, T., Dai, M., & Xia, S. (2021) · Vaccine · doi:10.1016/j.vaccine.2021.11.039 · Cited by 20
Skeens, M. A., Guttoo, P., Stanek, J. R., Taylor, K., Stratz, E., Ardura, M. I., & Rangarajan, H. G. (2022) · Bone Marrow Transplantation · doi:10.1038/s41409-022-01587-9 · Cited by 20
Kacimi, S. E. O., Klouche-Djedid, S. N., Riffi, O., Belaouni, H. A., Yasmin, F., Essar, M. Y., Taouza, F. A., Belakhdar, Y., Fellah, S. C., Benmelouka, A. Y., et al. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.843449 · Cited by 19
Prevalence of COVID-19 vaccine hesitancy in students: A global systematic review
Roy, D. N., Hossen, M. M., Biswas, M., Islam, M. E., & Azam, M. S. (2022) · F1000Research · doi:10.12688/f1000research.122815.1 · Cited by 20
Factors Affecting COVID-19 Vaccination among the General Population in Saudi Arabia
Al-Mansour, K., Alyahya, S., AbuGazalah, F., & Alabdulkareem, K. I. (2021) · Healthcare · doi:10.3390/healthcare9091218 · Cited by 19
Metadata
- Authors
- Sallam, M.
- Affiliations
- University of Jordan (JO)
- Corresponding author
- Sallam, Malik
- ORCID
- Sallam, Malik
- Venue
- Vaccines
- Publisher
- MDPI AG
- Published
- 2021-02-16
- Volume
- 9
- Issue
- 2
- Pages
- 160
- ISSN
- 2076-393X (ISSN-L)
- PMC
- PMC7920465
- OpenAlex
- W3132264034
- Semantic Scholar
- 5fdd594a2c5c5e845a8a3dfaca7f554d2d4ec788
- Cited by
- 2,128
- References
- 101
- Citations by year
- 2026: 82 · 2025: 146 · 2024: 270 · 2023: 505 · 2022: 710 · 2021: 410
- FWCI
- 51.35
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Vaccines (publishedVersion, cc-by)
- medRxiv (acceptedVersion, cc-by-nc-nd)
- Preprints.org (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- SUNScholar (Stellenbosch University) (submittedVersion)
- Topics
- Social Sciences › Health › Vaccine Coverage and Hesitancy
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
- Keywords
- COVID-19 vaccine hesitancy, COVID-19 vaccination, healthcare workers, public trust in vaccination, cross-national comparison
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).
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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