ArticleVaccines2021
Universal Predictors of Dental Students' Attitudes towards COVID-19 Vaccination: Machine Learning-Based Approach.
Article in Vaccines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 43 citations in OpenAlex.
- A data-driven machine learning framework to predict side effects of AstraZeneca and sinopharm COVID-19 vaccines.Scientific reports · 2025Article
- Nuclear Anxiety Amid the Russian-Ukrainian War 2022 (RUW-22): Descriptive Cross-Sectional Study.International journal of environmental research and public health · 2023Article
- COVID-19 Vaccine Acceptance among Ajman Undergraduate Dental Students: A Cross-Sectional Study.International journal of dentistry · 2023Article
- Can targeted messages reduce COVID-19 vaccination hesitancy? A randomized trial.Preventive medicine reports · 2022Article
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- Willingness to accept COVID-19 vaccination among people living with HIV in a high HIV prevalence community.BMC public health · 2022Observational
- Willingness to accept COVID-19 vaccination among people living with HIV in a high HIV prevalence community.Research square · 2022Article
- Factors associated with COVID-19 vaccine intent among Latino SNAP participants in Southern California.BMC public health · 2022Article
- Human Consciousness and Behavior towards Infectious Diseases and Vaccines 2.0: A Commentary from Special Issue Editors.Vaccines · 2022Article
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- Czech and Slovak Dental Students' Oral Health-Related Knowledge, Attitudes, and Behaviours (KAB): Multi-Country Cross-Sectional Study.International journal of environmental research and public health · 2022Article
- Estonian Dental Students' Oral Health-Related Knowledge, Attitudes and Behaviours (KAB): National Survey-Based Study.International journal of environmental research and public health · 2022Article
- Oral Health-Related Knowledge, Attitudes and Behaviours of Arab Dental Students: Multi-National Cross-Sectional Study and Literature Analysis 2000-2020.International journal of environmental research and public health · 2022Article
- Prevalence and Drivers of COVID-19 Vaccine Booster Hesitancy Among German University Students and Employees.Frontiers in public health · 2022Article
- Oral Health Knowledge, Attitudes, and Behaviors (KAB) of German Dental Students: Descriptive Cross-Sectional Study.Frontiers in medicine · 2022Article
- COVID-19 Vaccine Hesitancy Among Older Adolescents and Young Adults: A National Cross-Sectional Study in China.Frontiers in public health · 2022Article
- Side Effects of COVID-19 Inactivated Virus vs. Adenoviral Vector Vaccines: Experience of Algerian Healthcare Workers.Frontiers in public health · 2022Article
- Do Attitudes, Mental Health Status, and Interpersonal Factors Predict COVID-19 Vaccine Hesitancy at the Early Phase of the Pandemic? A Longitudinal Study in Chinese College Students.Frontiers in psychology · 2022Article
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Authors and funding
10 authors at 2 institutions in 3 countries.
Funding
Abstract
backgroundyoung adults represent a critical target for mass-vaccination strategies of COVID-19 that aim to achieve herd immunity. Healthcare students, including dental students, are perceived as the upper echelon of health literacy; therefore, their health-related beliefs, attitudes and behaviors influence their peers and communities. The main aim of this study was to synthesize a data-driven model for the predictors of COVID-19 vaccine willingness among dental students.
methodsa secondary analysis of data extracted from a recently conducted multi-center and multi-national cross-sectional study of dental students' attitudes towards COVID-19 vaccination in 22 countries was carried out utilizing decision tree and regression analyses. Based on previous literature, a proposed conceptual model was developed and tested through a machine learning approach to elicit factors related to dental students' willingness to get the COVID-19 vaccine.
resultsmachine learning analysis suggested five important predictors of COVID-19 vaccination willingness among dental students globally, i.e., the economic level of the country where the student lives and studies, the individual's trust of the pharmaceutical industry, the individual's misconception of natural immunity, the individual's belief of vaccines risk-benefit-ratio, and the individual's attitudes toward novel vaccines.
conclusionsaccording to the socio-ecological theory, the country's economic level was the only contextual predictor, while the rest were individual predictors. Future research is recommended to be designed in a longitudinal fashion to facilitate evaluating the proposed model. The interventions of controlling vaccine hesitancy among the youth population may benefit from improving their views of the risk-benefit ratio of COVID-19 vaccines. Moreover, healthcare students, including dental students, will likely benefit from increasing their awareness of immunization and infectious diseases through curricular amendments.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.