Vaccine Acceptance and Hesitancy among College Students in Nevada: A State-Wide Cross-Sectional Study
Bibliographic record
Abstract
The purpose of this study was to identify factors related to COVID-19 vaccine acceptance and hesitancy in a diverse state-wide population of students. An electronic survey was emailed to students in the Nevada System of Higher Education to assess effects of the pandemic. The survey included questions related to vaccine status, interest in receiving the COVID-19 vaccine, factors influencing these decisions, and sources of health information. Among the 3773 respondents, over half (54%) were accepting of the vaccine, including vaccinated students (18.9%). Nearly one quarter (23.5%) expressed hesitancy to receive the vaccine, citing concerns about side effects and the need for more research. Factors related to hesitancy included female gender, increasing age, place of residence, marital status, and Black or Native American race. Vaccine hesitant respondents were less likely than other respondents to rely on public health agencies or newspapers for health information, and more likely to rely on employers, clinics, or "no one". Culturally appropriate efforts involving COVID-19 vaccine information and distribution should target certain groups, focusing on factors such as side effects, development and testing of the vaccine. Research should investigate sources of health information of people who are hesitant to receive vaccines.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".