COVID-19 vaccine hesitancy among healthcare workers in Nigeria: A systematic review protocol
Bibliographic record
Abstract
Background: The COVID-19 pandemic has led to a significant change in society. Healthcare workers are at risk of contracting the novel virus while at work as it becomes a hospital-acquired infection, starting from the first wave of the pandemic. Healthcare workers can acquire and transmit the virus from the medical workplace to their households. Hence they must receive the COVID-19 vaccine. However, some healthcare workers have refused to get inoculated with the COVID-19 vaccine, exhibiting vaccine hesitancy. There are several reasons healthcare workers knowledgeable about vaccines refuse to receive them—this protocol is for a systematic review of hesitation towards the COVID-19 vaccine among healthcare workers in Nigeria.
 Aim and Objectives: To investigate vaccine hesitancy among healthcare workers in Nigeria.
 Methods and Analysis: This protocol followed the preferred reporting items for systematic review and meta-analysis (PRISMA-P) 2015 guideline and is registered with PROSPERO. The registration number is CRD42022365489. We will conduct an electronic search for pertinent papers in several databases, including Medline, Embase, Cochrane Central Library, Scopus, web of Science Citation Index, and African Index Medicus. The search period will be between March 7, 2021 to March 27, 2023, for published articles on healthcare professionals' hesitation to receive the COVID-19 vaccine.
 Three independent reviewers will select the articles based on strict eligibility criteria, and a fourth reviewer will address any disagreement.
 We will use the New Castle Ottawa scale to assess the risk of bias in the included studies and perform quantitative and qualitative synthesis. The former is for sufficiently similar studies, using Review Manager Version 5.3. While the latter will be conducted where variabilities exist among the studies.
 Conclusion: Even though healthcare workers have more knowledge about the COVID-19 pandemic and the COVID-19 vaccine compared to the members of the public, some of them exhibit hesitancy towards the COVID-19 vaccine.
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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 | 0.013 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".