Parents’ intent to vaccinate against influenza during the COVID-19 pandemic in two regions in Switzerland
Bibliographic record
Abstract
AIMS OF THE STUDY: The COVID-19 pandemic is likely to overlap with the seasonal influenza epidemic, increasing the risk of overextending the health system capacity in Switzerland. Influenza vaccine uptake has remained low in most countries, including Switzerland. The aim of the study was to determine parents’ intentions towards influenza vaccination of their children, as well as themselves, and to assess regional differences. METHODS: Parents presenting to four paediatric emergency departments (Zurich, Bern, Bellinzona, Geneva) were asked to complete an online survey during and after the first lockdown of the COVID-19 pandemic (April to June 2020). The anonymised survey included demographic information, vaccination history and intentions to vaccinate against influenza, as well as attitudes towards future vaccination against COVID-19. RESULTS: The majority of children (92%; 602/654) were up-to-date on their vaccination schedule. In 2019/2020, 7.2% (47/654) were vaccinated against influenza. Children with chronic illnesses were more frequently vaccinated than healthy children (19.2% vs 5.6%; p = 0.002). For the coming winter season, 111 (17%) parents stated they plan to vaccinate their children against influenza, more than double the rate from last year, and 383 (59.2%) parents suggested they will vaccinate against COVID-19 once a vaccine is available. Regional differences between “German” and “Latin” Switzerland were found for parents’ intent to have their children vaccinated against influenza next season (Zurich and Bern 14.3%, Bellinzona and Geneva 27.2%, p <0.001), but not for a hypothetical vaccination against COVID-19 (Zurich and Bern 59.1%, Bellinzona and Geneva 59.7%, p = 0.894). CONCLUSIONS: The COVID-19 pandemic resulted in a substantial increase of parents’ intention to vaccinate their children against influenza, especially in hard-hit “Latin” Switzerland. The Swiss government and public health organisations can leverage these regional results to promote influenza vaccination among children for the coming seasons.
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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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".