ReviewVaccines2022
A Lesson from the Green Pass Experience in Italy: A Narrative Review.
Review in Vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- A scoping review of vaccine certificate implementation in Canada and OECD countries during the COVID-19 pandemic: Outcomes and lessons learned.Human vaccines & immunotherapeutics · 2026Article
- The association of parental COVID-19 vaccination decisions with the mental health and lifestyle of children and adolescents.Scientific reports · 2026Article
- Why science must speak differently.Infectious agents and cancer · 2025Article
- Trust levels toward health care and government: insights from TrustMe, an Italian cross-sectional study.Journal of preventive medicine and hygiene · 2024Article
- On the determinants of anti-COVID restriction and anti-vaccine movements: the case of IoApro in Italy.Scientific reports · 2023Article
- Adolescents' Opinions on COVID-19 Vaccine Hesitancy: Hints toward Enhancing Pandemic Preparedness in the Future.Vaccines · 2023Article
- The role of digital literacy in achieving health equity in the third millennium society: A literature review.Frontiers in public health · 2023Review
- Narrative Review of the COVID-19 Pandemic's First Two Years in Italy.International journal of environmental research and public health · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The COVID-19 outbreak has raised several global challenges related to disease management while highlighting the need to embrace a multidimensional approach in dealing with events such as. Due to the singular features of SARS-CoV-2, an appropriate medical response was required to develop new vaccines able to tackle it effectively. Mass vaccination plans were thus promptly launched around the world. However, vaccine uptake has been coupled with growing concerns that have affected people's willingness to get vaccinated. To promote compliance with vaccination campaigns, many governments introduced the use of vaccination certificates and immunization passports. Studies have discussed some benefits and cons coupled with the rollout of vaccine passports or certificates. This paper takes up and extends this discussion by showing the results of a mini- narrative review we undertook with the aim of critically summarizing the existing scholarly research on the Green Pass in Italy. In analyzing the 12 included records, we explored the scientific viability of this measure, as well as the concerns and criticisms it has raised and the recommendations that have been proposed to address them, as a starting point to consider how the lesson learned in the Italian context can contribute to informing future reflections and strategies in view ofanother pandemic event.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.