Evidence map›Paper›PMID 38400159›Full record

ArticleVaccines2024

Vaccine Hesitancy and Public Mistrust during Pandemic Decline: Findings from 2021 and 2023 Cross-Sectional Surveys in Northern Italy.

Verena Barbieri, Christian J Wiedermann, Stefano Lombardo, Giuliano Piccoliori, Timon Gärtner, Adolf Engl

Abstract read
In one paragraph

Article in Vaccines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

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  5. A review of childhood rotavirus vaccination policies and a presentation of vaccine coverage trends at national and regional level, Italy, 2016 to 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Verena BarbieriInstitute of General Practice and Public Health, Claudiana-College of Health Professions, 39100 Bolzano, Italy.
Christian J WiedermannInstitute of General Practice and Public Health, Claudiana-College of Health Professions, 39100 Bolzano, Italy.ORCID 0000-0002-4639-8195
Stefano LombardoProvincial Institute for Statistics of the Autonomous Province of Bolzano-South Tyrol (ASTAT), 39100 Bolzano, Italy.
Giuliano PiccolioriInstitute of General Practice and Public Health, Claudiana-College of Health Professions, 39100 Bolzano, Italy.
Timon GärtnerProvincial Institute for Statistics of the Autonomous Province of Bolzano-South Tyrol (ASTAT), 39100 Bolzano, Italy.ORCID 0000-0001-6187-5159
Adolf EnglInstitute of General Practice and Public Health, Claudiana-College of Health Professions, 39100 Bolzano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines vaccine agreements in South Tyrol, Italy, within distinct socio-cultural and linguistic contexts. Using data from the 2021 and 2023 "COVID-19 Snapshot Monitoring" extended surveys, we assessed changes in attitudes towards COVID-19 and other vaccinations during the second and final years of the pandemic. Multivariate logistic regression analysis was used to examine factors such as trust in institutions, language groups, and the use of complementary and alternative medicine. The representativeness of the study is supported by good participation rates, ensuring a comprehensive view of attitudes towards vaccination in the region. The results show a shift in public agreement with the national vaccination plan to 64% by 2023, from a rate of about 73% agreement in 2021 (

Indexed as

CAMcompulsory vaccinationCOVID-19 vaccinationlanguagetrust in institutions

Identifiers

PMID38400159
PMCPMC10892034

What OpenQuestion holds

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Registered trials

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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.