Evidence map›Paper›PMID 35627676›Full record

ArticleInternational journal of environmental research and public health2022

Attitudes and Beliefs of the Italian Population towards COVID-19 Vaccinations.

Nadia Rania, Ilaria Coppola, Marta Brucci, Francesca Lagomarsino

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 37% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

4 authors at 1 institution in 1 country.

Nadia RaniaDepartment of Education Sciences, University of Genoa, 16128 Genoa, Italy.ORCID 0000-0001-5952-8094
Ilaria CoppolaDepartment of Education Sciences, University of Genoa, 16128 Genoa, Italy.
Marta BrucciDepartment of Education Sciences, University of Genoa, 16128 Genoa, Italy.
Francesca LagomarsinoDepartment of Education Sciences, University of Genoa, 16128 Genoa, Italy.
University of Genoa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the numerous campaigns to encourage vaccination against COVID-19, the public debate and often conflicting information have left many individuals uncertain about the decision to make on whether or not to vaccinate.

methodsThis research aims to analyze the attitudes and beliefs of the Italian population towards COVID-19 and other vaccinations through a quantitative methodology. In all, 500 adults (Age M = 39.52) participated in this exploratory study with an online questionnaire conducted in April 2021.

resultsmost participants believe vaccination is necessary to defeat COVID-19; there is an age-related difference in getting vaccinations, and women were more afraid of unexpected future effects than men; older participants have expressed a greater willingness to pay to be vaccinated against COVID-19 (4).

conclusionIn light of these results, it is necessary to pay greater attention to the perplexity and fears expressed by the population, especially women and youth, in relation to vaccinations; in fact, it would help to achieve a wider adherence to the tools designed to contain the spread of viruses at the base of severe health crises.

Indexed as

COVID-19COVID-19 VaccinesAdolescentAdultFemaleHumansItalyMalePatient Acceptance of Health CareVaccinationCOVID-19 Vaccinesattitudes and beliefsCOVID-19 vaccinationItalyquantitative research

Identifiers

PMID35627676
PMCPMC9141803
OpenAlexW4280614865

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.