Evidence map›Paper›PMID 35318762›Full record

ArticleHealth economics2022

Perceived risk and vaccine hesitancy: Quasi-experimental evidence from Italy.

Claudio Deiana, Andrea Geraci, Gianluca Mazzarella, Fabio Sabatini

Open access · hybridAbstract read
In one paragraph

Article in Health economics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact, top 100% 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

7 citing papers in PubMed, 0 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. National or local infodemic? The demand for news in Italy during COVID-19.International journal of health economics and management · 2023
    Article
  5. Trust and COVID-19 vaccine hesitancy.Scientific reports · 2023
    Article
  6. Article
  7. 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 4 institutions in 3 countries.

Claudio DeianaUniversity of Cagliari and CRENoS, Cagliari, Italy.ORCID 0000-0002-2576-9997
Andrea GeraciUniversity of Pavia, Pavia, Italy.
Gianluca MazzarellaEuropean Commission, Joint Research Centre (JRC) Ispra, Ispra, Italy.
Fabio SabatiniSapienza University of Rome, Rome, Italy.
European Commission · BEIZA - Institute of Labor Economics · DEUniversity of Cagliari · ITUniversity of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In March 2021, Italian health authorities suspended the Vaxzevria vaccine (VA) for 4 days over reports of very rare blood disorders among recipients. We exploit the quasi-experimental setting arising from this break to study the drivers of vaccine hesitancy. Before the suspension, the VA vaccination trend followed the same pattern as Pfizer-Biontech (PB). After the suspension, VA and PB injections started to diverge, with VA daily decreasing by almost 60 doses per 100,000 inhabitants for the following 3 weeks. The resulting vaccination rate was 60 percent lower than the value that would have stemmed from the VA pre-suspension pattern. We show that the slowdown was weaker and less persistent in regions with higher COVID penetration and steadier and more pronounced in regions displaying greater attention to vaccine side effects as detected through Google searches. The public's interest in vaccine adverse events negatively correlates with COVID cases and deaths across regions.

Indexed as

COVID-19VaccinesCOVID-19 VaccinesHumansSARS-CoV-2Vaccination HesitancyCOVID-19 VaccinesVaccinesCOVID-19Google searchesvaccine hesitancyVaxzevria vaccine

Identifiers

PMID35318762
PMCPMC9314121
OpenAlexW3217017209

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.