Evidence map›Paper›PMID 33764272›Full record

ArticleHuman vaccines & immunotherapeutics2022

Digital tools, multidisciplinarity and innovation for communicating vaccine safety in the COVID-19 era.

Francesco Gesualdo, Lucie M Bucci, Caterina Rizzo, Alberto E Tozzi

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Risk management and communication plans from SARS to COVID-19 and beyond.The International journal of health planning and management · 2022
    Review
  4. Article
  5. 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.

Francesco GesualdoMultifactorial and Complex Diseases Research Area, Bambino Gesù Children's Hospital, Rome, Italy.ORCID 0000-0002-9087-4398
Lucie M BucciImmunize Canada, Canadian Public Health Association, Ottawa, Canada.
Caterina RizzoMultifactorial and Complex Diseases Research Area, Bambino Gesù Children's Hospital, Rome, Italy.
Alberto E TozziMultifactorial and Complex Diseases Research Area, Bambino Gesù Children's Hospital, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The research on the anti-SARS-CoV-2 vaccines and their commercialization is an opportunity to test and consolidate the current knowledge along with the diverse available tools related to vaccine communication.In this paper we explore the value of a multidisciplinary approach in this field: vaccine communication activities can be combined with insights from data science, risk communication, behavior change, design thinking and digital marketing. Methodologies derived from innovation and human-centered design can contribute to the development and testing of vaccine promotion campaigns, speeding up processes and streamlining the production of evidence in this area. The multiple activities involving the anti-SARS-CoV-2 vaccine could be the fertile ground in which to develop, test and refine effective frameworks to transfer data acquired through listening strategies into effective vaccine promotion campaigns. The World Health Organization's Vaccine Safety Net is an interesting example of trusted information sources that aim toward using digital tools and innovative methodologies for communicating science-based information on vaccine safety at the global level.

Indexed as

COVID-19VaccinesCommunicationCOVID-19 VaccinesHumansSARS-CoV-2COVID-19 VaccinesVaccineshuman-centered designinfodemicinnovationsocial media listeningVaccine communicationvaccine safetyvaccine safety net

Identifiers

PMID33764272
PMCPMC8920147

What Socratic 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 Socratic graph.