Evidence map›Paper›PMID 36348909›Full record

ReviewCureus2022

COVID-19 Misinformation: A Potent Co-Factor in the COVID-19 Pandemic.

Ishan Aiyer, Likhita Shaik, Rahul Kashyap, Salim Surani

Abstract readReview
In one paragraph

Review in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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.

Ishan AiyerEducation, Blair Academy, Blairstown, USA.
Likhita ShaikFamily Medicine, Hennepin Healthcare, Minneapolis, USA.
Rahul KashyapCritical Care Medicine, Mayo Clinic, Rochester, USA.
Salim SuraniAnesthesiology, Mayo Clinic, Rochester, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19, the biggest global health crisis of our times was complicated by an equally potent co-factor: the misinformation infodemic. A confluence of unique factors led to the emergence of the crisis of misinformation, including the widespread reach of social media, the lack of credible sources and strategies for information dissemination, and the sticky and virulent nature of the misinformation campaigns. One of the primary targets of the misinformation campaign was the COVID-19 vaccine effort, leading to significant impediments to implementing an effective and successful vaccination campaign. The time to act is now and will need a concerted multipronged approach with a close partnership between scientists, public health agencies, government agencies, and social media companies to foster accuracy in the exchange of health information in social media and curb the menace of misinformation. This paper aims to review the scope of the problem and examine strategies to help mitigate it.

Indexed as

covid-19covid-19 retrodisinformationethicsinfodemicmisinformationsocial mediavaccinevaccine hesitancy

Identifiers

PMID36348909
PMCPMC9637323

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.