Evidence map›Paper›PMID 33592014›Full record

ArticlePloS one2021

Variation in the timing of Covid-19 communication across universities in the UK.

Alejandro Quiroz Flores, Farhana Liza, Husam Quteineh, Barbara Czarnecka

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

4 authors.

Alejandro Quiroz FloresBusiness and Local Government Data Research Centre, University of Essex, Colchester, Essex, United Kingdom.ORCID 0000-0002-5038-4706
Farhana LizaBusiness and Local Government Data Research Centre, University of Essex, Colchester, Essex, United Kingdom.
Husam QuteinehBusiness and Local Government Data Research Centre, University of Essex, Colchester, Essex, United Kingdom.
Barbara CzarneckaDivision of Management, Marketing and People, Business School, London South Bank University, London, United Kingdom.ORCID 0000-0002-8314-1727

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the Covid-19 pandemic, universities in the UK used social media to raise awareness and provide guidance and advice about the disease to students and staff. We explain why some universities used social media to communicate with stakeholders sooner than others. To do so, we identified the date of the first Covid-19 related tweet posted by each university in the country and used survival models to estimate the effect of university-specific characteristics on the timing of these messages. In order to confirm our results, we supplemented our analysis with a study of the introduction of coronavirus-related university webpages. We find that universities with large numbers of students are more likely to use social media and the web to speak about the pandemic sooner than institutions with fewer students. Universities with large financial resources are also more likely to tweet sooner, but they do not introduce Covid-19 webpages faster than other universities. We also find evidence of a strong process of emulation, whereby universities are more likely to post a coronavirus-related tweet or webpage if other universities have already done so.

Indexed as

CommunicationSocial MediaUniversitiesCommunicable Disease ControlCOVID-19Health EducationHumansStudentsTimeUnited Kingdom

Identifiers

PMID33592014
PMCPMC7886223

What OpenQuestion holds

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LicenceCC BY
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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.