Evidence map›Paper›PMID 36913376›Full record

ArticlePloS one2023

Crisis communication in the WHO COVID-19 press conferences: A retrospective analysis.

Sike He, Dapeng Li, Chang-Hai Liu, Ying Xiong, Dan Liu, Jiaming Feng, Ju Wen

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Article in PloS one, 2023. 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
–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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Sike HeWest China School of Medicine, Sichuan University, Chengdu, Sichuan, China.
Dapeng LiWest China School of Pharmacy, Sichuan University, Chengdu, Sichuan, China.
Chang-Hai LiuCenter of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Ying XiongDepartment of Periodical Press/Chinese Evidence-based Medicine Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Dan LiuDepartment of Periodical Press, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Jiaming FengWest China School of Medicine, Sichuan University, Chengdu, Sichuan, China.
Ju WenSchool of Liberal Education, Chengdu Jincheng College, Chengdu, Sichuan, China.ORCID 0000-0002-6778-5098

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe objective of this study is to investigate, from a longitudinal perspective, how WHO communicated COVID-19 related information to the public through its press conferences during the first two years of the pandemic.

methodsThe transcripts of 195 WHO COVID-19 press conferences held between January 22, 2020 and February 23, 2022 were collected. All transcripts were syntactically parsed to extract highly frequent noun chunks that were potential topics of the press conferences. First-order autoregression models were fit to identify "hot" and "cold" topics. In addition, sentiments and emotions expressed in the transcripts were analyzed using lexicon-based sentiment/emotion analyses. Mann-Kendall tests were performed to capture the possible trends of sentiments and emotions over time.

resultsFirst, eleven "hot" topics were identified. These topics were pertinent to anti-pandemic measures, disease surveillance and development, and vaccine-related issues. Second, no significant trend was captured in sentiments. Last, significant downward trends were found in anticipation, surprise, anger, disgust, and fear. However, no significant trends were found in joy, trust, and sadness.

conclusionsThis retrospective study provided new empirical evidence on how WHO communicated issues pertaining to COVID-19 to the general public through its press conferences. With the help of the study, members of the general public, health organizations, and other stake-holders will be able to better understand the way in which WHO has responded to various critical events during the first two years of the pandemic.

Indexed as

COVID-19Social MediaCommunicationHumansRetrospective StudiesWorld Health Organization

Identifiers

PMID36913376
PMCPMC10010532

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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.