Evidence map›Paper›PMID 35313476›Full record

ArticleInternational journal of disaster risk reduction : IJDRR2022

Risk communication and community engagement during COVID-19.

Shabana Khan, Jyoti Mishra, Nova Ahmed, Chioma Daisy Onyige, Kuanhui Elaine Lin, Renard Siew, Boon Han Lim

Open access · greenAbstract read
In one paragraph

Article in International journal of disaster risk reduction : IJDRR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
30.8field-weighted citation impact, top 1% 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 81 citations in OpenAlex.

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  13. One health and bat-borne henipaviruses.New microbes and new infections · 2024
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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

7 authors at 5 institutions in 5 countries.

Shabana KhanIndian Research Academy, India.
Jyoti MishraUniversity of Leeds, United Kingdom.
Nova AhmedNorth South University, Bangladesh.
Chioma Daisy OnyigeUniversity of Port Harcourt, Nigeria.
Kuanhui Elaine LinNational Taiwan Normal University, Taiwan.
Renard SiewUNITAR University, Malaysia.
Boon Han LimUniversiti Tunku Abdul Rahman, Malaysia.
National Taiwan Normal University · TWNorth South University · BDUniversiti Tunku Abdul Rahman · MYUniversity of Leeds · GBUniversity of Port Harcourt · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In today's information age, both excess and lack of information can cause a disaster. COVID-19 pandemic not only highlighted the significance of risk communication but also pointed out several unintended and distressing consequences due to information gaps and miscommunications. Despite facing a common threat, the local communities suffered differential impacts during the pandemic. This paper classifies the nature of risk communications experienced across different countries into three categories, namely: inadequate, ideal, and infodemic risk communication that influenced the local perceptions and responses. It further argues that inadequately planned risk communications tend to create new risks and compromise the efforts towards managing a disaster. As global risks are responded locally, there is a need for more inclusive and engaging risk communication that involves communities as responsible stakeholders who understand, plan, and respond to risks to increase their propensity for resilience during disasters and crisis situations.

Indexed as

Community engagementCOVID-19Disaster responseInfodemicPandemicPublic healthRisk communication

Identifiers

PMID35313476
PMCPMC8925315
OpenAlexW4220908774

What OpenQuestion holds

Textmetadata
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.