Evidence map›Paper›PMID 35646550›Full record

ArticleInternational journal of disaster risk reduction : IJDRR2022

Efficacy information in Government's initial responses to Covid-19 pandemic: A content analysis of the media coverage in Indonesia.

Rizanna Rosemary, Tri Hastuti Nur Rochimah, Novi Susilawati

Abstract 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. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Rizanna RosemaryDepartment of Communication Studies, Faculty of Social and Political Sciences, Universitas Syiah Kuala, Banda Aceh, Indonesia.
Tri Hastuti Nur RochimahDepartment of Communication Studies, Universitas Muhammadiyah, Yogyakarta, Indonesia.
Novi SusilawatiDepartment of Communication Studies, Faculty of Social and Political Sciences, Universitas Syiah Kuala, Banda Aceh, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inevitable uncertainty conditions during the Covid-19 crisis resulted in an extension of the inadequate information and knowledge shared about the pandemic. The media plays a significant role in reporting and communicating risks related to the global Covid-19 outbreak. People can respond well to the risk of coronavirus if they understand the impact of the pandemic through efficacy information about the pandemic. However, a previous study revealed that media organizations lack quick action and response to Covid-19. Furthermore, no study was found to understand how media provides efficacy information on the government's early response to the Covid-19 pandemic. The study aims to examine and analyze the external efficacy information of the government's initial responses during the early stage of the outbreak in four national online newspapers (Kompas.com, Tempo.co, Republika.co.id, Tirto.id). The articles were classified based on themes derived from the keywords search-effect/impact, response/action, policy/restriction on the Covid-19 pandemic, and assessed the pandemic's most prominent external efficacy information within the local, national, and global context in each article in the four media. From 704 articles analyzed, our study revealed dominant-negative tones on the impact of the pandemic, including inconsistent actions and policies taken to prevent the transmission of the virus. Our study suggests that increasing positive efficacy information and improving media engagement are vital communication goals to better educate the public about the coronavirus and minimize uncertainty during the pandemic.

Indexed as

Content analysisCovid-19Efficacy informationIndonesiaMedia coverage

Identifiers

PMID35646550
PMCPMC9130335

What OpenQuestion holds

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Registered trials

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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.