Evidence map›Paper›PMID 34828533›Full record

ArticleHealthcare (Basel, Switzerland)2021

Information Disclosure Contents of the COVID-19 Data Dashboard Websites for South Korea, China, and Japan: A Comparative Study.

Bo Zhao, Mahyeon Kim, Eun Woo Nam

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 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
  3. Article
  4. 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

3 authors.

Bo ZhaoDepartment of Health Administration, Graduate School, Yonsei University, 1 Yonseidae-gil, Gangwon-do, Wonju 26493, Korea.ORCID 0000-0002-6780-1633
Mahyeon KimDepartment of Health Administration, Graduate School, Yonsei University, 1 Yonseidae-gil, Gangwon-do, Wonju 26493, Korea.
Eun Woo NamHealthy City Research Center, Institute of Health and Welfare, Yonsei University, 1 Yonseidae-gil, Gangwon-do, Wonju 26493, Korea.ORCID 0000-0002-3517-6247

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Official responses to the COVID-19 pandemic have prioritized information disclosure. Timely and comprehensive information released by the authorities is conveyed mainly through dashboards, which can better inform the public and help them prepare for the pandemic. However, there is limited evidence regarding the COVID-19 dashboard data presentation for South Korea, China, and Japan. This study aimed to describe the current COVID-19 situation in the three countries and compare the information disclosure content on their COVID-19 dashboards. Based on the COVID-19 data released and updated by each country's official authorities, two dashboard websites used by many people in each country were selected. We conducted content analysis and developed a checklist (39 items in five categories: cases, testing, vaccines, health information, and additional items) based on the structure of each country's COVID-19 dashboard website to assess COVID-19 information disclosure. Japan experienced the worst outbreak among the three countries. They all provided basic dynamic data displayed on the dashboard, while the performance in key categories varied substantially between the countries (South Korea: 30/39 items; China: 25/39 items; Japan: 30/39 items). Moreover, as part of the publicly accessible information recorded by each nation, there were differences in the key indicators published and important facts disclosed. Improvement in reporting techniques and disclosure methods will help countries communicate more effectively with the public and conduct more efficient public health research.

Indexed as

ChinaCOVID-19dashboard websiteinformation disclosureJapanSouth Korea

Identifiers

PMID34828533
PMCPMC8619658

What OpenQuestion holds

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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.