Evidence map›Paper›PMID 34207404›Full record

ArticleHealthcare (Basel, Switzerland)2021

An Examination of COVID-19 Mitigation Efficiency among 23 Countries.

Emily Chia-Yu Su, Cheng-Hsing Hsiao, Yi-Tui Chen, Shih-Heng Yu

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Changing patterns of infectious diseases in children during the COVID-19 pandemic.Frontiers in cellular and infection microbiology · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. 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

4 authors.

Emily Chia-Yu SuGraduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei 11031, Taiwan.ORCID 0000-0003-4801-5159
Cheng-Hsing HsiaoDepartment of Health Care Management, College of Health Technology, National Taipei University of Nursing and Health Sciences, Taipei 11219, Taiwan.
Yi-Tui ChenDepartment of Health Care Management, College of Health Technology, National Taipei University of Nursing and Health Sciences, Taipei 11219, Taiwan.
Shih-Heng YuDepartment of Business Management, National United University, Miaoli 36003, Taiwan.ORCID 0000-0002-3604-5062

Funding

Ministry of Science and Technology, Taiwan MOST 108-2410-H-227-008
6 · The paper itself

Abstract

The purpose of this paper was to compare the relative efficiency of COVID-19 transmission mitigation among 23 selected countries, including 19 countries in the G20, two heavily infected countries (Iran and Spain), and two highly populous countries (Pakistan and Nigeria). The mitigation efficiency for each country was evaluated at each stage by using data envelopment analysis (DEA) tools and changes in mitigation efficiency were analyzed across stages. Pearson correlation tests were conducted between each change to examine the impact of efficiency ranks in the previous stage on subsequent stages. An indicator was developed to judge epidemic stability and was applied to practical cases involving lifting travel restrictions and restarting the economy in some countries. The results showed that Korea and Australia performed with the highest efficiency in preventing the diffusion of COVID-19 for the whole period covering 105 days since the first confirmed case, while the USA ranked at the bottom. China, Japan, Korea, and Australia were judged to have recovered from the attack of COVID-19 due to higher epidemic stability.

Indexed as

COVID-19epidemic stabilitymitigation efficiencystay-at-home order

Identifiers

PMID34207404
PMCPMC8235777

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.