Evidence map›Paper›PMID 33191093›Full record

ArticleJournal of the Formosan Medical Association = Taiwan yi zhi2021

Taiwan's COVID-19 response: Timely case detection and quarantine, January to June 2020.

Hao-Yuan Cheng, Yu-Neng Chueh, Chiu-Mei Chen, Shu-Wan Jian, Shu-Kuan Lai, Ding-Ping Liu

Abstract read
In one paragraph

Article in Journal of the Formosan Medical Association = Taiwan yi zhi, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  15. Review
  16. Proactive and blended approach for COVID-19 control in Taiwan.Biochemical and biophysical research communications · 2021
    Article
  17. Article
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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

6 authors.

Hao-Yuan ChengTaiwan Centers for Disease Control, Taipei City, Taiwan.
Yu-Neng ChuehTaiwan Centers for Disease Control, Taipei City, Taiwan.
Chiu-Mei ChenTaiwan Centers for Disease Control, Taipei City, Taiwan.
Shu-Wan JianTaiwan Centers for Disease Control, Taipei City, Taiwan.
Shu-Kuan LaiTaiwan Centers for Disease Control, Taipei City, Taiwan.
Ding-Ping LiuTaiwan Centers for Disease Control, Taipei City, Taiwan; National Taipei University of Nursing and Health Sciences, Taipei City, Taiwan. Electronic address: dpliu@cdc.gov.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has become severe threats to economic, societal, and healthcare systems. To analyze the epidemiological characteristics of the COVID-19 outbreak in Taiwan and evaluate the key interventions, we conducted a retrospective cohort study during January 17-June 30, 2020. As of June 30, the COVID-19 outbreak, including 447 laboratory-confirmed cases, was eliminated by mixed approaches: border control, enhanced surveillance, case detection with contact tracing, quarantine, and population-based interventions like face mask use. The improvement of median time from disease onset to notification (5 days [range -3 to 27] before March 1 to 1 day [range -8 to 22] after March 1) suggested the timeliness and comprehensiveness of surveillance and contact tracing. Travel restrictions with quarantine, resulting in fewer clusters, were also complementary to minimize disease spread. Under combined interventions, Taiwan successfully contained the COVID-19 spread within the country and minimized its impact on the society.

Indexed as

COVID-19QuarantineHumansRetrospective StudiesSARS-CoV-2TaiwanCOVID-19OutbreakQuarantineSARS-CoV-2Surveillance

Identifiers

PMID33191093
PMCPMC7605820

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.