Evidence map›Paper›PMID 32228808›Full record

ArticleEmerging infectious diseases2020

Policy Decisions and Use of Information Technology to Fight COVID-19, Taiwan.

Cheryl Lin, Wendy E Braund, John Auerbach, Jih-Haw Chou, Ju-Hsiu Teng, Pikuei Tu, Jewel Mullen

Open access · diamondAbstract read
In one paragraph

Article in Emerging infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 3 pooled it
4.6field-weighted citation impact, top 4% 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

68 citing papers in PubMed, 3 syntheses or guidelines pooled it, 146 citations in OpenAlex.

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  16. Modeling Key Strategies for Reducing Socio-Economic and Health Crisis: Perspective from COVID-19 Pandemic.International journal of environmental research and public health · 2022
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8 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Cheryl Lin
Wendy E Braund
John Auerbach
Jih-Haw Chou
Ju-Hsiu Teng
Pikuei Tu
Jewel Mullen
University of Pittsburgh · USThe University of Texas at Austin · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because of its proximity to and frequent travelers to and from China, Taiwan faces complex challenges in preventing coronavirus disease (COVID-19). As soon as China reported the unidentified outbreak to the World Health Organization on December 31, 2019, Taiwan assembled a taskforce and began health checks onboard flights from Wuhan. Taiwan's rapid implementation of disease prevention measures helped detect and isolate the country's first COVID-19 case on January 20, 2020. Laboratories in Taiwan developed 4-hour test kits and isolated 2 strains of the coronavirus before February. Taiwan effectively delayed and contained community transmission by leveraging experience from the 2003 severe acute respiratory syndrome outbreak, prevalent public awareness, a robust public health network, support from healthcare industries, cross-departmental collaborations, and advanced information technology capacity. We analyze use of the National Health Insurance database and critical policy decisions made by Taiwan's government during the first 50 days of the COVID-19 outbreak.

Indexed as

BetacoronavirusHealth PolicyInformation TechnologyAdultCoronavirus InfectionsCOVID-19FemaleHumansIntersectoral CollaborationMaleMiddle AgedPandemicsPneumonia, ViralPublic HealthQuarantineSARS-CoV-22019 novel coronavirus diseasecommunicable diseasescoronavirusCOVID-19data sharingelectronic medical recordsemerging infectious diseasesepidemichealth policynational health insuranceoutbreakpneumoniapublic healthquarantinerespiratory infectionsSARSSARS-CoV-2severe acute respiratory syndrome coronavirus 2Taiwanuniversal health careviruseszoonoses

Identifiers

PMID32228808
PMCPMC7323533
OpenAlexW3046384897

What OpenQuestion holds

Textmetadata
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.