Evidence map›Paper›PMID 41333284›Full record

ArticleJugan geon-gang gwa jilbyeong2024

[Comparative Analysis of International Coronavirus Disease 2019 Contact-Tracing, Isolation, and Quarantine (TIQ) Policies and Simulation of Policy Effects].

Chloe Jeongjin Lee, Yeonsu Kim, Gangju Lee, Kiryong Nam, Benimana Dieudonne Theos, Seungpil Jung, Woojoo Lee, Juhwan Oh, Seung-Sik Hwang, Dasol Kim

Abstract readEnglish Abstract
In one paragraph

Article in Jugan geon-gang gwa jilbyeong, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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

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

10 authors.

Chloe Jeongjin Lee서울대학교 보건대학원 보건학과.
Yeonsu Kim서울대학교 보건대학원 보건학과.
Gangju Lee서울대학교 보건대학원 보건학과.
Kiryong Nam서울대학교 보건대학원 보건학과.
Benimana Dieudonne Theos서울대학교 보건대학원 보건학과.
Seungpil Jung서울대학교 보건대학원 보건학과.
Woojoo Lee서울대학교 보건대학원 보건학과.
Juhwan Oh서울대학교 의과대학 의학과.
Seung-Sik Hwang서울대학교 보건대학원 보건학과.
Dasol Kim질병관리청 감염병위기관리국 위기관리총괄과.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contact-tracing and isolation policies implemented by many countries during the novel coronavirus disease 2019 (COVID-19) pandemic have demonstrated significant effectiveness in disease containment. However, there are no standardized guidelines or indicators for contact-tracing policies in the face of new infectious diseases or variants of concern. The present study reviewed contact-tracing and isolation processes, economic incentives, and policy evaluation models for COVID-19 in major countries. In addition, a policy-effect simulation was conducted using a COVID-19 Agent-based Simulator (Covasim) model applied to domestic data. The present study introduces cases from 13 countries including Japan, Singapore, and Australia. The Covasim model analysis suggests that maintaining a certain level of contact-tracing is crucial, because the savings in COVID-19 tests when increasing the contact-tracing rate to >60% are not substantial. When supplemented by the issues raised in this study, contact-tracing, isolation, and quarantine (TIQ) policy can be an effective strategy for infectious disease prevention. Moreover, standardized evaluation metrics for TIQ policies should be developed to prepare for emerging infectious diseases. During the COVID-19 pandemic, many countries have implemented TIQ policies to control spread of the disease. Based on a review of the countries' policies and their respective evaluations, we determined the elements to be considered when implementing such policies. The Covasim model adopted from domestic data can be used to evaluate policy effectiveness. TIQ policy that increases participation and acceptance could be an effective strategy for controlling infectious diseases. Standardized TIQ policy evaluation indicators must be developed for efficient policy simulations of future novel infectious disease outbreaks.

Indexed as

Computational modelingContact tracingCoronavirus disease 2019National Health Policy

Identifiers

PMID41333284
PMCPMC12480226

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LicenceCC BY-NC
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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.