Evidence map›Paper›PMID 37551076›Full record

ArticleJournal of preventive medicine and public health = Yebang Uihakhoe chi2023

Utilization of the Unlinked Case Proportion to Control COVID-19: A Focus on the Non-pharmaceutical Interventional Policies of the Korea and Japan.

Yeri Jeong, Sanggu Kang, Boeun Kim, Yong Jin Gil, Seung-Sik Hwang, Sung-Il Cho

Abstract read
In one paragraph

Article in Journal of preventive medicine and public health = Yebang Uihakhoe chi, 2023. 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yeri JeongDepartment of Preventive Medicine, Graduate School of Public Health, Seoul National University, Seoul, Korea.
Sanggu KangDepartment of Preventive Medicine, Graduate School of Public Health, Seoul National University, Seoul, Korea.
Boeun KimGraduate School of Public Health, Seoul National University, Seoul, Korea.
Yong Jin GilDepartment of Preventive Medicine, Graduate School of Public Health, Seoul National University, Seoul, Korea.
Seung-Sik HwangDepartment of Preventive Medicine, Graduate School of Public Health, Seoul National University, Seoul, Korea.
Sung-Il ChoDepartment of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Korea.

Funding

Seegene Medical Foundation 200-20210107
6 · The paper itself

Abstract

objectivesKorea and Japan have managed the spread of coronavirus disease 2019 (COVID-19) using markedly different policies, referred to as the "3T" and "3C" strategies, respectively. This study examined these differences to assess the roles of active testing and contact tracing as non-pharmaceutical interventions (NPIs). We compared the proportion of unlinked cases (UCs) and test positivity rate (TPR) as indicators of tracing and testing capacities.

methodsWe outlined the evolution of NPI policies and investigated temporal trends in their correlations with UCs, confirmed cases, and TPR prior to the Omicron peak. Spearman correlation coefficients were reported between the proportion of UCs, confirmed cases, and TPR. The Fisher r-to-z transformation was employed to examine the significance of differences between correlation coefficients.

resultsThe proportion of UCs was significantly correlated with confirmed cases (r=0.995, p<0.001) and TPR (r=0.659, p<0.001) in Korea and with confirmed cases (r=0.437, p<0.001) and TPR (r=0.429, p<0.001) in Japan. The Fisher r-to-z test revealed significant differences in correlation coefficients between the proportion of UCs and confirmed cases (z=16.07, p<0.001) and between the proportion of UCs and TPR (z=2.12, p=0.034) in Korea and Japan.

conclusionsHigher UCs were associated with increases in confirmed cases and TPR, indicating the importance of combining testing and contact tracing in controlling COVID-19. The implementation of stricter policies led to stronger correlations between these indicators. The proportion of UCs and TPR effectively indicated the effectiveness of NPIs. If the proportion of UCs shows an upward trend, more testing and contact tracing may be required.

Indexed as

COVID-19Contact TracingCOVID-19 TestingHumansJapanQuarantineRepublic of KoreaContact tracingCOVID-19COVID-19 testingQuarantineUnlinked case

Identifiers

PMID37551076
PMCPMC10415646

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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.