Evidence map›Paper›PMID 40597789›Full record

ArticleBMC infectious diseases2025

Impact of imported COVID-19 cases on South Korea's response: variant transitions and regional patterns (2020-2023).

Haram Seo, Minchan Choi, Gerardo Chowell, Hyosun Lee, Byul Nim Kim, Sunmi Lee

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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.

Haram Seo *Applied Mathematics, Kyung Hee University, Deogyeong-daero, 17104, Yongin, Gyeonggi, Korea.
Minchan Choi *Applied Mathematics, Kyung Hee University, Deogyeong-daero, 17104, Yongin, Gyeonggi, Korea.
Gerardo Chowell *Population Health Sciences, Georgia State University, Street, GA 30303, Atlanta, Georgia, USA.
Hyosun LeeApplied Mathematics, Kyung Hee University, Deogyeong-daero, 17104, Yongin, Gyeonggi, Korea.
Byul Nim KimApplied Mathematics, Kyung Hee University, Deogyeong-daero, 17104, Yongin, Gyeonggi, Korea.
Sunmi LeeApplied Mathematics, Kyung Hee University, Deogyeong-daero, 17104, Yongin, Gyeonggi, Korea. sunmilee@khu.ac.kr.

Funding

National Research Foundation of Korea 2022R1A5A1033624
6 · The paper itself

Abstract

backgroundThe global spread of infectious diseases like COVID-19, accelerated by globalization and frequent international interactions, poses a serious threat to public health. Robust epidemiological data on imported cases is essential for managing cross-border disease transmission, enabling targeted public health responses through international cooperation and enhanced surveillance. This study investigates the impact of imported COVID-19 cases on South Korea's pandemic response from January 2020 to May 2023.

methodsWe analyzed 78,495 imported COVID-19 cases reported by the Korea Disease Control and Prevention Agency (KDCA) from January 2020 to May 2023. The dataset included demographic information, countries of origin, entry points, and information on dominant viral variants during the specified period. Temporal and spatial analyses examined how variant transitions, particularly from Delta to Omicron, and quarantine policy changes influenced imported case patterns. We calculated the "confirmation lag," the time between entry and confirmation, and applied Kernel Density Estimation (KDE) to evaluate how detection speed was affected by policy shifts and variant changes. In addition, least squares regression was used to explore the relationship between regional population size and the number of imported cases.

resultsThe findings reveal a significant increase in imported cases during the transition from the Delta to Omicron variants, highlighting the increased transmissibility of Omicron and its impact on imported case numbers. Consequently, testing strategies were improved for faster detection and quarantine adaptability, which was confirmed by the observed reduction in confirmation lag. Regions with major entry points, such as Incheon, had higher imported case ratios. Population size was the strongest predictor, followed by first importation timing. This trend underscores the importance of tailored measures, such as region-based surveillance and country-targeted entry policies, to effectively manage virus importation.

conclusionBy systematically analyzing a large-scale dataset of imported COVID-19 cases, we demonstrate that targeted border measures-accounting for travelers' countries of origin and regional vulnerabilities-are essential for effective containment. Our findings underscore the value of variant-specific strategies, reinforced by real-time surveillance of imported cases, as a critical component of South Korea's public health infrastructure. This approach not only enhances current response capacity but also strengthens preparedness for future cross-border infectious disease threats.

Indexed as

Communicable Diseases, ImportedCOVID-19SARS-CoV-2HumansPublic HealthQuarantineRepublic of KoreaTravelBorder controlConfirmation lagCoronavirus disease 2019 (COVID-19)Entry policiesImported casesSouth KoreaTravel restrictions

Identifiers

PMID40597789
PMCPMC12211406

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LicenceCC BY-NC-ND
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Registered trials

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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.