Evidence map›Paper›PMID 41334104›Full record

ArticleJugan geon-gang gwa jilbyeong2025

[Pathogen Surveillance in Wastewater from Airport and Port in the Chungcheong Region, Republic of Korea, in 2024].

Youngsil Yoon, Soyeon Kim, Dong Geun Lee, Bo-Ram Kim, Jun Ho Jeon

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In one paragraph

Article in Jugan geon-gang gwa jilbyeong, 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

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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to analyze the correlation between pathogen detection through wastewater-based infectious disease surveillance at airports and ports in the Chungcheong region and the incidence of corresponding infectious diseases in the local population. Methods: Between March and December 2024, 192 wastewater samples were collected from Gunsan Port, Pyeongtaek-Dangjin Port, and Cheongju International Airport. Eight infectious disease pathogens were analyzed using TaqMan Array Card-based multiplex detection. Next-generation sequencing was also conducted on selected samples positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to identify the Omicron sublineages. Results: Of the 192 samples, SARS-CoV-2 was detected in 101 (52.6%) and influenza virus in 38 (19.8%). The detection rates were higher at airports (SARS-CoV-2: 72.6%, influenza: 22.6%) than at ports (SARS-CoV-2: 37.0%, influenza: 17.6%). When comparing the monthly detection rates of SARS-CoV-2 and influenza with regional case counts, the SARS-CoV-2 detection rates increased in August and declined in September, showing a similar pattern to the trend in reported cases. In contrast, the influenza virus detection rates in wastewater increased in November, approximately one month earlier than the increase in reported influenza cases observed in December. Sequencing analysis of the SARS-CoV-2 samples identified variants KP.3, JN.1, and XEC, consistent with those reported in domestic patients. Conclusions: Wastewater-based surveillance at airports and ports can serve as an effective supplementary tool to symptom-based quarantine systems, enabling the earlier detection and prevention of the domestic spread of imported infectious diseases.

Indexed as

AirportsInfluenza virusesSARS-CoV-2Wastewater

Identifiers

PMID41334104
PMCPMC12668285

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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.