Evidence map›Paper›PMID 41332481›Full record

ArticleJugan geon-gang gwa jilbyeong2025

[The Republic of Korea 2023-2024 Influenza and Respiratory Viruses Laboratory Surveillance Report].

SangHee Woo, Nam-Joo Lee, Jaehee Lee, Jee Eun Rhee, Eun-Jin Kim

Abstract readEnglish Abstract
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. Not yet cited in PubMed.

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

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

5 authors.

SangHee Woo질병관리청 진단분석국 신종병원체분석과.
Nam-Joo Lee질병관리청 진단분석국 신종병원체분석과.
Jaehee Lee질병관리청 진단분석국 신종병원체분석과.
Jee Eun Rhee질병관리청 진단분석국 신종병원체분석과.
Eun-Jin Kim질병관리청 진단분석국 신종병원체분석과.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The study aim was to examine the detection patterns of respiratory virus circulation in the Republic of Korea from week 36 of 2023 to week 35 of 2024, with a focus on characterizing influenza viruses. The purpose of this study was to support the selection of vaccine strains and strengthen public health preparedness. Methods: Respiratory specimens were collected from 18,040 symptomatic individuals using a national sentinel surveillance network. Real-time reverse transcription polymerase chain reaction testing was performed to identify the causative respiratory pathogens. For influenza viruses, further analyses were performed to assess genetic similarity with the vaccine strains, antigenic characteristics, and antiviral resistance. Results: Influenza viruses were detected in 15.1% of specimens, with the following subtype distributions: A(H1N1)pdm09 (41.7%), A(H3N2) (29.3%), and B type (29.1%). The genetic analysis showed that the circulating strains belonged to phylogenetic groups similar to the current vaccine strains. Further, no mutations associated with resistance to antiviral drugs (Oseltamivir, Zanamivir, and Peramivir, Baloxavir) were identified. The antigenic analysis confirmed effective neutralizing activity against the vaccine strains. Among respiratory viruses, severe acute respiratory syndrome coronavirus 2 was the most frequently detected (15.1%), followed by rhinovirus (14.9%), adenovirus (9.9%), parainfluenza virus (5.6%), respiratory syncytial virus (5.0%), human metapneumovirus (4.2%), human coronavirus (3.8%), and bocavirus (3.2%). Conclusions: The continuous surveillance of influenza and respiratory virus trends is essential to inform vaccine strain selection and enhance public health response strategies. Our division will conduct continuous surveillance of the epidemiological trends of respiratory viruses, including influenza, and ensure the timely provision of data for public health interventions.

Indexed as

InfluenzaKorea Respiratory Virus Integrated Surveillance SystemRespiratory virusesSARS-CoV-2

Identifiers

PMID41332481
PMCPMC12272728

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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.