Evidence map›Paper›PMID 39741357›Full record

ArticleVirology journal2024

Molecular epidemiological analysis of Influenza viruses in Influenza-like illness cases: a retrospective study in Chongqing Hi-Tech Zone, China (2021-2024).

Wei Cai, Yuhang Deng, Pan Xu, Jianjiang Xue

Abstract read
In one paragraph

Article in Virology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

4 authors.

Wei Cai *Department of Laboratory Medicine, University Town Hospital of Chongqing Medical University, No. 55, Middle Road University, Chongqing, 410331, China.
Yuhang DengDepartment of Laboratory Medicine, University Town Hospital of Chongqing Medical University, No. 55, Middle Road University, Chongqing, 410331, China.
Pan XuDepartment of Laboratory Medicine, University Town Hospital of Chongqing Medical University, No. 55, Middle Road University, Chongqing, 410331, China.
Jianjiang XueDepartment of Laboratory Medicine, University Town Hospital of Chongqing Medical University, No. 55, Middle Road University, Chongqing, 410331, China. 529033882@qq.com.

Funding

Chongqing Municipal Education Commission KJQN202000443the China Postdoctoral Science Foundation 2023MD734129
6 · The paper itself

Abstract

objectivesTo analyze the molecular epidemiological characteristics of influenza viruses in influenza-like cases in Chongqing Hi-Tech Zone, China, to provide data support and a scientific basis for optimizing influenza prevention and control strategies in the region. MATERIALS AND

methodsA retrospective analysis was conducted on the molecular epidemiological characteristics of influenza viruses in influenza-like cases at a hospital in Chongqing Hi-Tech Zone from 2021 to 2024. Colloidal gold detection of viral antibodies, fluorescent PCR detection of nucleic acids, and gene sequencing were used to identify the different subtypes.

resultsAmong 39,986 ILI specimens tested using the immunocolloid gold method, 6,616 influenza viruses were detected, with a detection rate of 16.54%. Infections included 4,464 influenza A viruses (67.50%), 2,033 influenza B viruses (30.73%), and 119 co-infections of influenza A and B viruses (1.77%).In this region, H3N2 was the predominant subtype of influenza A, and Victoria was the main subtype of influenza B.

conclusionInfluenza epidemics in the winter and spring seasons in Chongqing Hi-Tech Zone were predominantly caused by influenza A, with influenza B also circulating. Influenza A strains were mainly H3N2, while influenza B strains were primarily Victoria.

Indexed as

Influenza A virusInfluenza B virusInfluenza, HumanChinaCoinfectionHumansInfluenza A Virus, H3N2 SubtypeMolecular EpidemiologyOrthomyxoviridaeRetrospective StudiesSeasonsInfluenza-like illness casesInfluenza virusesMolecular epidemiological analysisPrevention and control

Identifiers

PMID39741357
PMCPMC11687026

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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.