Evidence map›Paper›PMID 40260169›Full record

ArticleFrontiers in public health2025

Molecular epidemiological characterization of human bocavirus (HBoV) in acute respiratory infection (ARI) patients in Yucheng, China.

Qi Wen, Ronghua Yang, Qin Luo, Qiangqiang Shi, Ze Chen, Chen Gao, Haijun Du, Guoyong Mei, Shuying Li, QinQin Song and 1 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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  4. Review
  5. 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

11 authors.

Qi WenNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Ronghua YangYucheng Center for Disease Control and Prevention, Shangqiu, China.
Qin LuoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Qiangqiang ShiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Ze ChenNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Chen GaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Haijun DuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Guoyong MeiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Shuying LiHebei Key Laboratory for Chronic Disease, College of Basic Medicine, North China University of Science and Technology, Tangshan, China.
QinQin SongNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Jun HanNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the epidemiological characteristics and genetic profile of human bocavirus (HBoV) among patients with acute respiratory infection (ARI) in Yucheng, Henan, China. Methods: A total of 1,153 throat swabs were collected from ARI patients between March and June 2023. These samples were tested for 18 pathogens using quantitative chain reaction (qPCR). The VP1 gene were amplified and sequenced from HBoV-positive samples. The viral genetic characterization was analyzed by comparing the HBoV1 sequences with reference sequences. Results: Of the 1,153 samples, the detection rate of HBoV positive was 6.85%, primarily detected in May 2023. The majority of HBoV positive cases were found in children under 5 years old. Clinical manifestations in HBoV-positive patients predominantly were fever and cough, with a clinical diagnosis of lower respiratory tract infection. Other viruses were also detected in 20% of HBoV-positive samples. All HBoV sequences identified in this study belonged to HBoV1, with the Ib sublineage being the predominant strain circulating in Yucheng during March-June 2023. Conclusion: After the implementation of the optimized COVID-19 prevention and control strategy in December 2022, HBoV infection was prevalent in Yucheng, Henan in May-June 2023, mainly among children younger than 5 years old, especially those under 2 years old. The Ib sublineage of HBoV was the dominant circulating strain in Yucheng, Henan during March-June 2023.

Indexed as

Human bocavirusParvoviridae InfectionsRespiratory Tract InfectionsAcute DiseaseAdolescentAdultAgedChildChild, PreschoolChinaFemaleHumansInfantMaleMiddle AgedMolecular Epidemiologyacute respiratory infectionamino acid mutationclinical characteristicsepidemiologygenetic characteristicshuman bocavirus

Identifiers

PMID40260169
PMCPMC12009866

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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.