Evidence map›Paper›PMID 39844061›Full record

ArticleBMC infectious diseases2025

Impact of COVID-19 pandemic measures on hospitalizations and epidemiological patterns of twelve respiratory pathogens in children with acute respiratory infections in southern China.

Wei Wang, Xiaojuan Luo, Zhenmin Ren, Xiaoying Fu, Yunsheng Chen, WenJian Wang, Yanmin Bao, Yuejie Zheng, Ke Cao, Jiehua Chen

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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  8. Clinical characteristics ofTranslational pediatrics · 2025
    Article
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  12. Review
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  18. Positive rates ofFrontiers in microbiology · 2025
    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

10 authors.

Wei Wang *Department of Respiratory, Shenzhen Children's Hospital, Shenzhen, 518038, China.
Xiaojuan Luo *Department of Clinical Laboratory, Shenzhen Children's Hospital, Shenzhen, 518038, China.
Zhenmin RenDepartment of Clinical Laboratory, Shenzhen Children's Hospital, Shenzhen, 518038, China.
Xiaoying FuDepartment of Clinical Laboratory, Shenzhen Children's Hospital, Shenzhen, 518038, China.
Yunsheng ChenDepartment of Clinical Laboratory, Shenzhen Children's Hospital, Shenzhen, 518038, China.
WenJian WangDepartment of Respiratory, Shenzhen Children's Hospital, Shenzhen, 518038, China.
Yanmin BaoDepartment of Respiratory, Shenzhen Children's Hospital, Shenzhen, 518038, China.
Yuejie ZhengDepartment of Respiratory, Shenzhen Children's Hospital, Shenzhen, 518038, China.
Ke CaoDepartment of Clinical Laboratory, Shenzhen Children's Hospital, Shenzhen, 518038, China. cocoa526878@126.com.
Jiehua ChenDepartment of Respiratory, Shenzhen Children's Hospital, Shenzhen, 518038, China. loof11@163.com.

Funding

Basic Research General Project of Shenzhen Science and Technology Innovation Committee JCYJ20230807093820041Shenzhen Fund for Guangdong Provincial High-Level Clinical Key Specialties SZGSP012Shenzhen Key Medical Discipline Construction Fund SZXK032
6 · The paper itself

Abstract

objectivesTo investigate the impact of COVID-19 pandemic measures on hospitalizations and the alterations and persistence of the epidemiological patterns of 12 common respiratory pathogens in children during the COVID-19 pandemic and after the cessation of the "zero-COVID-19" policy in southern China.

methodsRespiratory specimens were collected from hospitalized children with acute respiratory infections at Shenzhen Children's Hospital from January 2020 to June 2024. Twelve common respiratory pathogens were detected using multiplex PCR. Data on demographic characteristics, pathogen detection rates, epidemiological patterns, co-infections, and ICU admission rates were compared between the 'during COVID-19' period (Phase 1: January 2020 to December 2022) and the 'post COVID-19' period (Phase 2: January 2023 to June 2024).

resultsIn Phase 2, there was a significant increase in average annual cases, with a higher median age of affected children, higher pathogen detection rates, and increased co-infection rates compared to Phase 1. The epidemiological patterns of most pathogens were altered by the COVID-19 pandemic. Human Parainfluenza Virus, Human Metapneumovirus, Human Bocavirus (HBOV), and Human Coronavirus remained active during Phase 1, while Mycoplasma pneumoniae (Mp) and Adenovirus (ADV) were low, and Respiratory Syncytial Virus (RSV) lacked a seasonal peak in 2022. In Phase 2, Mp, ADV, and RSV experienced outbreaks, with Mp's high prevalence continuing into 2024. RSV showed out-of-season epidemics for two consecutive years. Influenza A (H1N1), Influenza A (H3N2), and InfB lost their seasonal patterns during Phase 1 but reemerged and regained their seasonal characteristics in 2023-2024. ICU admission rates did not significantly differ between the two phases, except for HBOV, which had higher rates in Phase 2.

conclusionThe epidemiological patterns of various respiratory pathogens were affected by the COVID-19 pandemic to varying degrees. Pathogens suppressed during the pandemic experienced outbreaks or out-of-season epidemics after the lifting of non-pharmaceutical interventions, with Mp and RSV continuing into the second year and HBOV associated ICU admission rates increasing in the post-pandemic era. Continuous monitoring of these patterns is essential to understand the duration of these effects and to inform effective response strategies.

Indexed as

COVID-19HospitalizationRespiratory Tract InfectionsAdolescentChildChild, PreschoolChinaCoinfectionFemaleHumansInfantInfant, NewbornMaleSARS-CoV-2Acute respiratory infectionChildrenCOVID-19EpidemiologyNon-pharmaceutical interventionsPathogens

Identifiers

PMID39844061
PMCPMC11756097

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.