Evidence map›Paper›PMID 39513651›Full record

ArticleJournal of medical virology2024

Changes in Epidemics of Respiratory Viral Infections Resulted From the COVID-19 Pandemic in Shanghai.

Chuchu Ye, Yao Tian, Dazhu Huo, Ting Zhang, Li Zhang, Bing Zhao, Yifeng Shen, Xinli Jiang, Xuancheng Hu, Haiyang Zhang and 3 more

Abstract read
In one paragraph

Article in Journal of medical virology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
  2. Observational
  3. Article
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  9. Shifts in epidemic patterns and age dynamics of RSV, IFV, and SARS-CoV-2 in Chinese children following COVID-19 non-pharmaceutical intervention relaxation, 2017 - 2024.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Observational
  10. Article
  11. Article
  12. Review
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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

13 authors.

Chuchu YeShanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, People's Republic of China.ORCID 0000-0003-4461-4111
Yao TianState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Science, Beijing, People's Republic of China.
Dazhu HuoSchool of Health Policy and Management, Chinese Academy of Medical Sciences (CAMS) & Peking Union Medical College, Beijing, People's Republic of China.
Ting ZhangSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences (CAMS) & Peking Union Medical College, Beijing, People's Republic of China.
Li ZhangShanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, People's Republic of China.
Bing ZhaoShanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, People's Republic of China.
Yifeng ShenShanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, People's Republic of China.
Xinli JiangSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences (CAMS) & Peking Union Medical College, Beijing, People's Republic of China.
Xuancheng HuSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences (CAMS) & Peking Union Medical College, Beijing, People's Republic of China.
Haiyang ZhangCentral Theater Command Center for Disease Control and Prevention, Beijing, People's Republic of China.
Lipeng HaoShanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, People's Republic of China.
Zhongjie LiSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences (CAMS) & Peking Union Medical College, Beijing, People's Republic of China.
Li-Qun FangState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Science, Beijing, People's Republic of China.ORCID 0000-0002-4981-1483

Funding

This study was supported by Key Disciplines Program of Shanghai Municipal Health Commission; Pudong New Area Health System Discipline Leader Training Program; Pudong New Area Science and Technology Development-Innovation fund; National Key Research and Development Program of China; The CAMS Innovation Fund for Medical Sciences.
6 · The paper itself

Abstract

To investigate the changing patterns of respiratory viral infections within the context of COVID-19 pandemic. The etiological surveillance data of eight respiratory viral pathogens among patients with ARIs in Shanghai between 2013 and 2023 were analyzed to evaluate the dynamic patterns of respiratory viral infections in Shanghai compared to global other regions during pre-pandemic (period 1), pandemic (period 2), and post-pandemic (period 3) periods of COVID-19. In Shanghai and various other global regions, there was a delay of 2‒4 months in the peak positive rate of IFV and a reverse seasonality for RSV, HMPV, and HBoV was observed following the relaxation of NPIs. The proportion of patients infected with any of these eight viruses experiencing fever or high fever notably increased. During the entire study period, IFV was consistently identified as the most prevalent virus, with IFV-B as the predominant stain during period 2, and IFV-A regained its dominance following the lifting of NPIs. The proportion of RSV among children significantly increased during period 2 compared to period 1. With the relaxation of NPIs, there has been a resurgence of certain viral pathogens, accompanied by notable alterations in seasonal patterns and the spectrum of viral pathogens.

Indexed as

COVID-19Respiratory Tract InfectionsSeasonsAdolescentAdultAgedChildChild, PreschoolChinaEpidemicsFemaleHumansInfantMaleMiddle AgedSARS-CoV-2COVID‐19respiratory viral infectionssentinel surveillance

Identifiers

PMID39513651
PMCPMC11600481

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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.