Evidence map›Paper›PMID 40890642›Full record

ArticleBMC infectious diseases2025

Epidemiological characteristics of influenza after COVID-19 pandemic in Zhejiang province, China.

Hui Yang, Qing Gao, Bingdong Zhan, Guoping Cao, Zhao Yu

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 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. Review
  3. Article
  4. Article
  5. 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

5 authors.

Hui Yang *Department of Infectious Disease Control and Prevention, Quzhou Center for Disease Control and Prevention, Quzhou, Zhejiang Province, China.
Qing Gao *School of Public Health, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China.
Bingdong ZhanDepartment of Infectious Disease Control and Prevention, Quzhou Center for Disease Control and Prevention, Quzhou, Zhejiang Province, China.
Guoping CaoDepartment of Infectious Disease Control and Prevention, Quzhou Center for Disease Control and Prevention, Quzhou, Zhejiang Province, China.
Zhao YuDepartment of Infectious Disease Control and Prevention, Zhejiang Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, China. zhy@cdc.zj.cn.

Funding

Science and Technology Programme Project of Zhejiang Provincial Bureau of Disease Control and Prevention 2025JK308
6 · The paper itself

Abstract

backgroundTo analyse the epidemiological characteristics and variation trend of influenza in Zhejiang Province from 2018 to 2023, so as to provide reference for the prevention and control of influenza after COVID-19 pandemic.

methodsThroat swab samples of influenza-like illness (ILI) cases from 16 local sentinel hospitals were collected every week, and real-time reverse transcription-polymerase chain reaction (RT-PCR) was used to detect and identify the specific types of influenza viruses. Descriptive epidemiological method was used to analyse the surveillance data from sentinel hospitals and network laboratories.

resultsThe ILI% were fluctuated between 3.67% and 8.73% from 2018 to 2023 in Zhejiang Province, with a notable increase after COVID-19 pandemic (P < 0.05). The 0–4 years age group had the highest incidence of ILI cases (45.13%), whereas the 5–14 years age group exhibited the highest influenza virus positive rate (26.01%). There were significant differences in temporal distribution and age distribution in ILI% and influenza virus positive rates (P < 0.001). Apart from 2020, the influenza outbreaks in other years displayed a seasonal pattern, with varying predominant strains in different years. During 2020–2022, the correlation between ILI number and the influenza virus positive rate was not statistically significant among 0–4 years age group but it was statistically significant among age groups > 15 years (P < 0.001).

conclusionsThe COVID-19 pandemic has markedly influenced the epidemiological characteristics of influenza. Children under 15 years are the focus group for influenza prevention and control. The current definition of ILI may not be appropriate for influenza surveillance in children under 15 years during the COVID-19 pandemic. Continuous influenza surveillance, pay close attention to the changes of influenza virus strains, actively promote the influenza vaccination of key groups and the combination of COVID-19 surveillance in the influenza sentinel surveillance network will play an important role in realizing accurate influenza prevention and control.

Indexed as

COVID-19Influenza, HumanAdolescentAdultAgedChildChild, PreschoolChinaFemaleHumansIncidenceInfantInfant, NewbornMaleMiddle AgedPandemicsCOVID-19EpidemiologyInfluenza-like illnessInfluenza surveillanceVirology

Identifiers

PMID40890642
PMCPMC12403933

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.