Evidence map›Paper›PMID 39438800›Full record

ArticleBMC infectious diseases2024

Epidemiological characteristics of influenza outbreaks in schools in Jiangsu Province, China, 2020-2023 post-COVID-19 pandemic.

Jia-Le Peng, Ke Xu, Ye Tong, Shi-Zhi Wang, Hao-Di Huang, Chang-Jun Bao, Qi-Gang Dai

Abstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Jia-Le PengSuqian Center for Disease Control and Prevention, Suqian, 223800, China.
Ke XuJiangsu Provincial Center for Disease Control and Prevention, Jiangsu, 210009, China.
Ye TongJiangsu Provincial Center for Disease Control and Prevention, Jiangsu, 210009, China.
Shi-Zhi WangSchool of Public Health, Southeast University, Nanjing, 210000, China.
Hao-Di HuangJiangsu Provincial Center for Disease Control and Prevention, Jiangsu, 210009, China.
Chang-Jun BaoJiangsu Provincial Center for Disease Control and Prevention, Jiangsu, 210009, China.
Qi-Gang DaiJiangsu Provincial Center for Disease Control and Prevention, Jiangsu, 210009, China. daiqigang@126.com.

Funding

National Key R&D Program of China 2023YFC260510102Scientific Research Project of Jiangsu Provincial Health Commission M2020026Scientific Research Project of Jiangsu Provincial Health Commission ZD2021037
6 · The paper itself

Abstract

backgroundThis study aimed to analyze the epidemic characteristics and influencing factors of school influenza outbreaks in Jiangsu Province, China from 2020 to 2023,following the COVID-19 pandemic, to inform prevention and control strategies.

methodsData on influenza-like illness(ILI) outbreaks from the Chinese Influenza Surveillance Information System and national-level influenza surveillance sentinel hospitals were analyzed. The temporal distribution, school type, virus strains, and outbreak scales were examined using descriptive statistics.

resultsFrom 2020 to 2023, 1142 influenza outbreaks occurred in schools, with primary schools(ages 6 to 12) accounting for 71.80%. Most large outbreaks were caused by A(H1N1) and A(H3N2), responsible for 8.99% of total outbreaks. Outbreaks were predominantly reported in the pre-peak periods of B(Victoria) and A(H1N1) circulation, accounting for 86.31% and 92.32% of their respective total outbreaks. No concurrent influenza and COVID-19 outbreaks were observed during the study period.

conclusionPrimary and secondary schools are high-risk settings for influenza outbreaks. A(H3N2) shows higher adaptability and is more likely to co-circulate with other subtypes/lineages, especially A(H1N1), leading to larger outbreaks. B(Victoria)-caused outbreaks are more frequent but smaller in scale. School influenza outbreaks are more likely to occur during the early stages of seasonal peaks, particularly for B(Victoria) and A(H1N1). This suggests that influenza outbreaks in schools may play a crucial role in seeding and accelerating the spread of the virus within the broader community.

Indexed as

COVID-19Disease OutbreaksInfluenza A Virus, H1N1 SubtypeInfluenza A Virus, H3N2 SubtypeInfluenza, HumanSchoolsAdolescentChildChinaFemaleHumansMalePandemicsSARS-CoV-2Sentinel SurveillanceEpidemic characteristicsInfluenza-like casesOutbreakSchools

Identifiers

PMID39438800
PMCPMC11495115

What Socratic 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 Socratic graph.