Evidence map›Paper›PMID 40919020›Full record

ArticleBMJ public health2025

Understanding influenza-like illness dynamics in Jiangsu, China: impacts of COVID-19 control measures and meteorological factors on the population health during 2018-2023.

Yi Yin, Xin Jiang, Shuhan Tang, Qigang Dai, Yuhang Ma, Jianli Hu, Changjun Bao, Yanping Zhang, Zhihang Peng

Abstract read
In one paragraph

Article in BMJ public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Yi Yin *School of Public Health, Nanjing Medical University, Nanjing, China.
Xin Jiang *School of Public Health, Nanjing Medical University, Nanjing, China.
Shuhan Tang *School of Public Health, Nanjing Medical University, Nanjing, China.
Qigang DaiDepartment of Acute Infectious Diseases Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Yuhang MaSchool of Public Health, Nanjing Medical University, Nanjing, China.
Jianli HuDepartment of Acute Infectious Diseases Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Changjun BaoDepartment of Acute Infectious Diseases Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Yanping ZhangDivision of Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China.
Zhihang PengSchool of Public Health, Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0003-4372-2487

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Since the emergence of the COVID-19 pandemic, how meteorological factors and COVID-19 control measures in China impact the transmission dynamics of influenza-like illness (ILI) across age groups remains unclear. Objective: This study aims to explore the changes in the seasonal ILI epidemics and the effects of meteorological factors across age groups in Jiangsu, China, before the COVID-19 pandemic and after the relaxation of COVID-19 control measures. Methods: The time-varying reproduction number ( Results: The Conclusions: The relaxation of the COVID-19 prevention and control measures triggers increases in the population mobility, population contact rates and epidemic transmission. Meteorological factors pose various impacts on ILI dynamics. We recommended designing seasonal health interventions and vaccination plans against ILI based on meteorological changes.

Indexed as

COVID-19EpidemiologyPublic Health

Identifiers

PMID40919020
PMCPMC12410674

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