Evidence map›Paper›PMID 41526273›Full record

ArticleJournal of epidemiology2026

Resurgence of Influenza Following the Lifting of Non-pharmaceutical Interventions in Shenzhen, China.

Zhenhu Chen, Xiujuan Tang, Hui Liu, Weihua Wu, Ying Sun, Min Jiang, Xin Wang, Xuan Zou, Li Li, Jinjun Ran and 4 more

Abstract read
In one paragraph

Article in Journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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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

14 authors.

Zhenhu ChenDepartment of Pulmonary and Critical Care Medicine, Zhujiang Hospital, Southern Medical University.ORCID 0009-0007-8114-1380
Xiujuan TangInstitute of Pathogenic Organisms, Shenzhen Center for Disease Control and Prevention.
Hui LiuInstitute of Pathogenic Organisms, Shenzhen Center for Disease Control and Prevention.
Weihua WuInstitute of Pathogenic Organisms, Shenzhen Center for Disease Control and Prevention.
Ying SunInstitute of Pathogenic Organisms, Shenzhen Center for Disease Control and Prevention.
Min JiangInstitute of Pathogenic Organisms, Shenzhen Center for Disease Control and Prevention.
Xin WangInstitute of Pathogenic Organisms, Shenzhen Center for Disease Control and Prevention.
Xuan ZouInstitute of Pathogenic Organisms, Shenzhen Center for Disease Control and Prevention.
Li LiDepartment of Biostatistics, School of Public Health, Southern Medical University.
Jinjun RanSchool of Public Health, Shanghai Jiao Tong University School of Medicine.
Shengzhi SunDepartment of Epidemiology and Biostatistics, School of Public Health, Capital Medical University.
Shi ZhaoSchool of Public Health, Tianjin Medical University.ORCID 0000-0001-8722-6149
Shisong FangInstitute of Pathogenic Organisms, Shenzhen Center for Disease Control and Prevention.
Peihua CaoDepartment of Pulmonary and Critical Care Medicine, Zhujiang Hospital, Southern Medical University.ORCID 0000-0003-4269-3899

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the coronavirus disease 2019 (COVID-19) pandemic, global influenza activity sharply declined due to extensive non-pharmaceutical interventions (NPIs). Understanding how influenza activity rebounded after these interventions were lifted is critical for informing future respiratory virus control strategies.

methodsWe conducted a descriptive analysis of the temporal characteristics of weekly number of influenza-like illness (ILI) cases, ILI%, influenza-positive cases, and influenza-positive rates. Poisson log-link regression models, incorporating meteorological factors using data from 2013 to 2019, were established to predict the weekly influenza-positive rate under a counterfactual scenario without COVID-19 interventions in 2022-2023.

resultsOur findings indicate that the cancellation of COVID-19-related NPIs had a notable impact on increasing influenza transmission. Children under 5 years old exhibited the highest ILI cases. The influenza positivity rate surged to 34.35% during the pandemic relaxation, surpassing pre-pandemic (24.53%) and pandemic (9.56%) rates. During the pre-COVID-19 period, various influenza virus subtypes were co-circulated, with the predominant subtype varying. However, during the COVID-19 pandemic period, the dominant strains were influenza A/H1N1 and influenza B/Victoria lineage, while influenza A/H3N2 predominated in the pandemic relaxation period.

conclusionThe marked resurgence of influenza activity in Shenzhen following the lifting of COVID-19-related NPIs underscores the need for sustained surveillance and preparedness for concurrent or sequential respiratory virus outbreaks.

Indexed as

COVID-19Influenza, HumanChild, PreschoolChinaHumansPandemicsCOVID-19influenzanon-pharmacological interventions (NPIs)resurgence

Identifiers

PMID41526273
PMCPMC13265338

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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.