Evidence map›Paper›PMID 42094075›Full record

ArticleTransboundary and emerging diseases2026

Epidemiological Trends of COVID-19 Infection and Symptom Incidence in China Following the Adjustment of Zero-COVID Policy: A Prospective, Community-Based Cohort Study.

Zhigao Chen, Zhen Zhang, Yeen Huang, Zhanwei Du, Ruohan Chen, Nixuan Chen, Tingting Liu, Yanpeng Cheng, Honglin Wang, Huawei Xiong and 11 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Transboundary and emerging diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

21 authors.

Zhigao ChenShenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China, szcdc.net.
Zhen ZhangShenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China, szcdc.net.
Yeen HuangSchool of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, Guangdong, China, sustc.edu.cn.
Zhanwei DuWHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Pokfulam, China, hku.hk.
Ruohan ChenWHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Pokfulam, China, hku.hk.ORCID https://orcid.org/0009-0008-3739-8098
Nixuan ChenShenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China, szcdc.net.
Tingting LiuShenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China, szcdc.net.
Yanpeng ChengShenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China, szcdc.net.
Honglin WangShenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China, szcdc.net.
Huawei XiongShenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China, szcdc.net.
Lixia SongShenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China, szcdc.net.
Yanfen YeShenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China, szcdc.net.
Yan LuShenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China, szcdc.net.
Ziquan LvShenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China, szcdc.net.
Tingting CaoShenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China, szcdc.net.
Yingying LiShenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China, szcdc.net.
Bin ZhuSchool of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, Guangdong, China, sustc.edu.cn.ORCID https://orcid.org/0000-0002-0091-6356
Xuan ZouShenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China, szcdc.net.ORCID https://orcid.org/0009-0001-7345-9467
Jianhua LuShenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China, szcdc.net.ORCID https://orcid.org/0009-0000-0955-9773
Shenying FangSchool of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, Guangdong, China, sustc.edu.cn.ORCID https://orcid.org/0000-0002-0604-793X
Benjamin J CowlingWHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Pokfulam, China, hku.hk.ORCID https://orcid.org/0000-0002-6297-7154

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study tracked the postadjustment infection rates and symptom trends within community settings. Conducted from May 2023 to May 2024 across four districts in Shenzhen, involving 3246 participants, over 80% had received at least one vaccine dose. Postpolicy adjustment witnessed three significant infection surges. Among the cohort, 63.7% reported only one Coronavirus disease 2019 (COVID-19) infection, 30.3% two infections, and 1.7% three infections, with 4.3% remaining uninfected throughout the follow-up. Older adults and those with lower IgG levels had increased reinfection risk. Notably, 3.8% (95% CI: 3.1-4.6) reported long COVID, with higher susceptibility in those with underlying conditions (adjusted odds ratio [AOR] = 3.73, 95% CI: 2.20-6.34) and reduced incidence among fully vaccinated individuals (AOR = 0.57, 95% CI: 0.36-0.90). The policy change led to widespread exposure, shifting from first infections to reinfections. These insights underscore the need for ongoing research to inform future pandemic responses.

Indexed as

COVID-19AdultAgedChinaCOVID-19 VaccinesFemaleHumansIncidenceMaleMiddle AgedProspective StudiesSARS-CoV-2Young AdultCOVID-19 VaccinesChinacohort studyCOVID-19epidemiologySARS-CoV-2

Identifiers

PMID42094075
PMCPMC13140162

What Socratic holds

Textmetadata
LicenceCC BY
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.