Evidence map›Paper›PMID 38066518›Full record

Observational studyBMC public health2023

Epidemiological features of SARS-CoV-2 Omicron infection under new control strategy: a cross-sectional study of the outbreak since December 2022 in Sichuan, China.

Runyou Liu, Yang Zhang, Jingxuan Ma, Hongjian Wang, Yajia Lan, Xuefeng Tang

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.9field-weighted citation impact, top 8% of its field
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

12 citing papers in PubMed, 15 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Runyou LiuWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, P.R. China.
Yang ZhangDepartment of Periodical Press and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, P.R. China.
Jingxuan MaWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, P.R. China.
Hongjian WangWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, P.R. China.
Yajia Lan *West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, P.R. China. lanyajia@sina.com.
Xuefeng Tang *Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan, 610041, P.R. China. sccdctxf@163.com.
Sichuan University · CNSichuan Center for Disease Control and Prevention · CN

Funding

National Science and Technology Major Project of China 2018ZX10713001-011Provincial Science and Technology Project of Sichuan 2023JDR0256
6 · The paper itself

Abstract

backgroundA major shift in the "dynamic zero-COVID" policy was announced by China's National Health Commission on December 7, 2022, and the subsequent immediate large-scale outbreak of SARS-CoV-2 infections in the entire country has caused worldwide concern. This observational cross-sectional study aimed to describe the epidemiological characteristics of this outbreak in Sichuan, China.

methodsAll data were self-reported online by volunteers. We described the epidemic by characterizing the infection, symptoms, clinical duration, severity, spatiotemporal clustering, and dynamic features of the disease. Prevalence ratio (PR), Odds ratios (ORs) and adjusted ORs were calculated to analyze the associations between risk factors and infection and the associations of risk factors with clinical severity using log-binomial and multivariable logistic regression models; 95% confidence intervals (CIs) and Wald test results were reported. The prevalence rates and clinical severity among different subgroups were compared using the Chi-square and trend Chi-square tests.

resultsBetween January 6 and 12, 2023, 138,073 volunteers were enrolled in this survey, and 102,645 were infected with COVID-19, holding a prevalence rate of 74.34%; the proportion of asymptomatic infections was 1.58%. Log-binomial regression revealed that the risk of infection increased among those living in urban areas. Multivariable logistic regression analysis showed that female sex, chronic diseases, older age and the fewer doses of vaccine received were associated with an increased risk of severe clinical outcomes after infection. We estimated the mean reproduction number during this pandemic was 1.83. The highest time-dependent reproduction number was 4.15; this number decreased below 1 after 11 days from December 7, 2022. Temporal trends revealed a single peak curve with a plateau pattern of incidence during the outbreak, whereas spatiotemporal clustering analysis showed that the onset in 21 cities in the Sichuan province had four-wave peaks.

conclusionsThe peak of the first wave of Omicron infection in Sichuan Province had passed and could be considered a snapshot of China under the new control strategy. There were significant increases in the risk of severe clinical outcomes after infection among females, with chronic diseases, and the elderly. The vaccines have been effective in reducing poor clinical outcomes.

Indexed as

COVID-19AgedChinaChronic DiseaseCross-Sectional StudiesDisease OutbreaksFemaleHumansMaleSARS-CoV-2Surveys and QuestionnairesCOVID-19Epidemiological featuresOmicronOutbreakSARS-CoV-2

Identifiers

PMID38066518
PMCPMC10709916
OpenAlexW4389490649

What OpenQuestion 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 OpenQuestion graph.