Evidence map›Paper›PMID 37142552›Full record

ArticleEpidemiology and infection2023

Epidemiological characteristics of paediatric Omicron infection during the outbreak of SARS-CoV-2 infection during March-May in 2022 in Shanghai, China.

Hailing Chang, Xuanzhao Zhang, Hualin Su, Jiehao Cai, Xiaohua Liu, Jingjing Li, Yating Wang, Zhaowen Zhang, Minghui Zhu, Lifang Zhao and 8 more

Abstract read
In one paragraph

Article in Epidemiology and infection, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

18 authors.

Hailing ChangDepartment of Infectious Diseases, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China.
Xuanzhao ZhangDepartment of Infectious Diseases Control and Prevention, Minhang District Center for Disease Control and Prevention, Shanghai, China.
Hualin SuDepartment of Infectious Diseases Control and Prevention, Minhang District Center for Disease Control and Prevention, Shanghai, China.
Jiehao CaiDepartment of Infectious Diseases, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China.
Xiaohua LiuDepartment of Infectious Diseases Control and Prevention, Minhang District Center for Disease Control and Prevention, Shanghai, China.
Jingjing LiDepartment of Infectious Diseases, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China.
Yating WangDepartment of Epidemiology, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai, China.
Zhaowen ZhangDepartment of Infectious Diseases Control and Prevention, Minhang District Center for Disease Control and Prevention, Shanghai, China.
Minghui ZhuDepartment of Infectious Diseases Control and Prevention, Minhang District Center for Disease Control and Prevention, Shanghai, China.
Lifang ZhaoDepartment of Infectious Diseases Control and Prevention, Minhang District Center for Disease Control and Prevention, Shanghai, China.
Sijia ZhangDepartment of Infectious Diseases Control and Prevention, Minhang District Center for Disease Control and Prevention, Shanghai, China.
Kewen MeiDepartment of Planned Immunization, Minhang District Center for Disease Control and Prevention, Shanghai, China.
Liping ZhangDepartment of Planned Immunization, Minhang District Center for Disease Control and Prevention, Shanghai, China.
Xiaoguang WangDepartment of Laboratory Testing, Minhang District Center for Disease Control and Prevention, Shanghai, China.
Hongjin YanDepartment of Laboratory Testing, Minhang District Center for Disease Control and Prevention, Shanghai, China.
Lingfei LuoDepartment of Laboratory Testing, Minhang District Center for Disease Control and Prevention, Shanghai, China.
Zhiyin XuDepartment of Infectious Diseases Control and Prevention, Minhang District Center for Disease Control and Prevention, Shanghai, China.
Mei ZengDepartment of Infectious Diseases, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China.ORCID 0000-0002-3491-5298

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to understand the epidemiological characteristics of SARS-CoV-2 infection in the paediatric population during the outbreak of the Omicron variant in Shanghai. We retrospectively analysed the population-based epidemiological characteristics and clinical outcome of SARS-CoV-2 Omicron variant infection in children in Minhang District, Shanghai, based on the citywide surveillance system during the outbreak period in 2022 (March to May). During this time, a total of 63,969 cases of SARS-CoV-2 infection were notified in Minhang District, out of which 4,652 (7.3%) were children and adolescents <18 years. The incidence rate of SARS-CoV-2 infections in children was 153 per 10,000. Of all paediatric cases, 50% reported to be clinically symptomatic within 1-3 days after PCR confirmation by parents or themselves, with 36.3% and 18.9% of paediatric cases reporting fever and cough. Also, 58.4% of paediatric cases had received at least one dose of the COVID-19 vaccine and 52.1% had received two doses of the COVID-19 vaccination. Our findings are informative for the implementation of appropriate measures to protect children from the threat of SARS-CoV-2 infection.

Indexed as

COVID-19AdolescentChildChild, PreschoolChinaCOVID-19 VaccinesDisease OutbreaksFemaleHumansInfantInfant, NewbornMaleRetrospective StudiesSARS-CoV-2COVID-19 VaccinesChildrenepidemiological characteristicsomicron variantSARS-CoV-2Shanghai

Identifiers

PMID37142552
PMCPMC10212599

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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.