Evidence map›Paper›PMID 33585828›Full record

ArticleThe Lancet regional health. Western Pacific2021

Antibody seroprevalence in the epicenter Wuhan, Hubei, and six selected provinces after containment of the first epidemic wave of COVID-19 in China.

Zhongjie Li, Xuhua Guan, Naiying Mao, Huiming Luo, Ying Qin, Na He, Zhen Zhu, Jianxing Yu, Yu Li, Jianhua Liu and 23 more

Open access · goldAbstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 pooled it
3.4field-weighted citation impact, top 6% 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

33 citing papers in PubMed, 3 syntheses or guidelines pooled it, 56 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

33 authors at 15 institutions in 1 country.

Zhongjie LiChinese Center for Disease Control and Prevention (China CDC), Beijing, China.
Xuhua GuanHubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei, China.
Naiying MaoNational Institute for Viral Disease Control and Prevention (China CDC), Beijing, China.
Huiming LuoChinese Center for Disease Control and Prevention (China CDC), Beijing, China.
Ying QinChinese Center for Disease Control and Prevention (China CDC), Beijing, China.
Na HeFudan University, Shanghai, China.
Zhen ZhuNational Institute for Viral Disease Control and Prevention (China CDC), Beijing, China.
Jianxing YuNational Institute for Communicable Disease Control and Prevention (China CDC), Beijing, China.
Yu LiChinese Center for Disease Control and Prevention (China CDC), Beijing, China.
Jianhua LiuGuangzhou Municipal Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
Zhijie AnNational Immunization Programme (China CDC), Beijing, China.
Wenjing GaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Xiaoli WangBeijing Center for Disease Control and Prevention, Beijing, China.
Xiaodong SunShanghai Center for Disease Control and Prevention, Shanghai, China.
Tie SongGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
Xingfen YangSchool of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Ming WuJiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China.
Xianping WuSichuan Provincial Center for Disease Control and Prevention, Chengdu, Sichuan, China.
Wenqing YaoLiaoning Provincial Center for Disease Control and Prevention, Shenyang, Liaoning, China.
Zhibin PengChinese Center for Disease Control and Prevention (China CDC), Beijing, China.
Junling SunChinese Center for Disease Control and Prevention (China CDC), Beijing, China.
Liping WangChinese Center for Disease Control and Prevention (China CDC), Beijing, China.
Qing GuoChinese Center for Disease Control and Prevention (China CDC), Beijing, China.
Nijuan XiangChinese Center for Disease Control and Prevention (China CDC), Beijing, China.
Jun LiuChinese Center for Disease Control and Prevention (China CDC), Beijing, China.
Bike ZhangChinese Center for Disease Control and Prevention (China CDC), Beijing, China.
Xuemei SuChinese Center for Disease Control and Prevention (China CDC), Beijing, China.
Lance RodewaldChinese Center for Disease Control and Prevention (China CDC), Beijing, China.
Liming LiPeking University Center for Public Health and Epidemic Preparedness & Response.
Wenbo XuNational Institute for Viral Disease Control and Prevention (China CDC), Beijing, China.
Hongbing ShenDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Zijian FengChinese Center for Disease Control and Prevention (China CDC), Beijing, China.
George F GaoChinese Center for Disease Control and Prevention (China CDC), Beijing, China.
Chinese Center For Disease Control and Prevention · CNBeijing Center for Disease Prevention and Control · CNNational Institute for Viral Disease Control and Prevention · CNPeking University · CNFudan University · CNGuangdong Provincial Center for Disease Control and Prevention · CNGuangzhou Center for Disease Control and Prevention · CNHubei Provincial Center for Disease Control and Prevention · CNJiangsu Provincial Center for Disease Control and Prevention · CNNanjing Medical University · CNNational Center for AIDS/STD Control and Prevention,China CDC · CNShanghai Municipal Center For Disease Control Prevention · CNShenyang Center for Disease Control and Prevention · CNSichuan Center for Disease Control and Prevention · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChina implemented containment measures to stop SARS-CoV-2 transmission in response to the COVID-19 epidemic. After the first epidemic wave, we conducted population-based serological surveys to determine extent of infection, risk factors for infection, and neutralization antibody levels to assess the real infections in the random sampled population.

methodsWe used a multistage, stratified cluster random sampling strategy to conduct serological surveys in three areas - Wuhan, Hubei Province outside Wuhan, and six provinces selected on COVID-19 incidence and containment strategy. Participants were consenting individuals >1 year old who resided in the survey area >14 days during the epidemic. Provinces screened sera for SARS-CoV-2-specific IgM, IgG, and total antibody by two lateral flow immunoassays and one magnetic chemiluminescence enzyme immunoassay; positive samples were verified by micro-neutralization assay.

findingsWe enrolled 34,857 participants (overall response rate, 92%); 427 were positive by micro-neutralization assay. Wuhan had the highest weighted seroprevalence (4•43%, 95% confidence interval [95%CI]=3•48%-5•62%), followed by Hubei-ex-Wuhan (0•44%, 95%CI=0•26%-0•76%), and the other provinces (<0•1%). Living in Wuhan (adjusted odds ratio aOR=13•70, 95%CI= 7•91-23•75), contact with COVID-19 patients (aOR=7•35, 95%CI=5•05-10•69), and age over 40 (aOR=1•36, 95%CI=1•07-1•72) were significantly associated with SARS-CoV-2 infection. Among seropositives, 101 (24%) reported symptoms and had higher geometric mean neutralizing antibody titers than among the 326 (76%) without symptoms (30±2•4 vs 15±2•1,

interpretationThe low overall extent of infection and steep gradient of seropositivity from Wuhan to the outer provinces provide evidence supporting the success of containment of the first wave of COVID-19 in China. SARS-CoV-2 infection was largely asymptomatic, emphasizing the importance of active case finding and physical distancing. Virtually the entire population of China remains susceptible to SARS-CoV-2; vaccination will be needed for long-term protection.

fundingThis study was supported by the Ministry of Science and Technology (2020YFC0846900) and the National Natural Science Foundation of China (82041026, 82041027, 82041028, 82041029, 82041030, 82041032, 82041033).

Identifiers

PMID33585828
PMCPMC7864613
OpenAlexW3126361906

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.