Evidence map›Paper›PMID 32353347›Full record

ArticleThe Lancet. Infectious diseases2020

Epidemiology and transmission of COVID-19 in 391 cases and 1286 of their close contacts in Shenzhen, China: a retrospective cohort study.

Qifang Bi, Yongsheng Wu, Shujiang Mei, Chenfei Ye, Xuan Zou, Zhen Zhang, Xiaojian Liu, Lan Wei, Shaun A Truelove, Tong Zhang and 12 more

Erratum issued 3 registry-linked trialsOpen access · bronzeAbstract read
In one paragraph

Article in The Lancet. Infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to 3 registered trials, which are not on this map. Cited by 1,020 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,020citing papers in PubMed, 10 pooled it
65.1field-weighted citation impact, top 1% 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.

NCT04531319 completednot on this map

Evaluation of Immune Cell Subgroups in Covid 19 Patients

TypeobservationalSponsorIstanbul Training and Research HospitalRan2020 to 2020Enrolled50ConditionsCovid19ArmsFlow cytometric analysis
NCT04581148 unknown statusnot on this map

Determination of SARS-CoV2 Antibody Prevalence in Pediatric Patients

TypeobservationalSponsorUniversity of Erlangen-Nürnberg Medical SchoolRan2020 to 2022Enrolled7,000ConditionsSARS-Cov2ArmsBlood test antibodies against SARS-CoV-2
NCT04581889 completednot on this map

Prospective, Seroepidemiological, Non-invasive Cohort Study in Tübingen Children Age-stratified by Nursery and School Attendance

TypeobservationalSponsorUniversity Hospital TuebingenRan2020 to 2022Enrolled2,380ConditionsSevere Acute Respiratory SyndromeArmsDiagnostic test
3 · Its place in the literature

Who cites it

1,020 citing papers in PubMed, 10 syntheses or guidelines pooled it, 2,001 citations in OpenAlex.

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  5. The role of children in transmission of SARS-CoV-2 variants of concern within households: an updated systematic review and meta-analysis, as at 30 June 2022.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023
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  8. The role of children in household transmission of COVID-19: a systematic review and meta-analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
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960 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 5 institutions in 2 countries.

Qifang BiDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Yongsheng WuDepartment of Public Health Information, Shenzhen, China.
Shujiang MeiDepartment of Communicable Diseases Control and Prevention, Shenzhen, China.
Chenfei YeSchool of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen, China; Artificial Intelligence Research Center, Peng Cheng Laboratory, Shenzhen, China.
Xuan ZouShenzhen Center for Disease Control and Prevention, Shenzhen, China.
Zhen ZhangDepartment of Public Health Information, Shenzhen, China.
Xiaojian LiuDepartment of Public Health Information, Shenzhen, China.
Lan WeiDepartment of Public Health Information, Shenzhen, China.
Shaun A TrueloveDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Tong ZhangArtificial Intelligence Research Center, Peng Cheng Laboratory, Shenzhen, China.
Wei GaoDepartment of Communicable Diseases Control and Prevention, Shenzhen, China.
Cong ChengDepartment of Communicable Diseases Control and Prevention, Shenzhen, China.
Xiujuan TangDepartment of Communicable Diseases Control and Prevention, Shenzhen, China.
Xiaoliang WuDepartment of Communicable Diseases Control and Prevention, Shenzhen, China.
Yu WuDepartment of School Health, Shenzhen, China.
Binbin SunSchool of Computer Science, Harbin Institute of Technology at Shenzhen, Shenzhen, China; Artificial Intelligence Research Center, Peng Cheng Laboratory, Shenzhen, China.
Suli HuangDepartment of Environment and Health, Shenzhen, China.
Yu SunArtificial Intelligence Research Center, Peng Cheng Laboratory, Shenzhen, China.
Juncen ZhangArtificial Intelligence Research Center, Peng Cheng Laboratory, Shenzhen, China.
Ting MaSchool of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen, China; Artificial Intelligence Research Center, Peng Cheng Laboratory, Shenzhen, China. Electronic address: tma@hit.edu.cn.
Justin LesslerDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. Electronic address: justin@jhu.edu.
Tiejian FengShenzhen Center for Disease Control and Prevention, Shenzhen, China. Electronic address: fengtiej@126.com.
Shenzhen Center for Disease Control and Prevention · CNPeng Cheng Laboratory · CNJohns Hopkins University · USShenzhen University Health Science Center · CNShenzhen Institute of Information Technology · CN

Funding

AZT IN THE TREATMENT OF HIV ASSOCIATED DEMENTIA AND NEUROMUSCULAR DISORDERSZ01CC002000 · CC · CENTERS FOR DISEASE CONTROL AND PREV · PI SEVER, J L · 1988 to 1988
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6 · The paper itself

Abstract

backgroundRapid spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Wuhan, China, prompted heightened surveillance in Shenzhen, China. The resulting data provide a rare opportunity to measure key metrics of disease course, transmission, and the impact of control measures.

methodsFrom Jan 14 to Feb 12, 2020, the Shenzhen Center for Disease Control and Prevention identified 391 SARS-CoV-2 cases and 1286 close contacts. We compared cases identified through symptomatic surveillance and contact tracing, and estimated the time from symptom onset to confirmation, isolation, and admission to hospital. We estimated metrics of disease transmission and analysed factors influencing transmission risk.

findingsCases were older than the general population (mean age 45 years) and balanced between males (n=187) and females (n=204). 356 (91%) of 391 cases had mild or moderate clinical severity at initial assessment. As of Feb 22, 2020, three cases had died and 225 had recovered (median time to recovery 21 days; 95% CI 20-22). Cases were isolated on average 4·6 days (95% CI 4·1-5·0) after developing symptoms; contact tracing reduced this by 1·9 days (95% CI 1·1-2·7). Household contacts and those travelling with a case were at higher risk of infection (odds ratio 6·27 [95% CI 1·49-26·33] for household contacts and 7·06 [1·43-34·91] for those travelling with a case) than other close contacts. The household secondary attack rate was 11·2% (95% CI 9·1-13·8), and children were as likely to be infected as adults (infection rate 7·4% in children <10 years vs population average of 6·6%). The observed reproductive number (R) was 0·4 (95% CI 0·3-0·5), with a mean serial interval of 6·3 days (95% CI 5·2-7·6).

interpretationOur data on cases as well as their infected and uninfected close contacts provide key insights into the epidemiology of SARS-CoV-2. This analysis shows that isolation and contact tracing reduce the time during which cases are infectious in the community, thereby reducing the R. The overall impact of isolation and contact tracing, however, is uncertain and highly dependent on the number of asymptomatic cases. Moreover, children are at a similar risk of infection to the general population, although less likely to have severe symptoms; hence they should be considered in analyses of transmission and control.

fundingEmergency Response Program of Harbin Institute of Technology, Emergency Response Program of Peng Cheng Laboratory, US Centers for Disease Control and Prevention.

Indexed as

AdolescentAdultAgedAged, 80 and overBasic Reproduction NumberBetacoronavirusChildChild, PreschoolChinaCommunicable Disease ControlContact TracingCoronavirus InfectionsCOVID-19Disease Transmission, InfectiousFemaleHumans

Identifiers

PMID32353347
PMCPMC7185944
OpenAlexW3020184843

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.