Evidence map›Paper›PMID 33234698›Full record

ArticleScience (New York, N.Y.)2021

Transmission heterogeneities, kinetics, and controllability of SARS-CoV-2.

Kaiyuan Sun, Wei Wang, Lidong Gao, Yan Wang, Kaiwei Luo, Lingshuang Ren, Zhifei Zhan, Xinghui Chen, Shanlu Zhao, Yiwei Huang and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Science (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 242 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
242citing papers in PubMed, 7 pooled it
13.0field-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.

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

242 citing papers in PubMed, 7 syntheses or guidelines pooled it, 455 citations in OpenAlex.

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  13. VIBES: A multiscale modeling approach integrating within-host and between-hosts dynamics in epidemics.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  18. Superspreading and the evolution of virulence.PLoS computational biology · 2025
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182 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 5 institutions in 3 countries.

Kaiyuan SunDivision of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA. kaiyuan.sun@nih.gov yhj@fudan.edu.cn.ORCID https://orcid.org/0000-0002-1753-9884
Wei Wang *School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.ORCID https://orcid.org/0000-0003-4056-3732
Lidong Gao *Hunan Provincial Center for Disease Control and Prevention, Changsha, China.ORCID https://orcid.org/0000-0003-0387-4451
Yan WangSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.ORCID https://orcid.org/0000-0002-5620-2328
Kaiwei LuoHunan Provincial Center for Disease Control and Prevention, Changsha, China.
Lingshuang RenSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.
Zhifei ZhanHunan Provincial Center for Disease Control and Prevention, Changsha, China.
Xinghui ChenSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.
Shanlu ZhaoHunan Provincial Center for Disease Control and Prevention, Changsha, China.
Yiwei HuangHunan Provincial Center for Disease Control and Prevention, Changsha, China.
Qianlai SunHunan Provincial Center for Disease Control and Prevention, Changsha, China.
Ziyan LiuHunan Provincial Center for Disease Control and Prevention, Changsha, China.
Maria LitvinovaDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA.ORCID https://orcid.org/0000-0001-6393-1943
Alessandro VespignaniLaboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA, USA.ORCID https://orcid.org/0000-0003-3419-4205
Marco AjelliDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA.ORCID https://orcid.org/0000-0003-1753-4749
Cécile Viboud *Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA.ORCID https://orcid.org/0000-0003-3243-4711
Hongjie Yu *School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China. kaiyuan.sun@nih.gov yhj@fudan.edu.cn.ORCID https://orcid.org/0000-0002-6335-5648
Hunan Provincial Center for Disease Control and Prevention · CNFudan University · CNNational Institutes of Health · USNortheastern University · USInstitute for Scientific Interchange · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A long-standing question in infectious disease dynamics concerns the role of transmission heterogeneities, which are driven by demography, behavior, and interventions. On the basis of detailed patient and contact-tracing data in Hunan, China, we find that 80% of secondary infections traced back to 15% of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) primary infections, which indicates substantial transmission heterogeneities. Transmission risk scales positively with the duration of exposure and the closeness of social interactions and is modulated by demographic and clinical factors. The lockdown period increases transmission risk in the family and households, whereas isolation and quarantine reduce risks across all types of contacts. The reconstructed infectiousness profile of a typical SARS-CoV-2 patient peaks just before symptom presentation. Modeling indicates that SARS-CoV-2 control requires the synergistic efforts of case isolation, contact quarantine, and population-level interventions because of the specific transmission kinetics of this virus.

Indexed as

Asymptomatic InfectionsSARS-CoV-2AdolescentAdultAgedChain of InfectionChildChild, PreschoolChinaContact TracingCOVID-19Family CharacteristicsFemaleHumansInfantInfant, Newborn

Identifiers

PMID33234698
PMCPMC7857413
OpenAlexW3109998099

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.