• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

SARS-CoV-2 传播动力学中的超级传播事件:干预和控制的机会。

Superspreading events in the transmission dynamics of SARS-CoV-2: Opportunities for interventions and control.

机构信息

Institute for Disease Modeling, Bellevue, Washington, United States of America.

University of Washington, Seattle, Washington, United States of America.

出版信息

PLoS Biol. 2020 Nov 12;18(11):e3000897. doi: 10.1371/journal.pbio.3000897. eCollection 2020 Nov.

DOI:10.1371/journal.pbio.3000897
PMID:33180773
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7685463/
Abstract

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the etiological agent of the Coronavirus Disease 2019 (COVID-19) disease, has moved rapidly around the globe, infecting millions and killing hundreds of thousands. The basic reproduction number, which has been widely used-appropriately and less appropriately-to characterize the transmissibility of the virus, hides the fact that transmission is stochastic, often dominated by a small number of individuals, and heavily influenced by superspreading events (SSEs). The distinct transmission features of SARS-CoV-2, e.g., high stochasticity under low prevalence (as compared to other pathogens, such as influenza), and the central role played by SSEs on transmission dynamics cannot be overlooked. Many explosive SSEs have occurred in indoor settings, stoking the pandemic and shaping its spread, such as long-term care facilities, prisons, meat-packing plants, produce processing facilities, fish factories, cruise ships, family gatherings, parties, and nightclubs. These SSEs demonstrate the urgent need to understand routes of transmission, while posing an opportunity to effectively contain outbreaks with targeted interventions to eliminate SSEs. Here, we describe the different types of SSEs, how they influence transmission, empirical evidence for their role in the COVID-19 pandemic, and give recommendations for control of SARS-CoV-2.

摘要

严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)是导致 2019 年冠状病毒病(COVID-19)的病原体,已在全球迅速传播,感染了数百万人,导致数十万人死亡。基本再生数(R0)被广泛用于描述病毒的传染性,这个数字掩盖了传播具有随机性的事实,通常由少数个体主导,并且受到超级传播事件(SSEs)的严重影响。SARS-CoV-2 的独特传播特征,例如在低流行率下(与流感等其他病原体相比)具有较高的随机性,以及 SSEs 在传播动力学中起核心作用,这些都不容忽视。许多爆发性的 SSEs 发生在室内环境中,推动了大流行的发展并塑造了其传播,例如长期护理机构、监狱、肉类加工厂、农产品加工厂、鱼类加工厂、游轮、家庭聚会、派对和夜总会。这些 SSEs 表明迫切需要了解传播途径,同时也为通过有针对性的干预措施消除 SSEs 来有效控制疫情提供了机会。在这里,我们描述了不同类型的 SSEs,它们如何影响传播,以及它们在 COVID-19 大流行中的作用的经验证据,并提出了控制 SARS-CoV-2 的建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488f/7685463/d48236c194c8/pbio.3000897.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488f/7685463/22f1720ba26f/pbio.3000897.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488f/7685463/1e9df2afa646/pbio.3000897.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488f/7685463/d48236c194c8/pbio.3000897.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488f/7685463/22f1720ba26f/pbio.3000897.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488f/7685463/1e9df2afa646/pbio.3000897.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488f/7685463/d48236c194c8/pbio.3000897.g003.jpg

相似文献

1
Superspreading events in the transmission dynamics of SARS-CoV-2: Opportunities for interventions and control.SARS-CoV-2 传播动力学中的超级传播事件:干预和控制的机会。
PLoS Biol. 2020 Nov 12;18(11):e3000897. doi: 10.1371/journal.pbio.3000897. eCollection 2020 Nov.
2
Estimating the Epidemic Size of Superspreading Coronavirus Outbreaks in Real Time: Quantitative Study.实时估计超级传播冠状病毒暴发的流行规模:定量研究。
JMIR Public Health Surveill. 2024 Feb 12;10:e46687. doi: 10.2196/46687.
3
Identifying and Interrupting Superspreading Events-Implications for Control of Severe Acute Respiratory Syndrome Coronavirus 2.识别和中断超级传播事件——对严重急性呼吸综合征冠状病毒 2 控制的启示。
Emerg Infect Dis. 2020 Jun;26(6):1059-1066. doi: 10.3201/eid2606.200495. Epub 2020 Jun 17.
4
Differences in the superspreading potentials of COVID-19 across contact settings.不同接触环境下 COVID-19 的超级传播潜力差异。
BMC Infect Dis. 2022 Dec 12;22(1):936. doi: 10.1186/s12879-022-07928-9.
5
Superspreading events of SARS-CoV-2 in Paris: A retrospective analysis of data from the first wave of COVID-19 in 2020.2020 年 COVID-19 第一波期间 SARS-CoV-2 在巴黎的超级传播事件:一项回顾性数据分析。
J Infect Public Health. 2021 Nov;14(11):1733-1738. doi: 10.1016/j.jiph.2021.10.001. Epub 2021 Oct 6.
6
Quantifying the importance and location of SARS-CoV-2 transmission events in large metropolitan areas.量化大型都会区中 SARS-CoV-2 传播事件的重要性和位置。
Proc Natl Acad Sci U S A. 2022 Jun 28;119(26):e2112182119. doi: 10.1073/pnas.2112182119. Epub 2022 Jun 13.
7
Clustering and superspreading potential of SARS-CoV-2 infections in Hong Kong.香港 SARS-CoV-2 感染的聚类和超级传播潜力。
Nat Med. 2020 Nov;26(11):1714-1719. doi: 10.1038/s41591-020-1092-0. Epub 2020 Sep 17.
8
Exploring the role of superspreading events in SARS-CoV-2 outbreaks.探讨超级传播事件在 SARS-CoV-2 暴发中的作用。
J Theor Biol. 2023 Feb 7;558:111353. doi: 10.1016/j.jtbi.2022.111353. Epub 2022 Nov 14.
9
The unique features of SARS-CoV-2 transmission: Comparison with SARS-CoV, MERS-CoV and 2009 H1N1 pandemic influenza virus.SARS-CoV-2 传播的独特特征:与 SARS-CoV、MERS-CoV 和 2009 年 H1N1 大流行性流感病毒的比较。
Rev Med Virol. 2021 Mar;31(2):e2171. doi: 10.1002/rmv.2171. Epub 2020 Sep 18.
10
Transmission dynamics of SARS-CoV-2 on the Diamond Princess uncovered using viral genome sequence analysis.利用病毒基因组序列分析揭示“钻石公主”号上 SARS-CoV-2 的传播动力学。
Gene. 2021 May 5;779:145496. doi: 10.1016/j.gene.2021.145496. Epub 2021 Feb 13.

引用本文的文献

1
The spatiotemporal dynamics of COVID-19 in Europe: time-series clustering maps 5 distinct trajectories to spatial patterns.欧洲新冠疫情的时空动态:时间序列聚类描绘了5种不同的空间模式轨迹。
Popul Health Metr. 2025 Aug 5;23(1):44. doi: 10.1186/s12963-025-00405-w.
2
Transmission Dynamics and Parameters for Pertussis during School-Based Outbreak, South Korea, 2024.2024年韩国校内百日咳疫情的传播动态与参数
Emerg Infect Dis. 2025 Jul;31(7):1330-1336. doi: 10.3201/eid3107.241643.
3
Community-Level Health Interventions are Crucial in the Post-COVID-19 Era: Lessons from Africa's Proactive Public Health Policy Interventions.

本文引用的文献

1
Seek COVER: using a disease proxy to rapidly develop and validate a personalized risk calculator for COVID-19 outcomes in an international network.寻找替代指标:利用疾病替代指标在国际网络中快速开发和验证针对 COVID-19 结局的个体化风险计算器。
BMC Med Res Methodol. 2022 Jan 30;22(1):35. doi: 10.1186/s12874-022-01505-z.
2
Controlling COVID-19 via test-trace-quarantine.通过检测-追踪-隔离控制新冠病毒。
Nat Commun. 2021 May 20;12(1):2993. doi: 10.1038/s41467-021-23276-9.
3
Chest CT Findings in Cases from the Cruise Ship with Coronavirus Disease (COVID-19).
社区层面的健康干预措施在新冠疫情后时代至关重要:来自非洲积极主动的公共卫生政策干预措施的经验教训。
Humanist Manag J. 2022;7(3):369-390. doi: 10.1007/s41463-022-00127-3. Epub 2022 Jun 28.
4
Epidemic-induced local awareness behavior inferred from surveys and genetic sequence data.从调查和基因序列数据推断出的疫情引发的局部认知行为。
Nat Commun. 2025 May 22;16(1):4758. doi: 10.1038/s41467-025-59508-5.
5
SARS-CoV-2 epidemiology, kinetics, and evolution: A narrative review.严重急性呼吸综合征冠状病毒2型的流行病学、动力学及进化:一篇综述
Virulence. 2025 Dec;16(1):2480633. doi: 10.1080/21505594.2025.2480633. Epub 2025 Apr 8.
6
Design of field trials for the evaluation of transmissible vaccines in animal populations.用于评估动物群体中可传播疫苗的现场试验设计。
PLoS Comput Biol. 2025 Feb 3;21(2):e1012779. doi: 10.1371/journal.pcbi.1012779. eCollection 2025 Feb.
7
Inferring effects of mutations on SARS-CoV-2 transmission from genomic surveillance data.从基因组监测数据推断突变对新冠病毒传播的影响。
Nat Commun. 2025 Jan 7;16(1):441. doi: 10.1038/s41467-024-55593-0.
8
A meta-analysis highlights the idiosyncratic nature of tradeoffs in laboratory models of virus evolution.一项荟萃分析突出了病毒进化实验室模型中权衡的独特性质。
Virus Evol. 2024 Dec 6;10(1):veae105. doi: 10.1093/ve/veae105. eCollection 2024.
9
Environmental predictors of SARS-CoV-2 infection incidence in Catalonia (northwestern Mediterranean).加泰罗尼亚(地中海西北部)SARS-CoV-2感染发病率的环境预测因素。
Front Public Health. 2024 Dec 5;12:1430902. doi: 10.3389/fpubh.2024.1430902. eCollection 2024.
10
Reconstructing networks from simple and complex contagions.从简单传染和复杂传染中重构网络。
Phys Rev E. 2024 Oct;110(4):L042301. doi: 10.1103/PhysRevE.110.L042301.
邮轮上新型冠状病毒肺炎(COVID-19)病例的胸部CT表现
Radiol Cardiothorac Imaging. 2020 Mar 17;2(2):e200110. doi: 10.1148/ryct.2020200110. eCollection 2020 Apr.
4
Perfect as the enemy of good: tracing transmissions with low-sensitivity tests to mitigate SARS-CoV-2 outbreaks.尽善尽美乃大患:利用低灵敏度检测追踪传播以减轻 SARS-CoV-2 疫情。
Lancet Microbe. 2021 May;2(5):e219-e224. doi: 10.1016/S2666-5247(21)00004-5. Epub 2021 Mar 12.
5
Variation in microparasite free-living survival and indirect transmission can modulate the intensity of emerging outbreaks.微生物寄生虫自由生活的存活和间接传播的变化可以调节新出现疫情的强度。
Sci Rep. 2020 Nov 27;10(1):20786. doi: 10.1038/s41598-020-77048-4.
6
Beyond : heterogeneity in secondary infections and probabilistic epidemic forecasting.超越:二次感染的异质性和概率性传染病预测。
J R Soc Interface. 2020 Nov;17(172):20200393. doi: 10.1098/rsif.2020.0393. Epub 2020 Nov 4.
7
Full genome viral sequences inform patterns of SARS-CoV-2 spread into and within Israel.全基因组病毒序列揭示了 SARS-CoV-2 在以色列境内和之间传播的模式。
Nat Commun. 2020 Nov 2;11(1):5518. doi: 10.1038/s41467-020-19248-0.
8
Indoor transmission of SARS-CoV-2.室内传播的 SARS-CoV-2。
Indoor Air. 2021 May;31(3):639-645. doi: 10.1111/ina.12766. Epub 2020 Nov 20.
9
Clinical features of COVID-19 mortality: development and validation of a clinical prediction model.COVID-19 死亡率的临床特征:临床预测模型的建立与验证。
Lancet Digit Health. 2020 Oct;2(10):e516-e525. doi: 10.1016/S2589-7500(20)30217-X. Epub 2020 Sep 22.
10
Clustering and superspreading potential of SARS-CoV-2 infections in Hong Kong.香港 SARS-CoV-2 感染的聚类和超级传播潜力。
Nat Med. 2020 Nov;26(11):1714-1719. doi: 10.1038/s41591-020-1092-0. Epub 2020 Sep 17.