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

Author:

Althouse Benjamin M.,Wenger Edward A.,Miller Joel C.ORCID,Scarpino Samuel V.ORCID,Allard AntoineORCID,Hébert-Dufresne Laurent,Hu Hao

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.

Publisher

Public Library of Science (PLoS)

Subject

General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Neuroscience

Reference77 articles.

1. Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia;Q Li;N Engl J Med,2020

2. Beyond R0: heterogeneity in secondary infections and probabilistic epidemic forecasting;L Hébert-Dufresne;J. R. Soc. Interface,2020

3. Preliminary case report on the SARS-CoV-2 cluster in the UK, France, and Spain;EB Hodcroft;Swiss Med Wkly,2020

4. 70 of 92 coronavirus cases in massachusetts linked to Biogen employees after biotech firm’s Boston meeting;M Holcombe

5. The Korean clusters;M Hernandez

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3