Davis Jessica T, Chinazzi Matteo, Perra Nicola, Mu Kunpeng, Piontti Ana Pastore Y, Ajelli Marco, Dean Natalie E, Gioannini Corrado, Litvinova Maria, Merler Stefano, Rossi Luca, Sun Kaiyuan, Xiong Xinyue, Halloran M Elizabeth, Longini Ira M, Viboud Cécile, Vespignani Alessandro
Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA USA.
Networks and Urban Systems Centre, University of Greenwich, London, UK.
medRxiv. 2021 Mar 26:2021.03.24.21254199. doi: 10.1101/2021.03.24.21254199.
Given the narrowness of the initial testing criteria, the SARS-CoV-2 virus spread through cryptic transmission in January and February, setting the stage for the epidemic wave experienced in March and April, 2020. We use a global metapopulation epidemic model to provide a mechanistic understanding of the global dynamic underlying the establishment of the COVID-19 pandemic in Europe and the United States (US). The model is calibrated on international case introductions at the early stage of the pandemic. We find that widespread community transmission of SARS-CoV-2 was likely in several areas of Europe and the US by January 2020, and estimate that by early March, only 1 - 3 in 100 SARS-CoV-2 infections were detected by surveillance systems. Modeling results indicate international travel as the key driver of the introduction of SARS-CoV-2 with possible importation and transmission events as early as December, 2019. We characterize the resulting heterogeneous spatio-temporal spread of SARS-CoV-2 and the burden of the first COVID-19 wave (February-July 2020). We estimate infection attack rates ranging from 0.78%-15.2% in the US and 0.19%-13.2% in Europe. The spatial modeling of SARS-CoV-2 introductions and spreading provides insights into the design of innovative, model-driven surveillance systems and preparedness plans that have a broader initial capacity and indication for testing.
鉴于最初检测标准的局限性,严重急性呼吸综合征冠状病毒2(SARS-CoV-2)病毒在1月和2月通过隐匿性传播扩散,为2020年3月和4月经历的疫情浪潮埋下了伏笔。我们使用一个全球种群动态疫情模型,来深入理解欧洲和美国新冠疫情大流行背后的全球动态机制。该模型根据疫情早期的国际病例输入情况进行校准。我们发现,到2020年1月,SARS-CoV-2在欧洲和美国的几个地区可能已经出现了广泛的社区传播,并估计到3月初,监测系统仅检测到了每100例SARS-CoV-2感染中的1 - 3例。模型结果表明,国际旅行是SARS-CoV-2传入的关键驱动因素,最早可能在2019年12月就出现了输入和传播事件。我们描述了由此产生的SARS-CoV-2异质时空传播以及第一波新冠疫情(2020年2月至7月)的负担情况。我们估计美国的感染攻击率在0.78%至15.2%之间,欧洲在0.19%至13.2%之间。SARS-CoV-2传入和传播的空间模型为创新的、模型驱动的监测系统和准备计划的设计提供了见解,这些系统和计划具有更广泛的初始检测能力和检测指征。