Cryptic transmission of SARS-CoV-2 and the first COVID-19 wave

被引:0
|
作者
Jessica T. Davis
Matteo Chinazzi
Nicola Perra
Kunpeng Mu
Ana Pastore y Piontti
Marco Ajelli
Natalie E. Dean
Corrado Gioannini
Maria Litvinova
Stefano Merler
Luca Rossi
Kaiyuan Sun
Xinyue Xiong
Ira M. Longini
M. Elizabeth Halloran
Cécile Viboud
Alessandro Vespignani
机构
[1] Northeastern University,Laboratory for the Modeling of Biological and Socio
[2] University of Greenwich,technical Systems
[3] Indiana University School of Public Health,Networks and Urban Systems Centre
[4] Emory University,Department of Epidemiology and Biostatistics
[5] ISI Foundation,Department of Biostatistics and Bioinformatics
[6] Bruno Kessler Foundation,Division of International Epidemiology and Population Studies, Fogarty International Center
[7] National Institutes of Health,Department of Biostatistics, College of Public Health and Health Professions
[8] University of Florida,Department of Biostatistics
[9] Vaccine and Infectious Disease Division,undefined
[10] Fred Hutchinson Cancer Research Center,undefined
[11] University of Washington,undefined
来源
Nature | 2021年 / 600卷
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摘要
Considerable uncertainty surrounds the timeline of introductions and onsets of local transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) globally1–7. Although a limited number of SARS-CoV-2 introductions were reported in January and February 2020 (refs.8,9), the narrowness of the initial testing criteria, combined with a slow growth in testing capacity and porous travel screening10, left many countries vulnerable to unmitigated, cryptic transmission. Here we use a global metapopulation epidemic model to provide a mechanistic understanding of the early dispersal of infections and the temporal windows of the introduction of SARS-CoV-2 and onset of local transmission in Europe and the USA. We find that community transmission of SARS-CoV-2 was likely to have been present in several areas of Europe and the USA by January 2020, and estimate that by early March, only 1 to 4 in 100 SARS-CoV-2 infections were detected by surveillance systems. The modelling results highlight international travel as the key driver of the introduction of SARS-CoV-2, with possible introductions and transmission events as early as December 2019 to January 2020. We find a heterogeneous geographic distribution of cumulative infection attack rates by 4 July 2020, ranging from 0.78% to 15.2% across US states and 0.19% to 13.2% in European countries. Our approach complements phylogenetic analyses and other surveillance approaches and provides insights that can be used to design innovative, model-driven surveillance systems that guide enhanced testing and response strategies.
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页码:127 / 132
页数:5
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