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Cryptic transmission of SARS-CoV-2 and the first COVID-19 wave in Europe and the United States
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; M. Elizabeth Halloran; Ira M Longini; Cécile Viboud; Alessandro Vespignani.
Afiliação
  • Jessica T Davis; Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA USA
  • Matteo Chinazzi; Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA USA
  • Nicola Perra; Networks and Urban Systems Centre, University of Greenwich, London, UK
  • Kunpeng Mu; Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA USA
  • Ana Pastore y Piontti; Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA USA
  • Marco Ajelli; Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA
  • Natalie E Dean; Department of Biostatistics, College of Public Health and Health Professions, University of Florida, Gainesville, USA
  • Corrado Gioannini; ISI Foundation, Turin, Italy
  • Maria Litvinova; Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA
  • Stefano Merler; Bruno Kessler Foundation, Trento Italy
  • Luca Rossi; ISI Foundation, Turin, Italy
  • Kaiyuan Sun; Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA
  • Xinyue Xiong; Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA USA
  • M. Elizabeth Halloran; Fred Hutchinson Cancer Research Center, Seattle, WA, USA; Department of Biostatistics, University of Washington, Seattle, WA. USA
  • Ira M Longini; Department of Biostatistics, College of Public Health and Health Professions, University of Florida, Gainesville, USA
  • Cécile Viboud; Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA
  • Alessandro Vespignani; Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA USA
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21254199
ABSTRACT
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.
Licença
cc_by_nc_nd
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
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