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Transmission heterogeneities, kinetics, and controllability of SARS-CoV-2
Kaiyuan Sun; Wei Wang; Lidong Gao; Yan Wang; Kaiwei Luo; Lingshuang Ren; Zhifei Zhan; Xinghui Chen; Shanlu Zhao; Yiwei Huang; Qianlai Sun; Ziyan Liu; Maria Litvinova; Alessandro Vespignani; Marco Ajelli; Cecile Viboud; Hongjie Yu.
Afiliação
  • Kaiyuan Sun; Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA
  • Wei Wang; School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
  • Lidong Gao; Hunan Provincial Center for Disease Control and Prevention, Changsha, China
  • Yan Wang; School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
  • Kaiwei Luo; Hunan Provincial Center for Disease Control and Prevention, Changsha, China
  • Lingshuang Ren; School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
  • Zhifei Zhan; Hunan Provincial Center for Disease Control and Prevention, Changsha, China
  • Xinghui Chen; School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
  • Shanlu Zhao; Hunan Provincial Center for Disease Control and Prevention, Changsha, China
  • Yiwei Huang; Hunan Provincial Center for Disease Control and Prevention, Changsha, China
  • Qianlai Sun; Hunan Provincial Center for Disease Control and Prevention, Changsha, China
  • Ziyan Liu; Hunan Provincial Center for Disease Control and Prevention, Changsha, China
  • Maria Litvinova; ISI Foundation, Turin, Italy
  • Alessandro Vespignani; Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA USA; ISI Foundation, Turin, Italy
  • Marco Ajelli; Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA
  • Cecile Viboud; Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA
  • Hongjie Yu; School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20171132
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ABSTRACT
A long-standing question in infectious disease dynamics is the role of transmission heterogeneities, particularly those driven by demography, behavior and interventions. Here we characterize transmission risk between 1,178 SARS-CoV-2 infected individuals and their 15,648 close contacts based on detailed contact tracing data from Hunan, China. We find that 80% of secondary transmissions can be traced back to 14% of SARS-CoV-2 infections, indicating substantial transmission heterogeneities. Regression analysis suggests a marked gradient of transmission risk scales positively with the duration of exposure and the closeness of social interactions, after adjusted for demographic and clinical factors. Population-level physical distancing measures confine transmission to families and households; while case isolation and contact quarantine reduce transmission in all settings. Adjusted for interventions, the reconstructed infectiousness profile of a typical SARS-CoV-2 infection peaks just before symptom presentation, with ~50% of transmission occurring in the pre-symptomatic phase. Modelling results indicate that achieving SARS-CoV-2 control would require the synergistic efforts of case isolation, contact quarantine, and population-level physical distancing measures, owing to the particular transmission kinetics of this virus.
Licença
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Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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