Literature DB >> 33234698

Transmission heterogeneities, kinetics, and controllability of SARS-CoV-2.

Wei Wang1, Lidong Gao2, Cécile Viboud3, Hongjie Yu4, Kaiyuan Sun5, Yan Wang1, Kaiwei Luo2, Lingshuang Ren1, Zhifei Zhan2, Xinghui Chen1, Shanlu Zhao2, Yiwei Huang2, Qianlai Sun2, Ziyan Liu2, Maria Litvinova6,7, Alessandro Vespignani8,7, Marco Ajelli6,8.   

Abstract

A long-standing question in infectious disease dynamics concerns the role of transmission heterogeneities, which are driven by demography, behavior, and interventions. On the basis of detailed patient and contact-tracing data in Hunan, China, we find that 80% of secondary infections traced back to 15% of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) primary infections, which indicates substantial transmission heterogeneities. Transmission risk scales positively with the duration of exposure and the closeness of social interactions and is modulated by demographic and clinical factors. The lockdown period increases transmission risk in the family and households, whereas isolation and quarantine reduce risks across all types of contacts. The reconstructed infectiousness profile of a typical SARS-CoV-2 patient peaks just before symptom presentation. Modeling indicates that SARS-CoV-2 control requires the synergistic efforts of case isolation, contact quarantine, and population-level interventions because of the specific transmission kinetics of this virus.
Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

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Year:  2020        PMID: 33234698      PMCID: PMC7857413          DOI: 10.1126/science.abe2424

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  49 in total

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Journal:  Ann Epidemiol       Date:  2020-06-17       Impact factor: 3.797

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Journal:  Lancet Infect Dis       Date:  2020-03-23       Impact factor: 25.071

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Journal:  MMWR Morb Mortal Wkly Rep       Date:  2020-04-03       Impact factor: 17.586

9.  Early dynamics of transmission and control of COVID-19: a mathematical modelling study.

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