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Deducing the Dose-response Relation for Coronaviruses from COVID-19, SARS and MERS Meta-analysis Results
Xiaole Zhang; Jing Wang.
Afiliação
  • Xiaole Zhang; 1. Institute of Environmental Engineering (IfU), ETH Zurich 2. Laboratory for Advanced Analytical Technologies, Empa
  • Jing Wang; 1. Institute of Environmental Engineering (IfU), ETH Zurich 2. Laboratory for Advanced Analytical Technologies, Empa
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20140624
ABSTRACT
The fundamental dose-response relation is still missing for better evaluating and controlling the transmission risk of COVID-19. A recent study by Chu et al. has indicated that the anticipated probability of viral infection is about 12.8% within 1 m and about 2.6% at further distance through a systematic review and meta-analysis. This important information provides us a unique opportunity to assess the dose-response relation of the viruses, if reasonable exposure dose could be estimated. Here we developed a simple framework to integrate the a priori dose-response relation for SARS-CoV based on mice experiments, and the recent data on infection risk and viral shedding, to shed light on the dose-response relation for human. The developed dose-response relation is an exponential function with a constant k in the range of 6.19x104 to 7.28x105 virus copies. The result mean that the infection risk caused by one virus copy in viral shedding is about 1.5x10-6 to 1.6x10-5. The developed dose-response relation provides a tool to quantify the magnitude of the infection risk.
Licença
cc_by_nc_nd
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo prognóstico / Review / Revisão sistemática Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo prognóstico / Review / Revisão sistemática Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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