Estimating the Instantaneous Asymptomatic Proportion With a Simple Approach: Exemplified With the Publicly Available COVID-19 Surveillance Data in Hong Kong

Frontiers in Public Health

Daihai He¹  Yuchen Zhu²  Xiujun Li²  Chunyu Li²  Shi Zhao³  Biao Tang⁴  Jinjun Ran⁵ 

[1] Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China;Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China;JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China;Chinese University of Hong Kong (CUHK) Shenzhen Research Institute, Shenzhen, China;School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China;Laboratory for Industrial and Applied Mathematics, Department of Mathematics and Statistics, York University, Toronto, ON, Canada;School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China;

关键词: COVID-19;    likelihood-based framework;    instantaneous asymptomatic proportion;    Hong Kong;    epidemic;   

DOI  :  10.3389/fpubh.2021.604455

来源: Frontiers

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