Bayesian Estimation of the Risk of Covid-19 Infection in Data Constraints
Download as PDF
DOI: 10.25236/cseem.2020.033
Author(s)
Rui Wu, Lisong He, Yan Wang and Qian Cheng
Corresponding Author
Rui Wu
Abstract
Based on the epidemiological data and the related population data published in the research paper of the epidemiological group of the Chinese Center for Disease Control and Prevention(CDC) on the mechanism of emergency response to coronavirus pneumonia, the risk of coronavirus infection in returning students is estimated by using the Bayesian principle. The results show that the Bayesian principle can be used to estimate the risk of students' infection according to the prior probability under the data limitation.
Keywords
Covid-19, Bayesian estimation, Chinese center for disease control and prevention