Testing for COVID-19: Some Statistical Issues

Journal of Data Science

article

Grace Y. Yi¹  Wenqing He¹  Dennis K. J. Lin³  Chun Ming Yu⁴ 

[1] Department of Statistical and Actuarial Sciences, University of Western Ontario;Department of Computer Science, University of Western Ontario;Department of Statistics, Pennsylvania State University, University Part;Northfield FHO @ Boardwalk Medical Center

关键词: COVID-19;    false negative;    false positive;    pandemic;    repeatedly testing;   

DOI  :  10.6339/21-JDS993

学科分类：土木及结构工程学

来源: JDS

【 摘 要 】

The swift spread of the novel coronavirus is largely attributed to its stealthy transmissions in which infected patients may be asymptomatic or exhibit only flu-like symptoms in the early stage. Undetected transmissions present a remarkable challenge for the containment of the virus and pose an appalling threat to the public. An urgent question is on testing of the coronavirus. In this paper, we evaluate the situation from the statistical viewpoint by discussing the accuracy of test procedures and stress the importance of rationally interpreting test results.

【 授权许可】

CC BY