Testing for COVID-19: Some Statistical Issues
Volume 19, Issue 2 (2021): Special issue: Continued Data Science Contributions to COVID-19 Pandemic, pp. 243–252
Pub. online: 7 May 2021
Type: Data Science In Action
Received
1 June 2020
1 June 2020
Accepted
1 September 2020
1 September 2020
Published
7 May 2021
7 May 2021
Abstract
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.
Supplementary material
Supplementary MaterialThe Diamond Princess data and the R code for the figures in the paper are available online at the Journal of Data Science website.
References
BioMedomics (2020). COVID-19 rapid test. https://www.biomedomics.com/products/infectious-disease/covid-19-rt/.
Diamond Princess (2020). Diamond princess updates. https://www.princess.com/news/notices%20_and_advisories/notices/diamond-princess-update.html.