Assessing the spread of the novel coronavirus in the absence of mass testing
File(s)
Author(s)
Dimdore-Miles, O
Miles, D
Type
Journal Article
Abstract
This note outlines a simple method for estimating the spread of the COVID 19 virus in the absence of data on test results for a large, random sample of the population. It applies the method to the UK, and other countries, and finds that to match data on daily new cases of the virus, the estimated model favours high values for the number of people infected but asymptomatic. That result is very sensitive to whether the transmission rate of the virus is di erent for symptomatic and asymptomatic cases, something about which there is significant uncertainty. This illustrates how di icult it is to estimate the spread of the virus until very large samples of the population can be tested.
Date Issued
2020-05-11
Date Acceptance
2020-05-05
Publisher
CEPR Centre for Economic Policy Research
Start Page
161
End Page
176
Journal / Book Title
Covid Economics, Vetted and Real-Time Papers
Volume
2020
Issue
16
Copyright Statement
© 2020 The Author(s).
Publication Status
Published