Author: Markus Mueller; Peter Derlet; Christopher Mudry; Gabriel Aeppli
Title: Using random testing to manage a safe exit from the COVID-19 lockdown Document date: 2020_4_14
ID: loi1vs5y_106
Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.09.20059360 doi: medRxiv preprint fraction of people, i. A recent study based on random testing reports that the fraction of people currently infected with the virus lies within the confidence interval [0.0012, 0.0076] in Austria (whereby half of the infected people in the sample were previously undetected) [16] . The estimates in Ref. [4.....
Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.09.20059360 doi: medRxiv preprint fraction of people, i. A recent study based on random testing reports that the fraction of people currently infected with the virus lies within the confidence interval [0.0012, 0.0076] in Austria (whereby half of the infected people in the sample were previously undetected) [16] . The estimates in Ref. [4] suggest that the fraction of acutely infected people was even close to 0.01 before the lock-down in Switzerland. This indicates that our threshold estimate (14b) is conservative. If the actual threshold (which depends on the country, the structure of its population, and its health-care infrastructure) is higher, the testing frequency required to reach a defined accuracy decreases in proportion.
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