Linking statistics with testing policy to manage COVID-19 in the community

LH Hilborne, Z Wagner, I Cabreros… - American journal of …, 2020 - academic.oup.com
LH Hilborne, Z Wagner, I Cabreros, RH Brook
American journal of clinical pathology, 2020academic.oup.com
Objectives To determine the public health surveillance severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2) testing volume needed, both for acute infection and
seroprevalence. Methods Required testing volumes were developed using standard
statistical methods based on test analytical performance, disease prevalence, desired
precision, and population size. Results Widespread testing for individual health
management cannot address surveillance needs. The number of people who must be …
Objectives
To determine the public health surveillance severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) testing volume needed, both for acute infection and seroprevalence.
Methods
Required testing volumes were developed using standard statistical methods based on test analytical performance, disease prevalence, desired precision, and population size.
Results
Widespread testing for individual health management cannot address surveillance needs. The number of people who must be sampled for public health surveillance and decision making, although not trivial, is potentially in the thousands for any given population or subpopulation, not millions.
Conclusions
While the contributions of diagnostic testing for SARS-CoV-2 have received considerable attention, concerns abound regarding the availability of sufficient testing capacity to meet demand. Different testing goals require different numbers of tests and different testing strategies; testing strategies for national or local disease surveillance, including monitoring of prevalence, receive less attention. Our clinical laboratory and diagnostic infrastructure are capable of incorporating required volumes for many local, regional, and national public health surveillance studies into their current and projected testing capacity. However, testing for surveillance requires careful design and randomization to provide meaningful insights.
Oxford University Press
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