Publication Date
7-16-2021
Journal
BMJ Open
DOI
10.1136/bmjopen-2021-050473
PMID
34272225
PMCID
PMC8290949
PubMedCentral® Posted Date
7-16-2021
PubMedCentral® Full Text Version
Post-Print
Published Open-Access
yes
Keywords
COVID-19, COVID-19 Testing, Computer Simulation, Humans, Quarantine, SARS-CoV-2
Abstract
OBJECTIVE: To evaluate the effectiveness of SARS-CoV-2 testing on shortening the duration of quarantines for COVID-19 and to identify the most effective choices of testing schedules.
DESIGN: We performed extensive simulations to evaluate the performance of quarantine strategies when one or more SARS-CoV-2 tests were administered during the quarantine. Simulations were based on statistical models for the transmissibility and viral loads of SARS-CoV-2 infections and the sensitivities of available testing methods. Sensitivity analyses were performed to evaluate the impact of perturbations in model assumptions on the outcomes of optimal strategies.
RESULTS: We found that SARS-CoV-2 testing can effectively reduce the length of a quarantine without compromising safety. A single reverse transcription-PCR (RT-PCR) test performed before the end of quarantine can reduce quarantine duration to 10 days. Two tests can reduce the duration to 8 days, and three highly sensitive RT-PCR tests can justify a 6-day quarantine. More strategic testing schedules and longer quarantines are needed if tests are administered with less-sensitive RT-PCR tests or antigen tests. Shorter quarantines can be used for applications that tolerate a residual postquarantine transmission risk comparable to a 10-day quarantine.
CONCLUSIONS: Testing could substantially reduce the length of isolation, reducing the physical and mental stress caused by lengthy quarantines. With increasing capacity and lowered costs of SARS-CoV-2 tests, test-assisted quarantines could be safer and more cost-effective than 14-day quarantines and warrant more widespread use.
Included in
COVID-19 Commons, Diseases Commons, Epidemiology Commons, Medical Sciences Commons, Medical Specialties Commons
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