A Bayesian method for synthesizing multiple diagnostic outcomes of COVID-19 tests

A Bayesian method for synthesizing multiple diagnostic outcomes of COVID-19 tests

The novel coronavirus disease 2019 (COVID-19) has spread worldwide and threatened human life. Diagnosis is crucial to contain the spread of SARS-CoV-2 infections and save lives. Diagnostic tests for COVID-19 have varying sensitivity and specificity, and the false-negative results would have substant...

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Bibliographic Details
Main Authors: Lirong Cao, Shi Zhao, Qi Li, Lowell Ling, William K. K. Wu, Lin Zhang, Jingzhi Lou, Marc K. C. Chong, Zigui Chen, Eliza L. Y. Wong, Benny C. Y. Zee, Matthew T. V. Chan, Paul K. S. Chan, Maggie H. Wang
Format: Article
Language:English
Published: The Royal Society 2021-09-01
Series:Royal Society Open Science
Subjects:
COVID-19
SARS-CoV-2
reverse transcription–polymerase chain reaction
chest computed tomography
serological tests
multiple tests integration
Online Access:https://royalsocietypublishing.org/doi/10.1098/rsos.201867

Internet

https://royalsocietypublishing.org/doi/10.1098/rsos.201867

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