Bridging the gaps in test interpretation of SARS-CoV-2 through Bayesian network modelling.

Wu, Yue; Foley, David; Ramsay, Jessica; Woodberry, Owen; Mascaro, Steven; Nicholson, Ann E; Snelling, Tom

Wu, Yue; Foley, David; Ramsay, Jessica; Woodberry, Owen; Mascaro, Steven; Nicholson, Ann E; Snelling, Tom.

Wu Y; School of Public Health, University of Sydney, Camperdown, New South Wales, Australia.
Foley D; Department of Infectious Diseases, Perth Children's Hospital, Perth, Western Australia, Australia.
Ramsay J; Wesfarmers Centre for Vaccines and Infectious Diseases, Telethon Kids Institute, Perth, Western Australia, Australia.
Woodberry O; Department of Data Science & Artificial Intelligence, Monash University, Clayton, Victoria, Australia.
Mascaro S; Department of Data Science & Artificial Intelligence, Monash University, Clayton, Victoria, Australia.
Nicholson AE; Department of Data Science & Artificial Intelligence, Monash University, Clayton, Victoria, Australia.
Snelling T; School of Public Health, University of Sydney, Camperdown, New South Wales, Australia.

Epidemiol Infect ; : 1-13, 2021 Jun 23.

Article in English | MEDLINE | ID: covidwho-1297284

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Epidemiol Infect Journal subject: Communicable Diseases / Epidemiology Year: 2021 Document Type: Article Affiliation country: S0950268821001357

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