Open AccessDevelopment and validation of risk prediction models for COVID-19 positivity in a hospital setting
Author(s) -
MingYen Ng,
Eric Yuk Fai Wan,
Ho Yuen Frank Wong,
Siu Ting Leung,
Jonan Chun Yin Lee,
Thomas Wing-Yan Chin,
Christine Lo,
Macy MeiSze Lui,
Edward Chan,
Ambrose Ho-Tung Fong,
Sau Yung Fung,
On Hang Ching,
K.W. Chiu,
Tom Wai Hin Chung,
Varut Vardhanbhuti,
Hiu Yin Sonia Lam,
Kelvin KaiWang To,
Jeffrey Chiu,
Tina Lam,
Pek Lan Khong,
Raymond Wai To Liu,
Johnny Wai Man Chan,
Alan Ka Lun Wu,
Kwok-Cheung Lung,
Ivan FanNgai Hung,
Chak Sing Lau,
Michael Kuo,
Msm Ip
Publication year - 2020
Publication title -
international journal of infectious diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.278
H-Index - 89
eISSN - 1878-3511
pISSN - 1201-9712
DOI - 10.1016/j.ijid.2020.09.022
Subject(s) - nomogram , logistic regression , medicine , covid-19 , statistics , predictive value , predictive modelling , calibration , confidence interval , mathematics , disease , infectious disease (medical specialty)
To develop: (1) two validated risk prediction models for coronavirus disease-2019 (COVID-19) positivity using readily available parameters in a general hospital setting; (2) nomograms and probabilities to allow clinical utilisation.
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