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Abstract
KEY MESSAGES
A general practice prediction model based on signs and symptoms of COVID-19 patients reliably predicted hospitalisation.
The model performed well in second-wave data with other dominant variants and changed testing and vaccination policies.
In an emerging pandemic, GP data can be leveraged to develop prognostic models for decision support and to predict hospitalisation rates.
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Details
1 Department of Epidemiology, Care and Public Health Research Institute (CAPHRI), Maastricht University , Maastricht , The Netherlands, Department of Development and Regeneration , KU Leuven, Leuven , Belgium
2 Department of Family Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University , Maastricht , The Netherlands
3 Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University , Utrecht , The Netherlands
4 Department of Emergency Medicine, VieCuri Medical Center , Venlo , The Netherlands
5 Dept. of Clinical Chemistry & Hematology, Zuyderland MC Sittard-Geleen/Heerlen , Heerlen , The Netherlands
6 Department of Internal Medicine, School for Cardiovascular Diseases, CARIM, Maastricht University Medical Center , Maastricht , The Netherlands