Leveraging near-real-time patient and population data to incorporate fluctuating risk of severe COVID-19: development and prospective validation of a personalised risk prediction toolResearch in context

Leveraging near-real-time patient and population data to incorporate fluctuating risk of severe COVID-19: development and prospective validation of a personalised risk prediction toolResearch in context

Summary: Background: Novel strategies that account for population-level changes in dominant variants, immunity, testing practices and changes in individual risk profiles are needed to identify patients who remain at high risk of severe COVID-19. The aim of this study was to develop and prospectivel...

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Bibliographic Details
Main Authors: Kaitlin Swinnerton, Nathanael R. Fillmore, Austin Vo, Jennifer La, Danne Elbers, Mary Brophy, Nhan V. Do, Paul A. Monach, Westyn Branch-Elliman
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:EClinicalMedicine
Subjects:
COVID-19
SARS-CoV-2
Risk prediction
Clinical decompensation scores
Learning health systems
Dynamic sustainability
Online Access:http://www.sciencedirect.com/science/article/pii/S258953702500046X
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