Developing a COVID-19 mortality risk prediction model when individual-level data are not available

Developing a COVID-19 mortality risk prediction model when individual-level data are not available

Identification of individuals at risk of severe COVID-19 disease could inform treatment and public health planning. Here, the authors develop and validate a risk prediction model for COVID-19 mortality in Israel by building a model for severe respiratory infection and recalibrating it using COVID-19...

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Bibliographic Details
Main Authors: Noam Barda, Dan Riesel, Amichay Akriv, Joseph Levy, Uriah Finkel, Gal Yona, Daniel Greenfeld, Shimon Sheiba, Jonathan Somer, Eitan Bachmat, Guy N. Rothblum, Uri Shalit, Doron Netzer, Ran Balicer, Noa Dagan
Format: Article
Language:English
Published: Nature Publishing Group 2020-09-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-18297-9

Internet

https://doi.org/10.1038/s41467-020-18297-9

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