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...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: 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
Langue:EN
Publié: Nature Portfolio 2020
Sujets:
Q
Accès en ligne:https://doaj.org/article/b6f41c67d1bb44c58e4540ffa24f6729
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires