Predictive Accuracy of COVID-19 World Health Organization (WHO) Severity Classification and Comparison with a Bayesian-Method-Based Severity Score (EPI-SCORE)

<b>Objectives:</b> Assess the predictive accuracy of the WHO COVID-19 severity classification on COVID-19 hospitalized patients. The secondary aim was to compare its predictive power with a new prediction model, named COVID-19 EPI-SCORE, based on a Bayesian network analysis. <b>Methods:</b> We retro...

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Detalhes bibliográficos

Principais autores:	Christophe de Terwangne, Jabber Laouni, Lionel Jouffe, Jerome R. Lechien, Vincent Bouillon, Sammy Place, Lucio Capulzini, Shahram Machayekhi, Antonia Ceccarelli, Sven Saussez, Antonio Sorgente, on behalf of EPIBASE TEAM
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2020-10-01
coleção:	Pathogens
Assuntos:	severity score coronavirus SARS-COV-2 COVID-19 WHO
Acesso em linha:	https://www.mdpi.com/2076-0817/9/11/880
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