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

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/predictive-accuracy-of-covid-19-world-health-organization-who-severity/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Christophe de Terwangne,J. Laouni,Lionel Jouffe,Jérôme R. Lechien,Vincent Bouillon,Sammy Place,Lucio Capulzini,Shahram Machayekhi,Antonia Ceccarelli,Sven Saussez,Antonio Sorgente,on behalf of EPIBASE TEAM |
| Citations | 46 |
| DOI | 10.3390/pathogens9110880 |
| Fields | Health Professions,Mathematics,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2076-0817/9/11/880/pdf?version=1605237711 |
| OpenAlex ID | https://openalex.org/W3094298843 |
| PMID | 33114416 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Christophe de Terwangne](https://scholariq.org/researchers/christophe-de-terwangne/)

## Paper primary topic

- [COVID-19 epidemiological studies](https://scholariq.org/topics/covid-19-epidemiological-studies/)

## Paper topics

- [COVID-19 epidemiological studies](https://scholariq.org/topics/covid-19-epidemiological-studies/)
- [COVID-19 Clinical Research Studies](https://scholariq.org/topics/covid-19-clinical-research-studies/)
- [Disaster Response and Management](https://scholariq.org/topics/disaster-response-and-management/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.