COVID-19 severity determinants inferred through ecological and epidemiological modeling
Understanding variations in the severity of infectious diseases is essential for planning proper mitigation strategies. Determinants of COVID-19 clinical severity are commonly assessed by transverse or longitudinal studies of the fatality counts. However, the fatality counts depend both on disease c...
Enregistré dans:
Auteurs principaux: | Sofija Markovic, Andjela Rodic, Igor Salom, Ognjen Milicevic, Magdalena Djordjevic, Marko Djordjevic |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Elsevier
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/edb7e12d02004a1298fdd6b1a9b726a4 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Aplicación de grafos acíclicos dirigidos en la evaluación de un set mínimo de ajuste de confusores: un complemento al modelamiento estadístico en estudios epidemiológicos observacionales
par: Werlinger,Fabiola, et autres
Publié: (2018) - Infection ecology & epidemiology
-
Crash Injury Severity Prediction Using an Ordinal Classification Machine Learning Approach
par: Shengxue Zhu, et autres
Publié: (2021) - Norsk epidemiologi
- Epidemiologic methods