Cargando…
Real-time estimation and prediction of mortality caused by COVID-19 with patient information based algorithm
The global COVID-19 outbreak is worrisome both for its high rate of spread, and the high case fatality rate reported by early studies and now in Italy. We report a new methodology, the Patient Information Based Algorithm (PIBA), for estimating the death rate of a disease in real-time using publicly...
Autores principales: | Wang, Lishi, Li, Jing, Guo, Sumin, Xie, Ning, Yao, Lan, Cao, Yanhong, Day, Sara W., Howard, Scott C., Graff, J. Carolyn, Gu, Tianshu, Ji, Jiafu, Gu, Weikuan, Sun, Dianjun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7139242/ https://www.ncbi.nlm.nih.gov/pubmed/32334207 http://dx.doi.org/10.1016/j.scitotenv.2020.138394 |
Ejemplares similares
-
The Data set for Patient Information Based Algorithm to Predict Mortality Cause by COVID-19
por: Li, Jing, et al.
Publicado: (2020) -
Variations of COVID-19 mortality are affected by economic disparities across countries
por: Yao, Lan, et al.
Publicado: (2022) -
Influenza vaccination may have only minimum or no effect on COVID-19 in the aged population
por: Yao, Lan, et al.
Publicado: (2022) -
Mortality in Four Waves of COVID-19 Is Differently Associated with Healthcare Capacities Affected by Economic Disparities
por: Yao, Lan, et al.
Publicado: (2022) -
A cost-effective plan for global testing - an infection rate stratified, algorithm guided, multiple-level, continuously pooled testing strategy
por: Gu, Tianshu, et al.
Publicado: (2021)