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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/2198| Real-time estimation and prediction of mortality caused by COVID-19 with patient information based algorithm | |
| 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. | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| 10.1016/j.scitotenv.2020.138394 | |
| Highlights•The mortality rate determines whether a highly infectious disease becomes a public concern.•Summarizing information after the fact does not contribute to real-time readiness to deal with the disease.•The Patient Information Based Algorithm (PIBA) estimates the death rate of a disease in real-time.•PIBA can be used to estimate the death rate of a new infectious disease in real time and to predict future deaths. | |
| Science of The Total Environment | |
| 2020 | |
| Artículo | |
| https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7139242/pdf/main.pdf | |
| Inglés | |
| VIRUS RESPIRATORIOS | |
| Aparece en las colecciones: | Artículos científicos |
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| Fichero | Tamaño | Formato | |
|---|---|---|---|
| 1101263.pdf | 2.36 MB | Adobe PDF | Visualizar/Abrir |