Por favor, use este identificador para citar o enlazar este ítem:
http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/8803| Covid-19 Epidemiological Factor Analysis: Identifying Principal Factors with Machine Learning | |
| Serge Dolgikh | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| https://doi.org/10.1101/2020.06.01.20119560 | |
| https://www.medrxiv.org/content/10.1101/2020.06.01.20119560v1 | |
| Based on a subset of Covid-19 Wave 1 cases at a time point near TZ+3m (April, 2020), we perform an analysis of the influencing factors for the epidemics impacts with several different statistical methods. The consistent conclusion of the analysis with the available data is that apart from the policy and management quality, being the dominant factor, the most influential factors among the considered were current or recent universal BCG immunization and the prevalence of smoking. | |
| bioRxiv | |
| 05-06-2020 | |
| Preimpreso | |
| Inglés | |
| Público en general | |
| VIRUS RESPIRATORIOS | |
| Aparece en las colecciones: | Materiales de Consulta y Comunicados Técnicos |
Cargar archivos:
| Fichero | Tamaño | Formato | |
|---|---|---|---|
| Covid-19 Epidemiological Factor Analysis_ Identifying Principal Factors with Machine Learning.pdf | 267.36 kB | Adobe PDF | Visualizar/Abrir |