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Haifeng Hu

Dados Biográficos

ID8398952
NOMEHaifeng Hu
PRENOMESHaifeng
SOBRENOMEHu
ASSINATURAHU H
AFILIAÇÕESAir Force Medical University
ORCID0000-0002-4884-323X
VERIFICADOSim
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2020
ANO MAIS RECENTE DE PUBLICAÇÃO2020
ÍNDICE H0
  • Early prediction and identification for severe patients during the pandemic of Covid-19

    Open Access•Haifeng Hu, Hong Du et al.•ARTICLE•Journal of Global Health•2020

    BACKGROUND: As an emergent and fulminant infectious disease, Corona Virus Disease 2019 (COVID-19) has caused a worldwide pandemic. The early identification and timely treatment of severe patients are crucial to reducing the mortality of COVID-19. This study aimed to investigate the clinical characteristics and early predictors for severe COVID-19, and to establish a prediction model for the identification and triage of severe patients. METHODS: A…

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  • Early prediction and identification for severe patients during the pandemic of Covid-19

    Open Access•Haifeng Hu, Hong Du et al.•ARTICLE•Journal of Global Health•2020

    BACKGROUND: As an emergent and fulminant infectious disease, Corona Virus Disease 2019 (COVID-19) has caused a worldwide pandemic. The early identification and timely treatment of severe patients are crucial to reducing the mortality of COVID-19. This study aimed to investigate the clinical characteristics and early predictors for severe COVID-19, and to establish a prediction model for the identification and triage of severe patients. METHODS: A…

2019-20 coronavirus outbreak (1 obras) · Biology (1 obras) · COVID-19 Clinical Research Studies (1 obras) · COVID-19 Impact on Reproduction (1 obras) · Disease (1 obras) · Internal Medicine (1 obras) · Logistic regression (1 obras) · Mathematics (1 obras) · Medicine (1 obras) · Multivariate analysis (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae