Cite
Early prediction and identification for severe patients during the pandemic of COVID-19: A severe COVID-19 risk model constructed by multivariate logistic regression analysis
MLA
Yage Wang, et al. “Early Prediction and Identification for Severe Patients during the Pandemic of COVID-19: A Severe COVID-19 Risk Model Constructed by Multivariate Logistic Regression Analysis.” Journal of Global Health, vol. 10, no. 2, Oct. 2020. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....dc132c0960bce627959b8af3c40dd55c&authtype=sso&custid=ns315887.
APA
Yage Wang, Yan-Yan Zhao, Wen Kang, Hong Du, Ye Zhang, Chunfu Wang, Jing Li, Haifeng Hu, Jian-Qi Lian, Gufen Zhang, & Xiaoqing Wu. (2020). Early prediction and identification for severe patients during the pandemic of COVID-19: A severe COVID-19 risk model constructed by multivariate logistic regression analysis. Journal of Global Health, 10(2).
Chicago
Yage Wang, Yan-Yan Zhao, Wen Kang, Hong Du, Ye Zhang, Chunfu Wang, Jing Li, et al. 2020. “Early Prediction and Identification for Severe Patients during the Pandemic of COVID-19: A Severe COVID-19 Risk Model Constructed by Multivariate Logistic Regression Analysis.” Journal of Global Health 10 (2). http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....dc132c0960bce627959b8af3c40dd55c&authtype=sso&custid=ns315887.