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Methodological challenges of analysing COVID-19 data during the pandemic.

作者信息

Wolkewitz Martin, Puljak Livia

机构信息

Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, 79104, Freiburg, Germany.

Center for Evidence-Based Medicine and Health Care, Catholic University of Croatia, Ilica 242, 10000, Zagreb, Croatia.

出版信息

BMC Med Res Methodol. 2020 Apr 14;20(1):81. doi: 10.1186/s12874-020-00972-6.

DOI:10.1186/s12874-020-00972-6
PMID:32290816
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7154065/
Abstract
摘要

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2
Epidemiologic Features and Clinical Course of Patients Infected With SARS-CoV-2 in Singapore.新加坡 2019 年新型冠状病毒肺炎患者的流行病学特征和临床病程
JAMA. 2020 Apr 21;323(15):1488-1494. doi: 10.1001/jama.2020.3204.
3
On the use of corticosteroids for 2019-nCoV pneumonia.关于皮质类固醇在2019新型冠状病毒肺炎中的应用。
Lancet. 2020 Feb 29;395(10225):683-684. doi: 10.1016/S0140-6736(20)30361-5. Epub 2020 Feb 12.
4
Clinical Characteristics of Coronavirus Disease 2019 in China.《中国 2019 年冠状病毒病临床特征》
N Engl J Med. 2020 Apr 30;382(18):1708-1720. doi: 10.1056/NEJMoa2002032. Epub 2020 Feb 28.
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Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study.中国武汉严重 COVID-19 患者的临床病程和结局:一项单中心、回顾性、观察性研究。
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Clinical findings in a group of patients infected with the 2019 novel coronavirus (SARS-Cov-2) outside of Wuhan, China: retrospective case series.一组在中国武汉以外地区感染 2019 年新型冠状病毒(SARS-CoV-2)的患者的临床特征:回顾性病例系列。
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