The Rapid Assessment and Early Warning Models for COVID-19

• 作者: Jing Li Wenjun Liu Xiaodong Tian Ying Cao Yue Gong Zhihua Bai
• 来源期刊: 中国病毒学
• 年，卷（期）: 2020,（3）
• 页码范围: 272-279
• 页数: 8页
• 语种: 英文

摘要

Human beings have experienced a serious public health event as the new pneumonia (COVID-19),caused by the severe acute respiratory syndrome coronavirus has killed more than 3000 people in China,most of them elderly or people with underlying chronic diseases or immunosuppressed states.Rapid assessment and early warning are essential for outbreak analysis in response to serious public health events.This paper reviews the current model analysis methods and conclusions from both micro and macro perspectives.The establishment of a comprehensive assessment model,and the use of model analysis prediction,is very efficient for the early warning of infectious diseases.This would significantly improve global surveillance capacity,particularly in developing regions,and improve basic training in infectious diseases and molecular epidemiology.

作者信息

序号	姓名	单位	发文数	被引次数	H指数	G指数
1	Zhihua Bai	中国科学院微生物研究所	1	0	0.0	0.0
2	Yue Gong	中国科学院微生物研究所	1	0	0.0	0.0
3	Xiaodong Tian	中国科学院微生物研究所	1	0	0.0	0.0
4	Ying Cao	中国科学院微生物研究所	1	0	0.0	0.0
5	Wenjun Liu	中国科学院微生物研究所	1	0	0.0	0.0
6	Jing Li	中国科学院微生物研究所	1	0	0.0	0.0