The Rapid Assessment and Early Warning Models for COVID-19

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 assess...

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Bibliographic Details
Published in:Virologica Sinica 2020-06, Vol.35 (3), p.272-279
Main Authors: Bai, Zhihua, Gong, Yue, Tian, Xiaodong, Cao, Ying, Liu, Wenjun, Li, Jing
Format: Article
Language:English
Subjects:
Aged
Animals
Betacoronavirus - pathogenicity
Biochemistry
Biomedical and Life Sciences
Biomedicine
China - epidemiology
Chronic Disease
Coronavirus Infections - epidemiology
Coronavirus Infections - prevention & control
Coronavirus Infections - transmission
Coronaviruses
COVID-19
Disease Outbreaks
Epidemiology
Forecasting
Humans
Immunocompromised Host
Infectious diseases
Mathematical models
Medical Microbiology
Microbial Genetics and Genomics
Microbiology
Molecular Epidemiology
Oncology
Pandemics - prevention & control
Pneumonia, Viral - epidemiology
Pneumonia, Viral - prevention & control
Pneumonia, Viral - transmission
Public Health
Review
Risk Factors
SARS-CoV-2
Severe acute respiratory syndrome
Virology
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Summary: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.
ISSN:1674-0769
1995-820X
DOI:10.1007/s12250-020-00219-0