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Review
. 2020 Jun;35(3):272-279.
doi: 10.1007/s12250-020-00219-0. Epub 2020 Apr 1.

The Rapid Assessment and Early Warning Models for COVID-19

Zhihua Bai  1   2 , Yue Gong  3 , Xiaodong Tian  1 , Ying Cao  1 , Wenjun Liu  1   2   4 , Jing Li  5
Affiliations
Review

The Rapid Assessment and Early Warning Models for COVID-19

Zhihua Bai et al. Virol Sin. 2020 Jun.

Abstract

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.

Keywords: COVID-19; Early warning; Models; Rapid assessment; SARS-CoV-2.

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Conflict of interest statement

The authors declare that they have no conflict of interest.

Figures

Fig. 1
Fig. 1
Prediction of susceptible hosts, and date refers to the publication date of the preprint article.
Fig. 2
Fig. 2
Mathematical model for transmission dynamics analysis for macroscopic analysis.
See this image and copyright information in PMC

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