The Rapid Assessment and Early Warning Models for COVID-19.
Aged
Animals
Betacoronavirus
/ pathogenicity
COVID-19
China
/ epidemiology
Chronic Disease
Coronavirus Infections
/ epidemiology
Disease Outbreaks
Forecasting
Humans
Immunocompromised Host
Molecular Epidemiology
Pandemics
/ prevention & control
Pneumonia, Viral
/ epidemiology
Public Health
Risk Factors
SARS-CoV-2
COVID-19
Early warning
Models
Rapid assessment
SARS-CoV-2
Journal
Virologica Sinica
ISSN: 1995-820X
Titre abrégé: Virol Sin
Pays: Netherlands
ID NLM: 101514185
Informations de publication
Date de publication:
Jun 2020
Jun 2020
Historique:
received:
08
03
2020
accepted:
27
03
2020
pubmed:
3
4
2020
medline:
17
7
2020
entrez:
3
4
2020
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 32239446
doi: 10.1007/s12250-020-00219-0
pii: 10.1007/s12250-020-00219-0
pmc: PMC7110270
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
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