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Improved Epidemic Dynamics Model and Its Prediction for COVID-19 in Italy.

Authors :
Wang, Han
Xu, Kang
Li, Zhongyi
Pang, Kexin
He, Hua
Source :
Applied Sciences (2076-3417); 7/15/2020, Vol. 10 Issue 14, p4930, 12p
Publication Year :
2020

Abstract

The outbreak of coronavirus disease 2019 (COVID-19) has become a global public health crisis due to its high contagious characteristics. In this article, we propose a new epidemic-dynamics model combining the transmission characteristics of COVID-19 and then use the reported epidemic data from 15 February to 30 June to simulate the spread of the Italian epidemic. Numerical simulations showed that (1) there was a remarkable amount of asymptomatic individuals; (2) the lockdown measures implemented by Italy effectively controlled the spread of the outbreak; (3) the Italian epidemic has been effectively controlled, but SARS-CoV-2 will still exist for a long time; and (4) the intervention of the government is an important factor that affects the spread of the epidemic. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20763417
Volume :
10
Issue :
14
Database :
Complementary Index
Journal :
Applied Sciences (2076-3417)
Publication Type :
Academic Journal
Accession number :
144773961
Full Text :
https://doi.org/10.3390/app10144930