scholarly journals SI Epidemic Model Applied to COVID-19 Data in Mainland China

2021 ◽  
Author(s):  
Jacques Demongeot ◽  
Quentin Griette ◽  
Pierre Magal
2020 ◽  
Author(s):  
J. Demongeot ◽  
Q. Griette ◽  
P. Magal

AbstractThe article is devoted to the parameters identification in the SI model. We consider several methods, starting with an exponential fit of the early cumulative data of Sars-CoV2 in mainland China. The present methodology provides a way to compute the parameters at the early stage of the epidemic. Next, we establish an identifiability result. Then we use the Bernoulli-Verhulst model as a phenomenological model to fit the data and derive some results on the parameters identification. The last part of the paper is devoted to some numerical algorithms to fit a daily piecewise constant rate of transmission.


2020 ◽  
Vol 7 (12) ◽  
pp. 201878
Author(s):  
J. Demongeot ◽  
Q. Griette ◽  
P. Magal

The article is devoted to the parameters identification in the SI model. We consider several methods, starting with an exponential fit to the early cumulative data of SARS-CoV2 in mainland China. The present methodology provides a way to compute the parameters at the early stage of the epidemic. Next, we establish an identifiability result. Then we use the Bernoulli–Verhulst model as a phenomenological model to fit the data and derive some results on the parameters identification. The last part of the paper is devoted to some numerical algorithms to fit a daily piecewise constant rate of transmission.


Asian Survey ◽  
1970 ◽  
Vol 10 (9) ◽  
pp. 820-839
Author(s):  
Patrick Yeung
Keyword(s):  

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