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Epidemic evolution models to the test of Covid-19
被引:0
|作者:
Primo Brandi
Rita Ceppitelli
Anna Salvadori
机构:
[1] University of Perugia,Department of Mathematics and Computer Sciences
来源:
关键词:
Mathematical models;
Epidemic evolution dynamic;
Iterative process;
Fitting data;
92D30;
65D05;
68N01;
D O I:
暂无
中图分类号:
学科分类号:
摘要:
We illustrate a suitable adaptation and modification of classical epidemic evolution models that proves helpful in the study of Covid-19 spread in Italy.
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页码:573 / 583
页数:10
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