Software Open Access
We developed a model that tries to describe the dynamics of the spread of a disease among a population, in particular the progress of infected active cases. The model is then applied to describe Italy CoViD-19 outbreak and subsequently, we tried to predict possible scenarios.
Name | Size | |
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CoViD-19.py
md5:38c21dabd8aba7ba6bccb1b29e6299bb |
29.9 kB | Download |
evolution.py
md5:3704a86351c4c23c6247d939c8b4308f |
18.4 kB | Download |
pyWget.py
md5:0daceff4fdd62c39e066e2a585866206 |
808 Bytes | Download |
All versions | This version | |
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Views | 560 | 51 |
Downloads | 361 | 37 |
Data volume | 5.2 MB | 620.1 kB |
Unique views | 236 | 36 |
Unique downloads | 82 | 16 |