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
md5:62a3a667106d745fb49246ab8fb8f9f5 |
29.9 kB | Download |
evolution.py
md5:b4bbbb799c47d7dbf70d725c554a1208 |
18.3 kB | Download |
pyWget.py
md5:0daceff4fdd62c39e066e2a585866206 |
808 Bytes | Download |
All versions | This version | |
---|---|---|
Views | 560 | 79 |
Downloads | 361 | 30 |
Data volume | 5.2 MB | 559.7 kB |
Unique views | 236 | 53 |
Unique downloads | 82 | 14 |