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 | |
---|---|---|
CoViD-19.py
md5:26d300b7eb073a0837a650457a9bdaea |
26.6 kB | Download |
evolution.py
md5:8585a17542bced95ee8aae5e7e77eeb6 |
15.3 kB | Download |
pyWget.py
md5:b5ccbef9e9b51cf006b53cb478580e10 |
822 Bytes | Download |
All versions | This version | |
---|---|---|
Views | 560 | 86 |
Downloads | 361 | 63 |
Data volume | 5.2 MB | 919.8 kB |
Unique views | 236 | 61 |
Unique downloads | 82 | 31 |