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Infectious disease modelling and the dynamics of the active cases - Software

Mauro E. Dinardo

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.

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CoViD-19.py
md5:af4d63d5fcaee6b8f450c82d320a4f1e 		27.8 kB Download
evolution.py
md5:16761dece76b4d04ce41d3215c8f6b18 		16.1 kB Download
pyWget.py
md5:b5ccbef9e9b51cf006b53cb478580e10 		822 Bytes Download
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Publication date:
April 19, 2020
DOI:
10.15161/oar.it/30434

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10.15161/oar.it/30434

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Keyword(s):
epidemiology
Related identifiers:
Documented by:
10.15161/oar.it/30436
Supplementary material:
10.15161/oar.it/30435
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License (for files):
GNU Affero General Public License v3

Versions

Version 9 10.15161/oar.it/73220 Apr 19, 2020
Version 8 10.15161/oar.it/30662 Apr 19, 2020
Version 7 10.15161/oar.it/30434 Apr 19, 2020
Version 6 10.15161/oar.it/23657 Apr 19, 2020
Version 5 10.15161/oar.it/23655 Apr 19, 2020
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Cite all versions? You can cite all versions by using the DOI 10.15161/oar.it/23587. This DOI represents all versions, and will always resolve to the latest one.

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