Epidemic evolution models to the test of Covid-19
| Autor: | Brandi, Primo, Ceppitelli, Rita, Salvadori, Anna |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
2019-20 coronavirus outbreak
Iterative and incremental development Mathematical models 65D05 Coronavirus disease 2019 (COVID-19) Mathematical model Computer science business.industry General Mathematics Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) 68N01 Epidemic evolution dynamic Machine learning computer.software_genre Article Fitting data Test (assessment) 92D30 Iterative process Artificial intelligence Adaptation (computer science) business computer |
| Zdroj: | Bollettino Della Unione Matematica Italiana (2008) Bollettino dellUnione Matematica Italiana |
| ISSN: | 2198-2759 |
| Popis: | We illustrate a suitable adaptation and modification of classical epidemic evolution models that proves helpful in the study of Covid-19 spread in Italy. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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