- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2198-2759
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Epidemic evolution models to the test of Covid-19 ; day:3 ; month:8 ; year:2020 ; pages:1-11
Bollettino dell'Unione Matematica Italiana / Unione Matematica Italiana ; (3.8.2020), 1-11
- Creator
-
Brandi, Primo
Ceppitelli, Rita
Salvadori, Anna
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s40574-020-00252-7
- URN
-
urn:nbn:de:101:1-2020092900035081264774
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:47 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Brandi, Primo
- Ceppitelli, Rita
- Salvadori, Anna
- SpringerLink (Online service)
Other Objects (12)
Covid-19 epidemic in Italy: evolution, projections and impact of government measures
Stochastic SIRC epidemic model with time-delay for COVID-19
Extended compartmental model for modeling COVID-19 epidemic in Slovenia
Latent likelihood ratio tests for assessing spatial kernels in epidemic models
ERCP during the COVID-19 epidemic
Percolation Analysis of COVID-19 Epidemic
Dynamics of a fractional order mathematical model for COVID-19 epidemic
Dynamics of a stochastic COVID-19 epidemic model with jump-diffusion
What Can We Learn from the Time Evolution of COVID‐19 Epidemic in Slovenia?
Evolution of COVID-19 dynamics in Guangdong Province, China: an endemic-epidemic modeling study
A report on COVID-19 epidemic in Pakistan using SEIR fractional model
On the Parametrization of Epidemiologic Models : Lessons from Modelling COVID-19 Epidemic
Covid-19 epidemic in Italy: evolution, projections and impact of government measures
Stochastic SIRC epidemic model with time-delay for COVID-19
Extended compartmental model for modeling COVID-19 epidemic in Slovenia
Latent likelihood ratio tests for assessing spatial kernels in epidemic models
ERCP during the COVID-19 epidemic
Percolation Analysis of COVID-19 Epidemic
Dynamics of a fractional order mathematical model for COVID-19 epidemic
Dynamics of a stochastic COVID-19 epidemic model with jump-diffusion
What Can We Learn from the Time Evolution of COVID‐19 Epidemic in Slovenia?
Evolution of COVID-19 dynamics in Guangdong Province, China: an endemic-epidemic modeling study
A report on COVID-19 epidemic in Pakistan using SEIR fractional model
On the Parametrization of Epidemiologic Models : Lessons from Modelling COVID-19 Epidemic
Covid-19 epidemic in Italy: evolution, projections and impact of government measures
Stochastic SIRC epidemic model with time-delay for COVID-19
Extended compartmental model for modeling COVID-19 epidemic in Slovenia
Latent likelihood ratio tests for assessing spatial kernels in epidemic models
ERCP during the COVID-19 epidemic
Percolation Analysis of COVID-19 Epidemic
Dynamics of a fractional order mathematical model for COVID-19 epidemic
Dynamics of a stochastic COVID-19 epidemic model with jump-diffusion
What Can We Learn from the Time Evolution of COVID‐19 Epidemic in Slovenia?
Evolution of COVID-19 dynamics in Guangdong Province, China: an endemic-epidemic modeling study
A report on COVID-19 epidemic in Pakistan using SEIR fractional model