A monotonic relationship between the variability of the infectious period and final size in pairwise epidemic modelling
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2190-5983
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
A monotonic relationship between the variability of the infectious period and final size in pairwise epidemic modelling ; volume:9 ; number:1 ; day:1 ; month:2 ; year:2019 ; pages:1-15 ; date:12.2019
Journal of mathematics in industry ; 9, Heft 1 (1.2.2019), 1-15, 12.2019
- Urheber
-
Vizi, Zsolt
Kiss, István Z.
Miller, Joel C.
Röst, Gergely
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s13362-019-0058-7
- URN
-
urn:nbn:de:101:1-2019030823580452391566
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
02.08.20252025, 04:39 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Vizi, Zsolt
- Kiss, István Z.
- Miller, Joel C.
- Röst, Gergely
- SpringerLink (Online service)
Ähnliche Objekte (12)
Epidemic threshold in pairwise models for clustered networks: closures and fast correlations
Developing vaccines against epidemic-prone emerging infectious diseases
Hopf bifurcation analysis of a delayed SEIR epidemic model with infectious force in latent and infected period
Incorporating infectious duration‐dependent transmission into Bayesian epidemic models
Pairwise classification and pairwise support vector machines
Pairwise Classification and Pairwise Support Vector Machines
The relationships between message passing, pairwise, Kermack–McKendrick and stochastic SIR epidemic models
Evaluating information management system in epidemic infectious diseases in Iran
Feature selection for monotonic classification via maximizing monotonic dependency
Non-monotonic derivations
A Low-Dimensional Network Model for an SIS Epidemic: Analysis of the Super Compact Pairwise Model
Scattering amplitudes for monopoles: pairwise little group and pairwise helicity
Epidemic threshold in pairwise models for clustered networks: closures and fast correlations
Developing vaccines against epidemic-prone emerging infectious diseases
Hopf bifurcation analysis of a delayed SEIR epidemic model with infectious force in latent and infected period
Incorporating infectious duration‐dependent transmission into Bayesian epidemic models
Pairwise classification and pairwise support vector machines
Pairwise Classification and Pairwise Support Vector Machines
The relationships between message passing, pairwise, Kermack–McKendrick and stochastic SIR epidemic models
Evaluating information management system in epidemic infectious diseases in Iran
Feature selection for monotonic classification via maximizing monotonic dependency
Non-monotonic derivations
A Low-Dimensional Network Model for an SIS Epidemic: Analysis of the Super Compact Pairwise Model
Scattering amplitudes for monopoles: pairwise little group and pairwise helicity
Epidemic threshold in pairwise models for clustered networks: closures and fast correlations
Developing vaccines against epidemic-prone emerging infectious diseases
Hopf bifurcation analysis of a delayed SEIR epidemic model with infectious force in latent and infected period
Incorporating infectious duration‐dependent transmission into Bayesian epidemic models
Pairwise classification and pairwise support vector machines
Pairwise Classification and Pairwise Support Vector Machines
The relationships between message passing, pairwise, Kermack–McKendrick and stochastic SIR epidemic models
Evaluating information management system in epidemic infectious diseases in Iran
Feature selection for monotonic classification via maximizing monotonic dependency
Non-monotonic derivations
A Low-Dimensional Network Model for an SIS Epidemic: Analysis of the Super Compact Pairwise Model