Non-analytic behaviour in large-deviations of the susceptible-infected-recovered model under the influence of lockdowns
We numerically investigate the dynamics of an SIR model with infection level-based lockdowns on Small-World networks. Using a large-deviation approach, namely the Wang–Landau algorithm, we study the distribution of the cumulative fraction of infected individuals. We are able to resolve the density o...
Main Authors: | Leo Patrick Mulholland, Yannick Feld, Alexander K Hartmann |
---|---|
Format: | Article |
Language: | English |
Published: |
IOP Publishing
2023-01-01
|
Series: | New Journal of Physics |
Subjects: | |
Online Access: | https://doi.org/10.1088/1367-2630/ad0991 |
Similar Items
-
Global Stability Analysis of Susceptible, Infected, Recovered (S, I, R) Model Measles Vaccination Based on Age
by: Juhari Juhari, et al.
Published: (2023-11-01) -
An Accurate Analytical-Numerical Iterative Method for the Susceptible-Infected-Recovered Epidemic Models
by: Sudi Mungkasi
Published: (2021-10-01) -
Improved susceptible–infectious–susceptible epidemic equations based on uncertainties and autocorrelation functions
by: Gilberto M. Nakamura, et al.
Published: (2020-02-01) -
Study, suspend and optimization a spread of epidemic infections. The dynamic Monte Carlo approach
by: Gennadiy Burlak
Published: (2020-10-01) -
Epidemic spreading
by: Tânia Tomé, et al.
Published: (2020-09-01)