Ring vaccination is a mitigation strategy that consists in seeking and vaccinating the contacts of a sick patient, in order to provide immunization and halt the spread of disease. We study an extension of the susceptible-infected-recovered (SIR) epidemic model with ring vaccination in complex and spatial networks. Previously, a correspondence between this model and a link percolation process has been established, however, this is only valid in complex networks. Here, we propose that the SIR model with ring vaccination is equivalent to a mixed percolation process of links and nodes, which offers a more complete description of the process. We verify that this approach is valid in both complex and spatial networks, the latter being built accor...
Advances in the fields of mathematics, physics, epidemiology, and computing have led to an incredibl...
Abstract:- The paper propose a model for complex networks with scale-free degree distribution in whi...
It is commonly believed that epidemic spreading on scale-free networks is difficult to control and t...
In this paper, a new susceptible-infected-susceptible (SIS) model on complex networks with imperfect...
: We compared seven node vaccination strategies in twelve real-world complex networks. The node vacc...
In this work we propose and investigate a strategy of vaccination which we call "dynamic vaccination...
The immunization strategies through contact tracing on the susceptible-infected-recovered framework ...
The resurgence of measles is largely attributed to the decline in vaccine adoption and the increase ...
In many real-world complex systems, individuals have many kinds of interactions among them, suggesti...
The problem of targeted network immunization can be defined as the one of finding a subset of nodes ...
We study the behavior of epidemic spreading in networks, and, in particular, scale free networks. We...
A modified version of susceptible-infected-recovered- susceptible (SIRS) model for the outbreaks of ...
In this paper we conduct a simulation study of the spread of an epidemic like COVID-19 with temporar...
We consider an SIR model with vaccination strategy on a sparse configuration model random graph. We ...
The recurrent infectious diseases and their increasing impact on the society has promoted the study ...
Advances in the fields of mathematics, physics, epidemiology, and computing have led to an incredibl...
Abstract:- The paper propose a model for complex networks with scale-free degree distribution in whi...
It is commonly believed that epidemic spreading on scale-free networks is difficult to control and t...
In this paper, a new susceptible-infected-susceptible (SIS) model on complex networks with imperfect...
: We compared seven node vaccination strategies in twelve real-world complex networks. The node vacc...
In this work we propose and investigate a strategy of vaccination which we call "dynamic vaccination...
The immunization strategies through contact tracing on the susceptible-infected-recovered framework ...
The resurgence of measles is largely attributed to the decline in vaccine adoption and the increase ...
In many real-world complex systems, individuals have many kinds of interactions among them, suggesti...
The problem of targeted network immunization can be defined as the one of finding a subset of nodes ...
We study the behavior of epidemic spreading in networks, and, in particular, scale free networks. We...
A modified version of susceptible-infected-recovered- susceptible (SIRS) model for the outbreaks of ...
In this paper we conduct a simulation study of the spread of an epidemic like COVID-19 with temporar...
We consider an SIR model with vaccination strategy on a sparse configuration model random graph. We ...
The recurrent infectious diseases and their increasing impact on the society has promoted the study ...
Advances in the fields of mathematics, physics, epidemiology, and computing have led to an incredibl...
Abstract:- The paper propose a model for complex networks with scale-free degree distribution in whi...
It is commonly believed that epidemic spreading on scale-free networks is difficult to control and t...