Add to ORKGIn this paper, we propose an SEIQR-SIS epidemic network model to study pandemic influenza and derive the approximate threshold condition (basis reproductive number) to examine the stability of the model. The numerical simulation of the disease transmission in the adaptive social network with people nodes and hub nodes is presented. The network parameters including visiting probability, hub radius and contact radius are used to investigate their impacts on the disease transmission. Our results show that these network parameters have a significant effect on the disease spread
Abstract. Focus on describing the transmission of infectious disease, this paper mainly develop a ne...
Simulation is increasingly being used to examine epidemic behaviour and assess potential management ...
Contagious diseases and their impacts can be modulated to a higher extent by implementing proper mat...
This paper aims to present an SIS-SEIQR network model for pandemic influenza. We propose a network a...
An adaptive complex network based on a susceptible–exposed–infectious–quarantine–recovered (SEIQR) f...
In social networks, the age and the region of individuals are the two most important factors in mode...
Over the past century, mathematical epidemiology has grown to be one of the triumphs of applied math...
Epidemiological models are used to inform health policy on issues such as target vaccination levels,...
Abstract The phenomenon of epidemic spreading in a population with a hierarchical structure of inter...
Spreading processes are ubiquitous in nature and societies, e.g. spreading of diseases and computer ...
Epidemiology is the study of how and why an infectious disease occurs in a group of people. Several ...
When we inspect a disease, the social structure may be important for how a disease spread. The peopl...
In this paper, we propose and study an SIS epidemic model with clustering characteristics based on n...
Abstract This paper aims to investigate the effects of human behavior and contact heterogeneity on t...
In epidemic modeling, the Susceptible-Alert-Infected-Susceptible (SAIS) model extends the ...
Abstract. Focus on describing the transmission of infectious disease, this paper mainly develop a ne...
Simulation is increasingly being used to examine epidemic behaviour and assess potential management ...
Contagious diseases and their impacts can be modulated to a higher extent by implementing proper mat...
This paper aims to present an SIS-SEIQR network model for pandemic influenza. We propose a network a...
An adaptive complex network based on a susceptible–exposed–infectious–quarantine–recovered (SEIQR) f...
In social networks, the age and the region of individuals are the two most important factors in mode...
Over the past century, mathematical epidemiology has grown to be one of the triumphs of applied math...
Epidemiological models are used to inform health policy on issues such as target vaccination levels,...
Abstract The phenomenon of epidemic spreading in a population with a hierarchical structure of inter...
Spreading processes are ubiquitous in nature and societies, e.g. spreading of diseases and computer ...
Epidemiology is the study of how and why an infectious disease occurs in a group of people. Several ...
When we inspect a disease, the social structure may be important for how a disease spread. The peopl...
In this paper, we propose and study an SIS epidemic model with clustering characteristics based on n...
Abstract This paper aims to investigate the effects of human behavior and contact heterogeneity on t...
In epidemic modeling, the Susceptible-Alert-Infected-Susceptible (SAIS) model extends the ...
Abstract. Focus on describing the transmission of infectious disease, this paper mainly develop a ne...
Simulation is increasingly being used to examine epidemic behaviour and assess potential management ...
Contagious diseases and their impacts can be modulated to a higher extent by implementing proper mat...