Some analytical results are given for a model that describes the propagation of a disease in a population of individuals who travel between n cities. The model is formulated as a system of 2n2 ordinary differential equations, with terms accounting for disease transmission, recovery, birth, death, and travel between cities. The mobility component is represented as a directed graph with cities as vertices and arcs determined by outgoing (or return) travel. An explicit formula that can be used to compute the basic reproduction number, R0; is obtained, and explicit bounds on R0 are determined in the case of homogeneous contacts between individuals within each city. Numerical simulations indicate that R0 is a sharp threshold, with the disease dy...
Epidemic modeling is an important theoretical approach for investigating the transmission dynamics o...
This work addresses the spread of a disease within an urban system, defined as a network of intercon...
In this paper, we study the dynamical behaviour of an epidemic on complex networks with population m...
A modelling approach is used for studying the effects of population vaccination on the epidemic dyna...
A two-city SIR epidemic model with transport-related infections is proposed. Some good analytical re...
This dissertation focuses on developing a series of mathematical models to understand the role of ur...
In this paper, we propose a novel space-dependent multiscale model for the spread of infectious dise...
This thesis presents an original model of the geographic spread of disease. The model can represent ...
The SIR (susceptible-infectious-recovered) model is a well known method for predicting the number of...
Abstract. Metapopulation models describing cities with different populations coupled by the travel o...
Outbreaks of infectious diseases can devastate a population. Researchers thus study the spread of an...
We present a compartmental SIR (susceptible–infected–recovered) model to describe the propagation of...
This Master Thesis proposes a new mathematical method for modelling infectious diseases that spread ...
In this paper we create a new model of disease transmission that combines a branching process from e...
In modern societies, newly emerging infectious diseases spread rapidly between regions owing to freq...
Epidemic modeling is an important theoretical approach for investigating the transmission dynamics o...
This work addresses the spread of a disease within an urban system, defined as a network of intercon...
In this paper, we study the dynamical behaviour of an epidemic on complex networks with population m...
A modelling approach is used for studying the effects of population vaccination on the epidemic dyna...
A two-city SIR epidemic model with transport-related infections is proposed. Some good analytical re...
This dissertation focuses on developing a series of mathematical models to understand the role of ur...
In this paper, we propose a novel space-dependent multiscale model for the spread of infectious dise...
This thesis presents an original model of the geographic spread of disease. The model can represent ...
The SIR (susceptible-infectious-recovered) model is a well known method for predicting the number of...
Abstract. Metapopulation models describing cities with different populations coupled by the travel o...
Outbreaks of infectious diseases can devastate a population. Researchers thus study the spread of an...
We present a compartmental SIR (susceptible–infected–recovered) model to describe the propagation of...
This Master Thesis proposes a new mathematical method for modelling infectious diseases that spread ...
In this paper we create a new model of disease transmission that combines a branching process from e...
In modern societies, newly emerging infectious diseases spread rapidly between regions owing to freq...
Epidemic modeling is an important theoretical approach for investigating the transmission dynamics o...
This work addresses the spread of a disease within an urban system, defined as a network of intercon...
In this paper, we study the dynamical behaviour of an epidemic on complex networks with population m...