Epidemiological models and their analysis are an essential tool for studying, understanding, and controlling the spread of epidemics. It is a discipline in which we are trying to answer questions such as how long an epidemic will last, what its flow will be, or how much it will affect the population. There are a large number of models and approaches for describing these epidemics and their behavior. In this thesis, we focus on models described by a system of differential equations, and we analyze these models in terms of stability
Infectious diseases remain the greatest cause of morbidity in the United States (1) and a leading ca...
Mathematical modelling can be useful for predicting how infectious diseases progress, enabling us to...
traditional approaches to studying disease pro-gression, such as the mean fi eld approach that uses ...
Modeling of population in which an epidemic broke out has relatively big say in choos- ing a strateg...
Provides systematic coverage of the mathematical theory of modelling epidemics in populations, with ...
Spreading of infectious diseases in population is one of many phenomenons that can be described usin...
Mathematical modelling is tool for presenting objects and processes with mathematical language and m...
Epidemic models for the spread of infectious diseases are mathematical models that try to explain th...
The abrupt outbreak and transmission of biological diseases has always been a long-time concern of h...
Infectious diseases have been a persistent challenge to global health throughout history, and they c...
This paper reviews the basic components of epidemic models, and discusses some of the different ways...
Pandemics have always posed a great problem in the history of the world, leading to fatal dangers, w...
The book is a comprehensive, self-contained introduction to the mathematical modeling and analysis o...
The goal of this thesis is to develop and analyze mathematical models of respiratory infection disea...
In this thesis it is shown how the spread of infectious diseases can be described via mathematical m...
Infectious diseases remain the greatest cause of morbidity in the United States (1) and a leading ca...
Mathematical modelling can be useful for predicting how infectious diseases progress, enabling us to...
traditional approaches to studying disease pro-gression, such as the mean fi eld approach that uses ...
Modeling of population in which an epidemic broke out has relatively big say in choos- ing a strateg...
Provides systematic coverage of the mathematical theory of modelling epidemics in populations, with ...
Spreading of infectious diseases in population is one of many phenomenons that can be described usin...
Mathematical modelling is tool for presenting objects and processes with mathematical language and m...
Epidemic models for the spread of infectious diseases are mathematical models that try to explain th...
The abrupt outbreak and transmission of biological diseases has always been a long-time concern of h...
Infectious diseases have been a persistent challenge to global health throughout history, and they c...
This paper reviews the basic components of epidemic models, and discusses some of the different ways...
Pandemics have always posed a great problem in the history of the world, leading to fatal dangers, w...
The book is a comprehensive, self-contained introduction to the mathematical modeling and analysis o...
The goal of this thesis is to develop and analyze mathematical models of respiratory infection disea...
In this thesis it is shown how the spread of infectious diseases can be described via mathematical m...
Infectious diseases remain the greatest cause of morbidity in the United States (1) and a leading ca...
Mathematical modelling can be useful for predicting how infectious diseases progress, enabling us to...
traditional approaches to studying disease pro-gression, such as the mean fi eld approach that uses ...