The main task of the health care system in any country is to control the spread of infectious diseases. The social consequences, as well as the material losses, strongly demonstrate the need to predict the occurrence of epidemics. Measles is one of the most contagious diseases. In Ukraine, according to the Public Health Center of the Ministry of Health of Ukraine, more than 115,000 people have contracted measles since summer 2017, 41 of whom have died [1]. Simulation of the measles spreading allows to predict new outbreaks of measles and evaluate the strategy to prevent them
The simplest epidemiologic model composed by mutually exclusive compartments SIR (susceptible-infec...
Due to the recent threatening pandemic COVID-19, the research area of this disease is increasing. Th...
We proposed a mathematical model of measles disease dynamics with vaccination by considering the tot...
This study developed a model for the spread of measles based on the SEIR model by adding the factors...
Introduction: In this thesis we propose a mathematical model for the spread of measles in a closed...
In this paper the problem of modeling and controlling the measles epidemic spread is faced. A new mo...
This study discusses the behavior analysis model of the Susceptible-Infected-Recovered (SIR) epidemi...
This study discusses the behavior analysis model of the Susceptible-Infected-Recovered (SIR) epidemi...
Epidemic models for the spread of infectious diseases are mathematical models that try to explain th...
This paper is concerned with the SIR model of Infectious diseases. Math- ematical models based on th...
The purpose of this project is to quantitatively investigate vaccination strategies to prevent measl...
The SIR (susceptible-infectious-recovered) model is a well known method for predicting the number of...
Introduction. Measles infection in recent years has become particularly relevant in connection with ...
Although the availability of the measles vaccine, it is still epidemic in many countries globally, i...
The SIR (Susceptible-Infected-Recovered) models are used to help predict the spread of diseases. The...
The simplest epidemiologic model composed by mutually exclusive compartments SIR (susceptible-infec...
Due to the recent threatening pandemic COVID-19, the research area of this disease is increasing. Th...
We proposed a mathematical model of measles disease dynamics with vaccination by considering the tot...
This study developed a model for the spread of measles based on the SEIR model by adding the factors...
Introduction: In this thesis we propose a mathematical model for the spread of measles in a closed...
In this paper the problem of modeling and controlling the measles epidemic spread is faced. A new mo...
This study discusses the behavior analysis model of the Susceptible-Infected-Recovered (SIR) epidemi...
This study discusses the behavior analysis model of the Susceptible-Infected-Recovered (SIR) epidemi...
Epidemic models for the spread of infectious diseases are mathematical models that try to explain th...
This paper is concerned with the SIR model of Infectious diseases. Math- ematical models based on th...
The purpose of this project is to quantitatively investigate vaccination strategies to prevent measl...
The SIR (susceptible-infectious-recovered) model is a well known method for predicting the number of...
Introduction. Measles infection in recent years has become particularly relevant in connection with ...
Although the availability of the measles vaccine, it is still epidemic in many countries globally, i...
The SIR (Susceptible-Infected-Recovered) models are used to help predict the spread of diseases. The...
The simplest epidemiologic model composed by mutually exclusive compartments SIR (susceptible-infec...
Due to the recent threatening pandemic COVID-19, the research area of this disease is increasing. Th...
We proposed a mathematical model of measles disease dynamics with vaccination by considering the tot...