The simplest example of a dynamic stochastic approach to the study of the distribution of the coronovirus is considered. The distribution of coronavirus outside of china is considered as a modeling object. The choice of the developed model is due to the fact that the volterra equations are used to describe the dynamics of quantities that do not go beyond the range of positive values. The investigated process and the model parameter in the work are scalar in nature. As a result of modeling, the authors predicted the spread of coronavirus in a number of countries in Europe and Asi
This paper introduces a stochastic approach to case numbers of a pandemic disease. By defining the s...
A new two-parameter kinetic equation model is proposed to describe the spatial spread of the virus i...
After the analysis and forecast of COVID-19 spreading in China, Italy, and France the WHO has declar...
Abstract The stochastic model for epidemic spreading of the novel coronavirus disease based on the d...
This paper proposes a dynamic model to describe and forecast the dynamics of the coronavirus disease...
This paper proposes a dynamic model to describe and forecast the dynamics of the coronavirus disease...
In this work, mathematical modelling of the dynamics of coronavirus COVID-19 is performed for the fo...
In this paper, a susceptible-infected-removed (SIR) model has been used to track the evolution of th...
Background: To carry out mathematical modeling of key indicators of the spread of the coronavirus ep...
The purpose of this study is to describe the outbreak of a novel coronavirus (COVID-19) and review t...
COVID-19 outbreak presents the biggest global health creases in last century. Its pandemic spread an...
The paper presents some solutions to modeling the global spread of coronaviruses on the basis of som...
During the outbreak of an epidemic, it is of immense interest to monitor the effects of containment ...
The novel Coronavirus (COVID-19) is spreading and has caused a large-scale infection in China since ...
To model the spread of COVID-19 coronavirus in Russian regions and in Moscow, a discrete logistic eq...
This paper introduces a stochastic approach to case numbers of a pandemic disease. By defining the s...
A new two-parameter kinetic equation model is proposed to describe the spatial spread of the virus i...
After the analysis and forecast of COVID-19 spreading in China, Italy, and France the WHO has declar...
Abstract The stochastic model for epidemic spreading of the novel coronavirus disease based on the d...
This paper proposes a dynamic model to describe and forecast the dynamics of the coronavirus disease...
This paper proposes a dynamic model to describe and forecast the dynamics of the coronavirus disease...
In this work, mathematical modelling of the dynamics of coronavirus COVID-19 is performed for the fo...
In this paper, a susceptible-infected-removed (SIR) model has been used to track the evolution of th...
Background: To carry out mathematical modeling of key indicators of the spread of the coronavirus ep...
The purpose of this study is to describe the outbreak of a novel coronavirus (COVID-19) and review t...
COVID-19 outbreak presents the biggest global health creases in last century. Its pandemic spread an...
The paper presents some solutions to modeling the global spread of coronaviruses on the basis of som...
During the outbreak of an epidemic, it is of immense interest to monitor the effects of containment ...
The novel Coronavirus (COVID-19) is spreading and has caused a large-scale infection in China since ...
To model the spread of COVID-19 coronavirus in Russian regions and in Moscow, a discrete logistic eq...
This paper introduces a stochastic approach to case numbers of a pandemic disease. By defining the s...
A new two-parameter kinetic equation model is proposed to describe the spatial spread of the virus i...
After the analysis and forecast of COVID-19 spreading in China, Italy, and France the WHO has declar...