A Markov chain individual-based model for virus diffusion is investigated. Both the virus growth within an individual and the complexity of the contagion within a population are taken into account. A careful work of parameter choice is performed. The model captures very well the statistical variability of quantities like the incubation period, the serial interval and the time series of infected people in Tuscany towns
Influenza is one of the most common and severe diseases worldwide. Devastating epidemics actuated by...
Over the years, various parts of the world have experienced disease outbreaks. Mathematical models a...
This study is one of the few that has dwell on the application of Markov Chain in modeling infectiou...
The goal of this work is to develop a mathematical model to analyze the spread of COVID-19 infection...
In this work we show two different approaches to model virus spread in a large population of individ...
In this paper we propose a continuous-time Markov chain to describe the spread of an infective and n...
In this paper we propose a continuous-time Markov chain to describe the spread of an infective and n...
Many human virus infections including those with the human immunodeficiency virus type 1 (HIV) are i...
Presentation given at the Southern Georgia Mathematics Conference. Abstract Booklet According to the...
In this bachelor thesis we propose a spatial Markov Chain Cellular Automatamodel for the spread of t...
[Abstract]: In this article we mainly extend a newly introduced deterministic model for the COVID-19...
Influenza is one of the most common and severe diseases worldwide. Devastating epidemics actuated by...
We present three data driven model-types for COVID-19 with a minimal number of parameters to provide...
Influenza is one of the most common and severe diseases worldwide. Devastating epidemics actuated by...
Influenza is one of the most common and severe diseases worldwide. Devastating epidemics actuated by...
Influenza is one of the most common and severe diseases worldwide. Devastating epidemics actuated by...
Over the years, various parts of the world have experienced disease outbreaks. Mathematical models a...
This study is one of the few that has dwell on the application of Markov Chain in modeling infectiou...
The goal of this work is to develop a mathematical model to analyze the spread of COVID-19 infection...
In this work we show two different approaches to model virus spread in a large population of individ...
In this paper we propose a continuous-time Markov chain to describe the spread of an infective and n...
In this paper we propose a continuous-time Markov chain to describe the spread of an infective and n...
Many human virus infections including those with the human immunodeficiency virus type 1 (HIV) are i...
Presentation given at the Southern Georgia Mathematics Conference. Abstract Booklet According to the...
In this bachelor thesis we propose a spatial Markov Chain Cellular Automatamodel for the spread of t...
[Abstract]: In this article we mainly extend a newly introduced deterministic model for the COVID-19...
Influenza is one of the most common and severe diseases worldwide. Devastating epidemics actuated by...
We present three data driven model-types for COVID-19 with a minimal number of parameters to provide...
Influenza is one of the most common and severe diseases worldwide. Devastating epidemics actuated by...
Influenza is one of the most common and severe diseases worldwide. Devastating epidemics actuated by...
Influenza is one of the most common and severe diseases worldwide. Devastating epidemics actuated by...
Over the years, various parts of the world have experienced disease outbreaks. Mathematical models a...
This study is one of the few that has dwell on the application of Markov Chain in modeling infectiou...