Since Kermack and McKendrick have introduced their famous epidemiological SIR model in 1927, mathematical epidemiology has grown as an interdisciplinary research discipline including knowledge from biology, computer science, or mathematics. Due to current threatening epidemics such as COVID-19, this interest is continuously rising. As our main goal, we establish an implicit time-discrete SIR (susceptible people–infectious people–recovered people) model. For this purpose, we first introduce its continuous variant with time-varying transmission and recovery rates and, as our first contribution, discuss thoroughly its properties. With respect to these results, we develop different possible time-discrete SIR models, we derive our implicit time-...
A classic two-parameter epidemiological SIR-model of the coronavirus propagation is considered. The ...
We generalise the epidemic Renormalization Group framework while connecting it to a SIR model with t...
We generalise the epidemic Renormalization Group framework while connecting it to a SIR model with t...
We investigate an epidemic model based on Bailey's continuous differential system. In the continuous...
We investigate an epidemic model based on Bailey\u27s continuous differential system. In the continu...
Since age and sex play an important role in transmission of diseases, we propose a SIR (susceptible-...
Since age and sex play an important role in transmission of diseases, we propose a SIR (susceptible-...
In this study, we address an SIR (susceptible-infected-recovered) model that is given as a system of...
AbstractIn this paper, we consider the permanence of a discrete SIRS epidemic model with time delays...
In this talk, we formulate SIR (susceptible-infected-recovered) and SIS (susceptible- infected-susce...
During the evolution of the COVID-19 pandemic, each country has adopted different control measures t...
International audienceThe discrete SIR (Susceptible-Infected-Recovered) model is used in many studie...
International audienceThe discrete SIR (Susceptible-Infected-Recovered) model is used in many studie...
International audienceThe discrete SIR (Susceptible-Infected-Recovered) model is used in many studie...
In the study of disease dynamics SIR (Susceptible-InfectedRecovered) models have a great importance....
A classic two-parameter epidemiological SIR-model of the coronavirus propagation is considered. The ...
We generalise the epidemic Renormalization Group framework while connecting it to a SIR model with t...
We generalise the epidemic Renormalization Group framework while connecting it to a SIR model with t...
We investigate an epidemic model based on Bailey's continuous differential system. In the continuous...
We investigate an epidemic model based on Bailey\u27s continuous differential system. In the continu...
Since age and sex play an important role in transmission of diseases, we propose a SIR (susceptible-...
Since age and sex play an important role in transmission of diseases, we propose a SIR (susceptible-...
In this study, we address an SIR (susceptible-infected-recovered) model that is given as a system of...
AbstractIn this paper, we consider the permanence of a discrete SIRS epidemic model with time delays...
In this talk, we formulate SIR (susceptible-infected-recovered) and SIS (susceptible- infected-susce...
During the evolution of the COVID-19 pandemic, each country has adopted different control measures t...
International audienceThe discrete SIR (Susceptible-Infected-Recovered) model is used in many studie...
International audienceThe discrete SIR (Susceptible-Infected-Recovered) model is used in many studie...
International audienceThe discrete SIR (Susceptible-Infected-Recovered) model is used in many studie...
In the study of disease dynamics SIR (Susceptible-InfectedRecovered) models have a great importance....
A classic two-parameter epidemiological SIR-model of the coronavirus propagation is considered. The ...
We generalise the epidemic Renormalization Group framework while connecting it to a SIR model with t...
We generalise the epidemic Renormalization Group framework while connecting it to a SIR model with t...