Basing on existence of the mathematically sequential reduction of the three-compartmental (SusceptibleInfected-Recovered/Removed) model to the Verhulst (logistic) equation with the parameters determined by the basic ...

We present results of different approaches to model the evolution of the COVID-19 epidemic in Argentina, with a special focus on the megacity conformed by the city of Buenos Aires and its metropolitan area, including a ...

Recently, the RIDL-SIT technology has been field-tested for control of Aedes aegypti. The technique consists of releasing genetically modified mosquitoes carrying a “lethal gene”. In 2016 the World Health Organization (WHO) ...

A simple analytical model for modeling the evolution of the 2020 COVID-19 pandemic is presented. The model is based on the numerical solution of the widely used Susceptible-Infectious-Removed (SIR) populations model for ...

We propose a representation of the dynamics of epidemics through a compartmental SIR (Susceptible - Infected - Recovered) model, with the combined use of geo-referenced cellular automata and fuzzy systems. In this model, ...

With IoT networks' rapid advancement and significant cybersecurity challenges, the proposal and analysis of models capable of studying malware propagation within these structures have become highly relevant. This paper ...

Since the emergence of the novel coronavirus disease 2019 (COVID-19), mathematical modelling has become an important tool for planning strategies to combat the pandemic by supporting decision-making and public policies, ...

In this paper, a new Susceptible-Exposed-Symptomatic Infectious-Asymptomatic Infectious-QuarantinedHospitalized-Recovered-Dead (SEIDIUQHRD) deterministic compartmental model has been proposed and calibrated for interpreting ...