The COVID-19 pandemic is causing a dramatic loss of lives worldwide, challenging the
sustainability of our health care systems, threatening economic meltdown, and putting …

Abstract Background and Objective: The agent abstraction is a powerful one, developed
decades ago to represent crucial aspects of artificial intelligence research. The meaning has …

There are two main methods that are used to model the spread of an infectious disease:
agent-based modelling and equation based modelling. In this paper, we compare the results …

Both agent-based models and equation-based models can be used to model the spread of
an infectious disease. Equation-based models have been shown to capture the overall …

Agent-based models (ABMs) of human systems are often parameterized using real-world
data. For some ABMs this is not possible because the reality upon which the models are …

The recent world crisis caused by the rapid spreading of the COVID-19 variants elicited how
urgent it is to develop a robust and reliable epidemiological model for effective policy …

This study looks at the dynamics of a Covid-19 type epidemic with a dual purpose. The first
objective is to propose a reliable temporal mathematical model, based on real data and …

This chapter describes mathematical epidemiology from the perspectives of mathematical
modelers and public health professionals. The mathematical approach in terms of model …

Infectious disease models are essential in understanding how an outbreak might occur and
how best to mitigate an outbreak. One of the most important factors in modelling a disease is …

Dans cette étude, on s' intéresse à la dynamique d'une épidémie de type Covid-19 avec un
double objectif. Le premier objectif est de proposer un modèle mathématique …