Modelling and Analysis of Spread Characteristics of Arbovirus Infections
Paolo Di Giamberardino, Daniela Iacoviello
2024
Abstract
The problem of the definition of a mathematical model for epidemics, where the virus transmission is operated by an infected vector like an insect, is addressed. Through the consideration of a small number of compartments, in order to keep the mathematical analysis affordable, a five dimensional model is proposed and, successively, used for the analysis of the main characteristics of the disease. Closed form expression are then obtained for the equilibria, the stabiliy conditions and the reproduction number. Some numerical results referring to the dengue disease emergency are also presented, firstly to identify the unknown model parameters and then to validate the effectiveness of the model itself. Using such a model, some considerations on the most effective action lines for spidemic containment are discussed.
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in Harvard Style
Di Giamberardino P. and Iacoviello D. (2024). Modelling and Analysis of Spread Characteristics of Arbovirus Infections. In Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-717-7, SciTePress, pages 600-611. DOI: 10.5220/0013061700003822
in Bibtex Style
@conference{icinco24,
author={Paolo Di Giamberardino and Daniela Iacoviello},
title={Modelling and Analysis of Spread Characteristics of Arbovirus Infections},
booktitle={Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2024},
pages={600-611},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013061700003822},
isbn={978-989-758-717-7},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Modelling and Analysis of Spread Characteristics of Arbovirus Infections
SN - 978-989-758-717-7
AU - Di Giamberardino P.
AU - Iacoviello D.
PY - 2024
SP - 600
EP - 611
DO - 10.5220/0013061700003822
PB - SciTePress