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Authors: Paolo Di Giamberardino and Daniela Iacoviello

Affiliation: Department of Computer, Control and Management Engineering Antonio Ruberti, Sapienza University of Rome, Italy

Keyword(s): Measles, ARX Modeling, Containment Measures.

Abstract: Measles is one of the most dangerous epidemic disease for its high reproduction number and the possible complications on already weakened patients. Effective vaccination is available since the early 60s and a suitable vaccination campaign could interrupt this epidemic disease. The most common approach for the disease description considers compartmental models, effective but requiring the identification of model parameters, generally data consuming. A different approach is data driven, that is it consideres autoregressive modeling with exogenous input. The autoregressive modeling is here considered describing measles evolution by using measurable available information, like the number of infected patients and the percentage of vaccinated individuals. A penalized control is herein determined, thus taking into account also limitation in control actions. Numerical results, based on available real data, show the effectivenes of the approach.

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Paper citation in several formats:
Di Giamberardino, P. and Iacoviello, D. (2024). Epidemic Modeling and Control: An ARX Approach for Measles Containment. In Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-717-7; ISSN 2184-2809, SciTePress, pages 632-639. DOI: 10.5220/0012890500003822

@conference{icinco24,
author={Paolo {Di Giamberardino}. and Daniela Iacoviello.},
title={Epidemic Modeling and Control: An ARX Approach for Measles Containment},
booktitle={Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2024},
pages={632-639},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012890500003822},
isbn={978-989-758-717-7},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Epidemic Modeling and Control: An ARX Approach for Measles Containment
SN - 978-989-758-717-7
IS - 2184-2809
AU - Di Giamberardino, P.
AU - Iacoviello, D.
PY - 2024
SP - 632
EP - 639
DO - 10.5220/0012890500003822
PB - SciTePress

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