loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Paolo Di Giamberardino and Daniela Iacoviello

Affiliation: Dept. Computer, Control and Management Engineering Antonio Ruberti, Sapienza University of Rome, via Ariosto 25, 00185 Rome and Italy

Keyword(s): Epidemic Modeling, System Analysis, Optimal Control.

Related Ontology Subjects/Areas/Topics: Engineering Applications ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Robotics and Automation ; Signal Processing, Sensors, Systems Modeling and Control ; System Modeling

Abstract: In this paper the problem of modeling and controlling the measles epidemic spread is faced. A new model is proposed and analysed; besides the categories usually considered in measles modeling, the susceptible, the exposed, the infected, the removed and, less frequently, the quarantine individuals, two new categories are herein introduced: the immunosuppressed subjects, that can not be vaccinated, and the patients with an additional complication, not risky by itself but dangerous if caught togeter with the measles. These two novelties are taken into account in designing and scheduling suitably control actions such as vaccination, whenever possible, prevention, quarantine and treatment, when limited resources are available. An analysis of the model is developed and the optimal control strategies are compared with other not optimized actions. By using the Pontryagin principle, it is shown the prevailing role of the vaccination in guaranteeing the protection to immunosuppressed individua ls, as well as the importance of a prompt response of the society when an epidemic spread occurs, such as the quarantine intervention. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.200.182.101

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Di Giamberardino, P. and Iacoviello, D. (2019). Analysis, Simulation and Control of a New Measles Epidemic Model. In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-380-3; ISSN 2184-2809, SciTePress, pages 550-559. DOI: 10.5220/0007934405500559

@conference{icinco19,
author={Paolo {Di Giamberardino}. and Daniela Iacoviello.},
title={Analysis, Simulation and Control of a New Measles Epidemic Model},
booktitle={Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2019},
pages={550-559},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007934405500559},
isbn={978-989-758-380-3},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Analysis, Simulation and Control of a New Measles Epidemic Model
SN - 978-989-758-380-3
IS - 2184-2809
AU - Di Giamberardino, P.
AU - Iacoviello, D.
PY - 2019
SP - 550
EP - 559
DO - 10.5220/0007934405500559
PB - SciTePress