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Authors: Paolo Di Giamberardino ; Rita Caldarella and Daniela Iacoviello

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

Keyword(s): COVID–19, Epidemic Model, Containment Measures Identification, Analysis of Scenarios.

Abstract: Since the beginning of 2020 in few weeks all the world has been interested by the pandemic due to SARS-CoV 2, causing more than 3 millions of dead people and more than 146 millions of infected patients. The virus moves with people and the most effective containment measure appears to be the severe lockdown; on the other hand, for obvious social and economic reasons, it can not be applied for long periods. Moreover, the increasing knwoledge on the virus and on its trasmission modes suggested various strategies, such as the use of masks, social distancing, disinfection and the fast identification of infected patients, up to the recent vaccination campaign. In this paper, the COVID-19 spread is studied referring to the Italian situation; the control actions introduced during 2020-2021 are identified in terms of their actual effects, allowing to study possible intervention scenarios.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Di Giamberardino, P.; Caldarella, R. and Iacoviello, D. (2021). Modeling, Analysis and Control of COVID-19 in Italy: Study of Scenarios. In Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - ICINCO; ISBN 978-989-758-522-7; ISSN 2184-2809, SciTePress, pages 677-684. DOI: 10.5220/0010555906770684

@conference{icinco21,
author={Paolo {Di Giamberardino}. and Rita Caldarella. and Daniela Iacoviello.},
title={Modeling, Analysis and Control of COVID-19 in Italy: Study of Scenarios},
booktitle={Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - ICINCO},
year={2021},
pages={677-684},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010555906770684},
isbn={978-989-758-522-7},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - ICINCO
TI - Modeling, Analysis and Control of COVID-19 in Italy: Study of Scenarios
SN - 978-989-758-522-7
IS - 2184-2809
AU - Di Giamberardino, P.
AU - Caldarella, R.
AU - Iacoviello, D.
PY - 2021
SP - 677
EP - 684
DO - 10.5220/0010555906770684
PB - SciTePress

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