loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Zonglin Liu ; Muhammed Omayrat and Olaf Stursberg

Affiliation: Control and System Theory, Dept. of Electrical Engineering and Computer Science, University of Kassel, Germany

Keyword(s): Epidemic Modeling, Markov Process, Infection Control, Optimal Control, Biomedical Systems.

Abstract: This paper aims at applying optimal control to investigate different vaccination strategies against the epidemic spread of viral diseases. Background of the study is the situation in the first half of 2021, when many countries started their vaccination procedures against the COVID-19 disease, but suffered from shortages of vaccines, such that the efficient distribution of the available amount of vaccine turned out to be crucial to mitigate the pandemic. The paper first suggests an extended version of a known model of virus spread in order include the vaccination process. Based on this model, the formulation and solution of optimization problems is used to determine how available vaccine should be distributed over different age-groups of the population to minimize virus spread. Effectiveness of the obtained strategies compared to standard ones is demonstrated in simulations.

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 8.217.144.104

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:
Liu, Z., Omayrat, M. and Stursberg, O. (2021). A Study on Model-based Optimization of Vaccination Strategies against Epidemic Virus Spread. 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 630-637. DOI: 10.5220/0010604006300637

@conference{icinco21,
author={Zonglin Liu and Muhammed Omayrat and Olaf Stursberg},
title={A Study on Model-based Optimization of Vaccination Strategies against Epidemic Virus Spread},
booktitle={Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - ICINCO},
year={2021},
pages={630-637},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010604006300637},
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 - A Study on Model-based Optimization of Vaccination Strategies against Epidemic Virus Spread
SN - 978-989-758-522-7
IS - 2184-2809
AU - Liu, Z.
AU - Omayrat, M.
AU - Stursberg, O.
PY - 2021
SP - 630
EP - 637
DO - 10.5220/0010604006300637
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic

  翻译：