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Epidemic management with admissible and robust invariant sets
We present a detailed set-based analysis of the well-known SIR and SEIR epidemic models subjected to hard caps on the proportion of infective individuals, and bounds on the allowable intervention strategies, such as social distancing, quarantining and vaccination. We describe the admissible and maxi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8462746/ https://www.ncbi.nlm.nih.gov/pubmed/34559815 http://dx.doi.org/10.1371/journal.pone.0257598 |
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author | Esterhuizen, Willem Lévine, Jean Streif, Stefan |
author_facet | Esterhuizen, Willem Lévine, Jean Streif, Stefan |
author_sort | Esterhuizen, Willem |
collection | PubMed |
description | We present a detailed set-based analysis of the well-known SIR and SEIR epidemic models subjected to hard caps on the proportion of infective individuals, and bounds on the allowable intervention strategies, such as social distancing, quarantining and vaccination. We describe the admissible and maximal robust positively invariant (MRPI) sets of these two models via the theory of barriers. We show how the sets may be used in the management of epidemics, for both perfect and imperfect/uncertain models, detailing how intervention strategies may be specified such that the hard infection cap is never breached, regardless of the basic reproduction number. The results are clarified with detailed examples. |
format | Online Article Text |
id | pubmed-8462746 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-84627462021-09-25 Epidemic management with admissible and robust invariant sets Esterhuizen, Willem Lévine, Jean Streif, Stefan PLoS One Research Article We present a detailed set-based analysis of the well-known SIR and SEIR epidemic models subjected to hard caps on the proportion of infective individuals, and bounds on the allowable intervention strategies, such as social distancing, quarantining and vaccination. We describe the admissible and maximal robust positively invariant (MRPI) sets of these two models via the theory of barriers. We show how the sets may be used in the management of epidemics, for both perfect and imperfect/uncertain models, detailing how intervention strategies may be specified such that the hard infection cap is never breached, regardless of the basic reproduction number. The results are clarified with detailed examples. Public Library of Science 2021-09-24 /pmc/articles/PMC8462746/ /pubmed/34559815 http://dx.doi.org/10.1371/journal.pone.0257598 Text en © 2021 Esterhuizen et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Esterhuizen, Willem Lévine, Jean Streif, Stefan Epidemic management with admissible and robust invariant sets |
title | Epidemic management with admissible and robust invariant sets |
title_full | Epidemic management with admissible and robust invariant sets |
title_fullStr | Epidemic management with admissible and robust invariant sets |
title_full_unstemmed | Epidemic management with admissible and robust invariant sets |
title_short | Epidemic management with admissible and robust invariant sets |
title_sort | epidemic management with admissible and robust invariant sets |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8462746/ https://www.ncbi.nlm.nih.gov/pubmed/34559815 http://dx.doi.org/10.1371/journal.pone.0257598 |
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