Epidemic management with admissible and robust invariant sets.

PLoS One

Automatic Control and System Dynamics Laboratory, Technische Universität Chemnitz, Chemnitz, Germany.

Published: July 2024

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8462746PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0257598PLOS

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