Evidence map›Paper›PMID 34559815›Full record

ArticlePloS one2021

Epidemic management with admissible and robust invariant sets.

Willem Esterhuizen, Jean Lévine, Stefan Streif

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Willem EsterhuizenAutomatic Control and System Dynamics Laboratory, Technische Universität Chemnitz, Chemnitz, Germany.ORCID 0000-0002-5837-5601
Jean LévineCentre Automatique et Systèmes (CAS), Maths & Systems Dept., MINES ParisTech, PSL University, Paris, France.ORCID 0000-0002-8095-4132
Stefan StreifAutomatic Control and System Dynamics Laboratory, Technische Universität Chemnitz, Chemnitz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

EpidemicsBasic Reproduction NumberCOVID-19Epidemiological ModelsHumansQuarantineVaccination

Identifiers

PMID34559815
PMCPMC8462746

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.