Evidence map›Paper›PMID 32288201›Full record

ArticleMathematical and computer modelling2008

Optimal and sub-optimal quarantine and isolation control in SARS epidemics.

Xiefei Yan, Yun Zou

Abstract read
In one paragraph

Article in Mathematical and computer modelling, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Mathematical analysis and computation of a spatiotemporal SIQR model.Theory in biosciences = Theorie in den Biowissenschaften · 2025
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  18. Controlling the Spread of COVID-19: Optimal Control Analysis.Computational and mathematical methods in medicine · 2020
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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

2 authors.

Xiefei YanSchool of Automation, Nanjing University of Science and Technology, Nanjing, 210094, PR China.
Yun ZouSchool of Automation, Nanjing University of Science and Technology, Nanjing, 210094, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper discusses the application of optimal and sub-optimal controls to a SEQIJR SARS model via the Pontryagin's Maximum Principle. To this end, two control variables representing the quarantine and isolation strategies are considered in the model. The numerical optimal control laws are implemented in an iterative method, and the sub-optimal solution is computed using a genetic algorithm. The simulation results demonstrate that the maximal applications of quarantining and isolation strategies in the early stage of the epidemic are of very critical impacts in both cases of optimal and sub-optimal control. Otherwise, the control effect will be much worse. This gives a theoretical interpretation to the practical experiences that the early quarantine and isolation strategies are critically important to control the outbreaks of epidemics. Furthermore, our results also show that the proposed sub-optimal control can lead to performances close to the optimal control, but with much simpler strategies for long periods of time in practical use.

Indexed as

Epidemics controlGenetic algorithmIsolationOptimal and sub-optimal controlQuarantineSARS model

Identifiers

PMID32288201
PMCPMC7125562

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.