Evidence map›Paper›PMID 36302934›Full record

ArticleScientific reports2022

Dynamic analysis and optimal control considering cross transmission and variation of information.

Sida Kang, Xilin Hou, Yuhan Hu, Hongyu Liu

Abstract read
In one paragraph

Article in Scientific reports, 2022. 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

4 authors.

Sida KangSchool of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan, 114051, China.
Xilin HouSchool of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan, 114051, China. hou_xilinDFS@163.com.
Yuhan HuSchool of Science, University of Science and Technology Liaoning, Anshan, 114051, China.
Hongyu LiuSchool of Business Administration, University of Science and Technology Liaoning, Anshan, 114051, China.

Funding

National Natural Science Foundation of China 71472080The Humanities and Social Sciences Research Projects of Education Department of Liaoning Province China 2020LNJC11
6 · The paper itself

Abstract

Cross-transmission of information has a profound influence on the progress of science and technology and the discipline integration in the field of education. In this work, knowledge gained from the viral recombination and variation in COVID-19 transmission is applied to information transmission. Virus recombination and virus variation are similar to the crossing and information fusion phenomena in information transmission. An S2I4MR model with information crossing and variation is constructed. Then, the local and global asymptotic stabilities of the information-free equilibrium and information-existence equilibrium are analyzed. Additionally, the basic reproduction number [Formula: see text] of the model is calculated. As such, an optimal control strategy is hereby proposed to promote the cross-transmission of information and generate variant information. The numerical simulations support the results of the theoretical analysis and the sensitivity of the system towards certain control parameters. In particular, the results show that strengthening information crossing promotes the generation of variant information. Furthermore, encouraging information exchange and enhancing education improve the generation of information crossing and information variation.

Indexed as

COVID-19Basic Reproduction NumberHumansModels, Biological

Identifiers

PMID36302934
PMCPMC9610354

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LicenceCC BY
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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.