Evidence map›Paper›PMID 35663799›Full record

ArticleResults in physics2022

Assessing the potential impact of COVID-19 Omicron variant: Insight through a fractional piecewise model.

Xiao-Ping Li, Mahmoud H DarAssi, Muhammad Altaf Khan, C W Chukwu, Mohammad Y Alshahrani, Mesfer Al Shahrani, Muhammad Bilal Riaz

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Results in physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

7 authors.

Xiao-Ping LiSchool of Mathematics and Information Science, Xiangnan University, Chenzhou, 423000, Hunan, PR China.
Mahmoud H DarAssiDepartment of Basic Sciences, Princess Sumaya University for Technology, Amman 11941, Jordan.
Muhammad Altaf KhanInstitute for Ground Water Studies, Faculty of Natural and Agricultural Sciences, University of the Free State, South Africa.
C W ChukwuDivision of Infectious Diseases and Global Public Health, University of California, San Diego, CA, USA.
Mohammad Y AlshahraniDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, P.O. Box 61413, Abha, 9088, Saudi Arabia.
Mesfer Al ShahraniDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, P.O. Box 61413, Abha, 9088, Saudi Arabia.
Muhammad Bilal RiazDepartment of Automation, Biomechanics and Mechatronics, Lodz University of Technology, 1/15 Stefanowskiego St., 90-924 Lodz, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We consider a new mathematical model for the COVID-19 disease with Omicron variant mutation. We formulate in details the modeling of the problem with omicron variant in classical differential equations. We use the definition of the Atangana-Baleanu derivative and obtain the extended fractional version of the omicron model. We study mathematical results for the fractional model and show the local asymptotical stability of the model for infection-free case if

Indexed as

COVID-19Fractional modelNumerical simulationOmicronPiecewise model

Identifiers

PMID35663799
PMCPMC9150900

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.