Evidence map›Paper›PMID 36277845›Full record

ArticlePartial differential equations in applied mathematics : a spin-off of Applied Mathematics Letters2022

Fractal-fractional age-structure study of omicron SARS-CoV-2 variant transmission dynamics.

Emmanuel Addai, Lingling Zhang, Joshua Kiddy K Asamoah, Ama Kyerewaa Preko, Yarhands Dissou Arthur

Abstract read
In one paragraph

Article in Partial differential equations in applied mathematics : a spin-off of Applied Mathematics Letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

5 authors.

Emmanuel AddaiCollege of Biomedical Engineering, Taiyuan University of Technology, Shanxi Taiyuan 030024, China.
Lingling ZhangDepartment of Mathematics, Taiyuan University of Technology, Shanxi Taiyuan 030024, China.
Joshua Kiddy K AsamoahDepartment of Mathematics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Ama Kyerewaa PrekoCollege of Teacher Education, Zhejiang Normal University, Zhejiang Jinhua, 321004, China.
Yarhands Dissou ArthurDepartment of Mathematics Education, Akenten Appiah-Menka University of Skills Training and Entrepreneurial Development, Kumasi, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper proposes a new fractal-fractional age-structure model for the omicron SARS-CoV-2 variant under the Caputo-Fabrizio fractional order derivative. Caputo-Fabrizio fractal-fractional order is particularly successful in modelling real-world phenomena due to its repeated memory effect and ability to capture the exponentially decreasing impact of disease transmission dynamics. We consider two age groups, the first of which has a population under 50 and the second of a population beyond 50. Our results show that at a population dynamics level, there is a high infection and recovery of omicron SARS-CoV-2 variant infection among the population under 50 (Group-1), while a high infection rate and low recovery of omicron SARS-CoV-2 variant infection among the population beyond 50 (Group-2) when the fractal-fractional order is varied.

Indexed as

Caputo–FabrizioFractal–fractional derivativesNewton polynomialNumerical schemeOmicron SARS-CoV-2 variant

Identifiers

PMID36277845
PMCPMC9576209

What Socratic holds

Textmetadata
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Registered trials

None linked

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 Socratic graph.