Evidence map›Paper›PMID 34980997›Full record

ArticleResults in physics2022

Modeling the dynamics of COVID-19 using fractal-fractional operator with a case study.

Jian-Cun Zhou, Soheil Salahshour, Ali Ahmadian, Norazak Senu

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Study of Fractional Order SEIR Epidemic Model and Effect of Vaccination on the Spread of COVID-19.International journal of applied and computational mathematics · 2022
    Article
  5. Caputo Fractal Fractional Order Derivative of Soil Pollution Model Due to Industrial and Agrochemical.International journal of applied and computational mathematics · 2022
    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.

Jian-Cun ZhouCollege of Information and Electronic Engineering, Hunan City University, Yiyang 413000, PR China.
Soheil SalahshourFaculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul, Turkey.
Ali AhmadianDepartment of Law, Economics and Human Sciences, Mediterranea University of Reggio Calabria, Reggio Calabria, Italy.
Norazak SenuInstitute for Mathematical Research, Universiti Putra Malaysia, Selangor, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research study consists of a newly proposed Atangana-Baleanu derivative for transmission dynamics of the coronavirus (COVID-19) epidemic. Taking the advantage of non-local Atangana-Baleanu fractional-derivative approach, the dynamics of the well-known COVID-19 have been examined and analyzed with the induction of various infection phases and multiple routes of transmissions. For this purpose, an attempt is made to present a novel approach that initially formulates the proposed model using classical integer-order differential equations, followed by application of the fractal fractional derivative for obtaining the fractional COVID-19 model having arbitrary order

Indexed as

Adams–Bashforth methodCase studyCOVID-19 transmissionDeterministic stability analysisFractal fractional order modelNewton polynomial

Identifiers

PMID34980997
PMCPMC8716155

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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.