Evidence map›Paper›PMID 32390692›Full record

ArticleChaos, solitons, and fractals2020

On a comprehensive model of the novel coronavirus (COVID-19) under Mittag-Leffler derivative.

Mohammed S Abdo, Kamal Shah, Hanan A Wahash, Satish K Panchal

Open access · greenAbstract read
In one paragraph

Article in Chaos, solitons, and fractals, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
5.9field-weighted citation impact, top 3% of its field
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

51 citing papers in PubMed, 197 citations in OpenAlex.

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  3. Vaccination control measures of an epidemic model with long-term memristive effect.Journal of computational and applied mathematics · 2023
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  15. Novel approach for Monte Carlo simulation of the new COVID-19 spread dynamics.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2021
    Article
  16. Methodology for modelling the new COVID-19 pandemic spread and implementation to European countries.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2021
    Article
  17. Article
  18. Article
  19. Article
  20. Fractional order mathematical modeling of novel corona virus (COVID-19).Mathematical methods in the applied sciences · 2021
    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 at 2 institutions in 3 countries.

Mohammed S AbdoDepartment of Mathematics, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, (M.S), 431001, India.
Kamal ShahDepartment of Mathematics, University of Malakand Chakdara, Dir(L), Pakhtunkhwa, Pakistan.
Hanan A WahashDepartment of Mathematics, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, (M.S), 431001, India.
Satish K PanchalDepartment of Mathematics, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, (M.S), 431001, India.
Dr. Babasaheb Ambedkar Marathwada University · INUniversity of Malakand · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The major purpose of the presented study is to analyze and find the solution for the model of nonlinear fractional differential equations (FDEs) describing the deadly and most parlous virus so-called coronavirus (COVID-19). The mathematical model depending of fourteen nonlinear FDEs is presented and the corresponding numerical results are studied by applying the fractional Adams Bashforth (AB) method. Moreover, a recently introduced fractional nonlocal operator known as Atangana-Baleanu (AB) is applied in order to realize more effectively. For the current results, the fixed point theorems of Krasnoselskii and Banach are hired to present the existence, uniqueness as well as stability of the model. For numerical simulations, the behavior of the approximate solution is presented in terms of graphs through various fractional orders. Finally, a brief discussion on conclusion about the simulation is given to describe how the transmission dynamics of infection take place in society.

Indexed as

26A3334A0835R11Adams Bashforth methodAttangana-Baleanu derivativeCOVID-19Existence and stability theoryFixed point theorem

Identifiers

PMID32390692
PMCPMC7205740
OpenAlexW3023108145

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.