Evidence map›Paper›PMID 33014026›Full record

ArticleAdvances in difference equations2020

A fractional system of delay differential equation with nonsingular kernels in modeling hand-foot-mouth disease.

Behzad Ghanbari

Open access · goldAbstract read
In one paragraph

Article in Advances in difference equations, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
12.3field-weighted citation impact, top 1% 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

4 citing papers in PubMed, 102 citations in OpenAlex.

  1. Article
  2. An Efficient Numerical Scheme for Solving a Fractional-Order System of Delay Differential Equations.International journal of applied and computational mathematics · 2022
    Article
  3. Article
  4. COVID-19: The Second Wave is not due to Cooling-down in Autumn.Journal of epidemiology and global health · 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

1 author at 1 institution in 2 countries.

Behzad GhanbariDepartment of Engineering Science, Kermanshah University of Technology, Kermanshah, Iran.ORCID 0000-0003-0158-168X
Bahçeşehir University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this article, we examine a computational model to explore the prevalence of a viral infectious disease, namely hand-foot-mouth disease, which is more common in infants and children. The structure of this model consists of six sub-populations along with two delay parameters. Besides, by taking advantage of the Atangana-Baleanu fractional derivative, the ability of the model to justify different situations for the system has been improved. Discussions about the existence of the solution and its uniqueness are also included in the article. Subsequently, an effective numerical scheme has been employed to obtain several meaningful approximate solutions in various scenarios imposed on the problem. The sensitivity analysis of some existing parameters in the model has also been investigated through several numerical simulations. One of the advantages of the fractional derivative used in the model is the use of the concept of memory in maintaining the substantial properties of the understudied phenomena from the origin of time to the desired time. It seems that the tools used in this model are very powerful and can effectively simulate the expected theoretical conditions in the problem, and can also be recommended in modeling other computational models in infectious diseases.

Indexed as

Approximate solutionsFractional delay differential equationsMathematical modeling of infectious diseasesPredictor–corrector schemeThe Atangana–Baleanu fractional derivative

Identifiers

PMID33014026
PMCPMC7523494
OpenAlexW3091020047

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.