Evidence map›Paper›PMID 33623732›Full record

ArticleResults in physics2021

Investigation of the dynamics of COVID-19 with a fractional mathematical model: A comparative study with actual data.

Ismail Gad Ameen, Hegagi Mohamed Ali, M R Alharthi, Abdel-Haleem Abdel-Aty, Hillal M Elshehabey

Abstract read
In one paragraph

Article in Results in physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

5 authors.

Ismail Gad AmeenMathematics Department, Faculty of Science, South Valley University, Qena 83523, Egypt.
Hegagi Mohamed AliDepartment of Mathematics, Faculty of Science, Aswan University, Aswan 81528, Egypt.
M R AlharthiDepartment of Mathematics and Statistics, College of Science, Taif University, PO Box 11099, Taif 21944, Saudi Arabia.
Abdel-Haleem Abdel-AtyDepartment of Physics, College of Sciences, University of Bisha, PO Box 344, Bisha 61922, Saudi Arabia.
Hillal M ElshehabeyMathematics Department, Faculty of Science, South Valley University, Qena 83523, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the greatest challenges facing the humankind nowadays is to confront that emerging virus, which is the Coronavirus (COVID-19), and therefore all organizations have to unite in order to tackle that the transmission risk of this virus. From this standpoint, the scientific researchers have to find good mathematical models that do describe the transmission of such virus and contribute to reducing it in one way or another, where the study of COVID-19 transmission dynamics by mathematical models is very important for analyzing and controlling this disease propagation. Thus, in the current work, we present a new fractional-order mathematical model that describes the dynamics of COVID-19. In the proposed model, the total population is divided into eight classes, in addition to three compartments used to estimate the parameters and initial values. The effective reproduction number (

Indexed as

Caputo fractional derivativeMathematical modelNovel coronavirusNumerical simulationReal dataStability

Identifiers

PMID33623732
PMCPMC7892305

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.