Evidence map›Paper›PMID 34751202›Full record

ArticleChaos, solitons, and fractals2021

Mathematical assessment of the dynamics of novel coronavirus infection with treatment: A fractional study.

Xuan Liu, Saif Ullah, Ahmed Alshehri, Mohamed Altanji

Abstract read
In one paragraph

Article in Chaos, solitons, and fractals, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Vaccination control measures of an epidemic model with long-term memristive effect.Journal of computational and applied mathematics · 2023
    Article
  6. ABC Fractional Order Vaccination Model for Covid-19 with Self-Protective Measures.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.

Xuan LiuDepartment of Mathematics, Hanshan Normal University, Chaozhou 515041 China.
Saif UllahDepartment of Mathematics, University of Peshawar, Khyber Pakhtunkhwa, Pakistan.
Ahmed AlshehriDepartment of Mathematics, Faculty of Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
Mohamed AltanjiDepartment of Mathematics, College of Science, King Khalid University, Abha 61413, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, a mathematical model is formulated to study the transmission dynamics of the novel coronavirus infection under the effect of treatment. The compartmental model is firstly formulated using a system of nonlinear ordinary differential equations. Then, with the help of Caputo operator, the model is reformulated in order to obtain deeper insights into disease dynamics. The basic mathematical features of the time fractional model are rigorously presented. The nonlinear least square procedure is implemented in order to parameterize the model using COVID-19 cumulative cases in Saudi Arabia for the selected time period. The important threshold parameter called the basic reproduction number is evaluated based on the estimated parameters and is found

Indexed as

Caputo derivativeCOVID-19 mathematical modelNumerical simulationsParameter estimationReal incidence data

Identifiers

PMID34751202
PMCPMC8566449

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.