Evidence map›Paper›PMID 33318893›Full record

ArticleResults in physics2021

Theoretical and numerical analysis of novel COVID-19 via fractional order mathematical model.

Amjad Ali, Muhammad Yasin Khan, Muhammad Sinan, F M Allehiany, Emad E Mahmoud, Abdel-Haleem Abdel-Aty, Gohar Ali

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 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.

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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

7 authors.

Amjad AliDepartment of Mathematics, Govt P.G Jahanzeb College Swat, Khyber Pakhtunkhwa, Pakistan.
Muhammad Yasin KhanDepartment of Mathematics, Islamia College University, Peshawar, Khyber Pakhtunkhwa, Pakistan.
Muhammad SinanDepartment of Mathematics and Statistics, University of Swat, Swat, Khyber Pakhtunkhwa, Pakistan.
F M AllehianyDepartment of Mathematical Sciences, College of Applied Sciences, Umm Al-Qura University, P.O. Box 715, Makkah 21955, Saudi Arabia.
Emad E MahmoudDepartment of Mathematics and Statistics, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.
Abdel-Haleem Abdel-AtyDepartment of Physics, College of Sciences, University of Bisha, P.O. Box 344, Bisha 61922, Saudi Arabia.
Gohar AliDepartment of Mathematics, Islamia College University, Peshawar, Khyber Pakhtunkhwa, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the work, author's presents a very significant and important issues related to the health of mankind's. Which is extremely important to realize the complex dynamic of inflected disease. With the help of Caputo fractional derivative, We capture the epidemiological system for the transmission of Novel Coronavirus-19 Infectious Disease (nCOVID-19). We constructed the model in four compartments susceptible, exposed, infected and recovered. We obtained the conditions for existence and Ulam's type stability for proposed system by using the tools of non-linear analysis. The author's thoroughly discussed the local and global asymptotical stabilities of underling model upon the disease free, endemic equilibrium and reproductive number. We used the techniques of Laplace Adomian decomposition method for the approximate solution of consider system. Furthermore, author's interpret the dynamics of proposed system graphically via Mathematica, from which we observed that disease can be either controlled to a large extent or eliminate, if transmission rate is reduced and increase the rate of treatment.

Indexed as

26A3334A0835B40Approximate SolutionsFixed point theorykeyword: Fractional DerivativesLaplace-Adomian decomposition methodMathematical modelingUlams type Stabilities

Identifiers

PMID33318893
PMCPMC7726523

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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.