Evidence map›Paper›PMID 33777667›Full record

ArticleResults in physics2021

A fractional order SITR mathematical model for forecasting of transmission of COVID-19 of India with lockdown effect.

S S Askar, Dipankar Ghosh, P K Santra, Abdelalim A Elsadany, G S Mahapatra

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.

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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

5 authors.

S S AskarDepartment of Statistics and Operations Research, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.
Dipankar GhoshDepartment of Mathematics, National Institute of Technology Puducherry, Karaikal 609609, India.
P K SantraAbada Nsup School, Howrah, West Bengal, India.
Abdelalim A ElsadanyDepartment of Basic Science, Faculty of Computers and Informatics, Suez Canal University, Ismailia 41522, Egypt.
G S MahapatraDepartment of Mathematics, National Institute of Technology Puducherry, Karaikal 609609, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we consider a mathematical model to explain, understanding, and to forecast the outbreaks of COVID-19 in India. The model has four components leading to a system of fractional order differential equations incorporating the refuge concept to study the lockdown effect in controlling COVID-19 spread in India. We investigate the model using the concept of Caputo fractional-order derivative. The goal of this model is to estimate the number of total infected, active cases, deaths, as well as recoveries from COVID-19 to control or minimize the above issues in India. The existence, uniqueness, non-negativity, and boundedness of the solutions are established. In addition, the local and global asymptotic stability of the equilibrium points of the fractional-order system and the basic reproduction number are studied for understanding and prediction of the transmission of COVID-19 in India. The next step is to carry out sensitivity analysis to find out which parameter is the most dominant to affect the disease's endemicity. The results reveal that the parameters

Indexed as

COVID-19Fractional differential equationLockdownRefugeReproduction numberSITR compartmental modelStability

Identifiers

PMID33777667
PMCPMC7985659

What OpenQuestion holds

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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.