Evidence map›Paper›PMID 36459249›Full record

ArticleJournal of biological physics2022

Clinical effects of 2-DG drug restraining SARS-CoV-2 infection: A fractional order optimal control study.

Piu Samui, Jayanta Mondal, Bashir Ahmad, Amar Nath Chatterjee

Open access · greenAbstract read
In one paragraph

Article in Journal of biological physics, 2022. 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
1.6field-weighted citation impact, top 17% 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, 16 citations in OpenAlex.

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  4. Review
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 at 3 institutions in 2 countries.

Piu SamuiDepartment of Mathematics, Diamond Harbour Women's University, Sarisha, West Bengal, 743368, India.
Jayanta MondalDepartment of Mathematics, Diamond Harbour Women's University, Sarisha, West Bengal, 743368, India.
Bashir AhmadNonlinear Analysis and Applied Mathematics (NAAM)-Research Group, Department of Mathematics, King Abdulaziz University, P.O. Box 80203, Jeddah, 21589, Saudi Arabia.
Amar Nath ChatterjeeDepartment of Mathematics, K. L. S. College, Nawada, Magadh University, Bodh Gaya, Bihar, 805110, India. anchaterji@gmail.com.
Diamond Harbour Women's University · INKing Abdulaziz University · SAMagadh University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fractional calculus is very convenient tool in modeling of an emergent infectious disease system comprising previous disease states, memory of disease patterns, profile of genetic variation etc. Significant complex behaviors of a disease system could be calibrated in a proficient manner through fractional order derivatives making the disease system more realistic than integer order model. In this study, a fractional order differential equation model is developed in micro level to gain perceptions regarding the effects of host immunological memory in dynamics of SARS-CoV-2 infection. Additionally, the possible optimal control of the infection with the help of an antiviral drug, viz. 2-DG, has been exemplified here. The fractional order optimal control would enable to employ the proper administration of the drug minimizing its systematic cost which will assist the health policy makers in generating better therapeutic measures against SARS-CoV-2 infection. Numerical simulations have advantages to visualize the dynamical effects of the immunological memory and optimal control inputs in the epidemic system.

Indexed as

COVID-19Antiviral AgentsHumansPharmaceutical PreparationsSARS-CoV-2Antiviral AgentsPharmaceutical Preparations2-DG drugCaputo fractional derivativeFOCPHost immune responseImmunological memorySARS-CoV-2

Identifiers

PMID36459249
PMCPMC9716179
OpenAlexW4311107000

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.