Evidence map›Paper›PMID 39060276›Full record

ArticleScientific reports2024

Optimum study of fractional polio model with exponential decay kernel.

Muhammad Sajid Iqbal, Muhammad Shahzad, Nauman Ahmed, Ali Akgül, Madiha Ghafoor, Murad Khan Hassani

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Muhammad Sajid IqbalSchool of Foundation Studies and Mathematics, OUC with Liverpool John Moores University (UK), Qatar Campus, 12253, Doha, Qatar.
Muhammad ShahzadDepartment of Mathematics and statistics, The University of Lahore, Lahore, Pakistan.
Nauman AhmedDepartment of Mathematics and statistics, The University of Lahore, Lahore, Pakistan. nauman.ahmd01@gmail.com.
Ali AkgülDepartment of Mathematics, Art and Science Faculty, Siirt University, 56100, Siirt, Turkey. aliakgul00727@gmail.com.
Madiha GhafoorDepartment of Mathematics and statistics, The University of Lahore, Lahore, Pakistan.
Murad Khan HassaniDepartment of Mathematics, Ghazni University, Ghazni, Afghanistan. mhassani@gu.edu.af.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study introduces a fractional order model to investigate the dynamics of polio disease spread, focusing on its significance, unique results, and conclusions. We emphasize the importance of understanding polio transmission dynamics and propose a novel approach using a fractional order model with an exponential decay kernel. Through rigorous analysis, including existence and stability assessment applying the Caputo Fabrizio fractional operator, we derive key insights into the disease dynamics. Our findings reveal distinct disease-free equilibrium (DFE) and endemic equilibrium (EE) points, shedding light on the disease's stability. Furthermore, graphical representations and numerical simulations demonstrate the behavior of the disease under various parameter values, enhancing our understanding of polio transmission dynamics. In conclusion, this study offers valuable insights into the spread of polio and contributes to the broader understanding of infectious disease dynamics.

Indexed as

PoliomyelitisComputer SimulationEpidemiological ModelsHumansModels, TheoreticalPoliovirusCovid-19Fractal fractional derivativeNumerical simulationsStability analysis

Identifiers

PMID39060276
PMCPMC11282190

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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.