Evidence map›Paper›PMID 38327401›Full record

ArticleHeliyon2024

Statistical and computational analysis for corruption and poverty model using Caputo-type fractional differential equations.

Mansour A Abdulwasaa, Sunil V Kawale, Mohammed S Abdo, M Daher Albalwi, Kamal Shah, Bahaaeldin Abdalla, Thabet Abdeljawad

Abstract read
In one paragraph

Article in Heliyon, 2024. 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
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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Mansour A AbdulwasaaDepartment of Statistics, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India.
Sunil V KawaleDepartment of Statistics, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India.
Mohammed S AbdoDepartment of Mathematics, Hodeidah University, Al-Hudaydah, Yemen.
M Daher AlbalwiYanbu Industrial College, The Royal Commission for Jubail and Yanbu, 30436, Saudi Arabia.
Kamal ShahDepartment of Mathematics and Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia.
Bahaaeldin AbdallaDepartment of Mathematics and Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia.
Thabet AbdeljawadDepartment of Mathematics and Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since there is a clear correlation between poverty and corruption, mathematicians have been actively researching the concept of poverty and corruption in order to develop the optimal strategy of corruption control. This work aims to develop a mathematical model for the dynamics of poverty and corruption. First, we study and analyze the indicators of corruption and poverty rates by applying the linear model along with the Eviews program during the study period. Then, we present a prediction of poverty rates for 2023 and 2024 using the results of the standard problem-free model. Next, we formulate the model in the frame of Caputo fractional derivatives. Fundamental properties, including equilibrium points, basic reproduction number, and positive solutions of the considered model are obtained using nonlinear analysis. Sufficient conditions for the existence and uniqueness of solutions are studied via using fixed point theory. Numerical analysis is performed by using modified Euler method. Moreover, results about Ulam-Hyers stability are also presented. The aforementioned results are presented graphically. In addition, a comparison with real data and simulated results is also given. Finally, we conclude the work by providing a brief conclusion.

Indexed as

Euler's methodEviewsFixed point theoremFractional derivativeLinear model

Identifiers

PMID38327401
PMCPMC10847950

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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.