Evidence map›Paper›PMID 36632112›Full record

ArticleHeliyon2023

Analysis of a stochastic model of corruption transmission dynamics with temporary immunity.

Aychew Wondyfraw Tesfaye, Haileyesus Tessema Alemneh

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

2 authors.

Aychew Wondyfraw TesfayeDepartment of Mathematics, College of Natural and Computational Sciences, Haramaya University, Ethiopia.
Haileyesus Tessema AlemnehDepartment of Mathematics, College of Natural and Computational Sciences, University of Gondar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this investigation, we developed a deterministic SCHRS mathematical model of corruption transmission dynamics and its extended stochastic model after incorporating stochastic factors and Brownian motion. We presented both model analyses in their respective order. The positivity, invariant region, corruption-free equilibrium point, basic reproduction numbers, both local and global stabilities of corruption-free equilibrium, and endemic equilibrium with their stabilities were discussed. The basic reproduction numbers of both deterministic and stochastic approaches are obtained using the next-generation matrix method and twice Itô's differentiable formula. Sensitivity analyses of the impact of relevant parameters are performed. Furthermore, the outcomes of numerical simulations were presented by comparing the deterministic and stochastic approaches to the model's relevant parameters. We observed that as the rate at which the corrupted population interacts with the susceptible population increases, so does the number of corrupted individuals in the community. Moreover, when individuals recover more through education or punishment, the number of corrupted individuals decreases.

Indexed as

Basic reproduction numberCorruptionNumerical simulationStochastic mathematical model

Identifiers

PMID36632112
PMCPMC9826843

What OpenQuestion holds

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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.