Evidence map›Paper›PMID 40163805›Full record

ArticlePloS one2025

Modeling the behavior of a generalized Cholera epidemic model with asymptomatic measures for early detection.

Ali Hasan Ali, Aqeel Ahmad, Fakher Abbas, Evren Hincal, Abdul Ghaffar, Belal Batiha, Husam A Neamah

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Ali Hasan AliDepartment of Mathematics, College of Education for Pure Sciences, University of Basrah, Basrah, Iraq.ORCID 0000-0003-2959-4212
Aqeel AhmadDepartment of Mathematics, Ghazi University, Dera Ghazi Khan, Pakistan.
Fakher AbbasDepartment of Mathematics, Ghazi University, Dera Ghazi Khan, Pakistan.
Evren HincalMathematics Research Center, Near East University, Near East Boulevard, Nicosia North Cyprus, Turkey.
Abdul GhaffarDepartment of Mathematics, Ghazi University, Dera Ghazi Khan, Pakistan.
Belal BatihaMathematics Department, Faculty of Science and Information Technology, Jadara University, Irbid, Jordan.
Husam A NeamahDepartment of Electrical Engineering and Mechatronics, Faculty of Engineering, University of Debrecen, Debrecen, Hungary.ORCID 0000-0003-0430-8400

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To understand how a disease spreads through a society, mathematical formulations are a crucial tool for comprehending the complete dynamics of cholera. Model formulations are essential for thoroughly understanding the propagation of cholera throughout a population. For an assessment of the stable state of a newly established SEIRB system, both qualitative and quantitative evaluations are conducted. The reproductive number is derived to observe the infection spread rate among patients. Additionally, sensitivity analyses are performed to assess the impact of each parameter and to determine the rate of change in each. The existence of positive solutions with linear growth has been verified using global derivatives, and the level of effect in each subsection is determined through the application of Lipschitz criteria. By employing Lyapunov's first derivative of the function, the framework is analyzed for global stability to evaluate the overall effect of both symptomatic and asymptomatic measures following early detection interventions. The Mittag-Leff1er kernel is utilized to obtain a robust solution via a fractal-fractional operator, enabling continuous monitoring for improved control measures. Simulations are performed to assess the global impact of both symptomatic and asymptomatic consequences of cholera and to observe the actual behavior of the disease. It has been confirmed that individuals with strong immune systems will recover efficiently if the infection is diagnosed early through timely detection measures. This analysis provides insight into the current state of cholera control, comparing outcomes for those receiving treatment and those whose robust immune systems negate the need for medication. Such investigations will enhance our understanding of disease transmission and support the development of effective control strategies based on our validated findings.

Indexed as

CholeraEpidemicsEpidemiological ModelsModels, TheoreticalComputer SimulationEarly DiagnosisHumans

Identifiers

PMID40163805
PMCPMC11957560

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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.