Evidence map›Paper›PMID 40435153›Full record

ArticlePloS one2025

Numerical solutions of a fractional order SEIR epidemic model of measles under Caputo fractional derivative.

Nawa A Alshammari, N S Alharthi, Abdulkafi Mohammed Saeed, Adnan Khan, Abdul Hamid Ganie

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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 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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

5 authors.

Nawa A AlshammariBasic Science Department, College of Science and Theoretical Studies, Saudi Electronic University, Riyadh, Saudi Arabia.ORCID https://orcid.org/0000-0003-2382-6553
N S AlharthiDepartment of Mathematics, Faculty of Sciences and Arts, King Abdulaziz University, Rabigh, Saudi Arabia.
Abdulkafi Mohammed SaeedDepartment of Mathematics, College of Science, Qassim University, Buraydah, Saudi Arabia.
Adnan KhanDepartment of Mathematics, Abdul Wali Khan University Mardan, Mardan, Pakistan.
Abdul Hamid GanieBasic Science Department, College of Science and Theoretical Studies, Saudi Electronic University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measles is a highly contagious illness that can spread throughout a population based on the number of susceptible or infected individuals as well as their social dynamics within the society. The measles epidemic is thought to be controlled for the suffering population using the susceptible-exposed-infectious-recovered (SEIR) epidemic model, which depicts the direct transmission of infectious diseases. To better explain the measles epidemics, we provided a nonlinear time fractional model of the disease. The solution of SEIR is obtained by using the Caputo fractional derivative operator of order [Formula: see text]. The Homotopy perturbation transform method (HPTM) and Yang transform decomposition methodology (YTDM) have been employed to obtain the numerical solution of the time fractional model. Obtaining numerical findings in the form of a fast-convergent series significantly improves the proposed techniques accuracy. The behaviour of the approximate series solution for several fractional orders is shown graphically which are derived through Maple. A graphic representation of the behaviours of susceptible, exposed, infected, and recovered individuals are shown at different fractional order values. Figures that depict the behaviour of the projected model are used to illustrate the developed results. Finally, the present work may help you predict the behaviour of the real-world models in the wild class with respect to the model parameters. It was found that the majority of patients who receive therapy join the recovered class when various epidemiological classes were simulated at the effect of fractional parameter [Formula: see text]. These approaches shows to be one of the most efficient methods to solve epidemic models and control infectious diseases.

Indexed as

EpidemicsEpidemiological ModelsMeaslesAlgorithmsHumansModels, Theoretical

Identifiers

PMID40435153
PMCPMC12118900

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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.