Evidence map›Paper›PMID 39103482›Full record

ArticleScientific reports2024

Computational investigation of stochastic Zika virus optimal control model using Legendre spectral method.

Junjie Zhu, Feroz Khan, Sami Ullah Khan, Wojciech Sumelka, Farman U Khan, Salman A AlQahtani

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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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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Junjie ZhuSchool of Mathematics, Shandong University, Jinan, 250100, China.
Feroz KhanDepartment of Mathematics, City University of Science and Information Technology Peshawar, Peshawar, KP, 2500, Pakistan.
Sami Ullah KhanDepartment of Mathematics, City University of Science and Information Technology Peshawar, Peshawar, KP, 2500, Pakistan. samiullah.khan@cusit.edu.pk.
Wojciech SumelkaInstitute of Structural Analysis, Poznan University of Technology, Piotrowo 5 Street, 60-965, Poznan, Poland.
Farman U KhanDepartment of Mathematics, HITEC University, Taxila Cantt, Taxila, 47080, Pakistan.
Salman A AlQahtaniComputer Engineering Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents a computational investigation of a stochastic Zika virus along with optimal control model using the Legendre spectral collocation method (LSCM). By accumulation of stochasticity into the model through the proposed stochastic differential equations, we appropriating the random fluctuations essential in the progression and disease transmission. The stability, convergence and accuracy properties of the LSCM are conscientiously analyzed and also demonstrating its strength for solving the complex epidemiological models. Moreover, the study evaluates the various control strategies, such as treatment, prevention and treatment pesticide control, and identifies optimal combinations that the intervention costs and also minimize the proposed infection rates. The basic properties of the given model, such as the reproduction number, were determined with and without the presence of the control strategies. For

Indexed as

Stochastic ProcessesZika VirusZika Virus InfectionComputer SimulationEpidemiological ModelsHumansBrownian motionControl variablesLegendre polynomialsLegendre spectral collocation methodReproduction numberStochastic asymptotic stabilityZika virus model

Identifiers

PMID39103482
PMCPMC11300638

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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.