Mathematical epidemiological modeling and analysis of monkeypox dynamism with non-pharmaceutical intervention using real data from United Kingdom.

Caputo-Fabrizio fractional derivative data fitting numerical scheme parameter estimation reproduction number

Journal

Frontiers in public health
ISSN: 2296-2565
Titre abrégé: Front Public Health
Pays: Switzerland
ID NLM: 101616579

Informations de publication

Date de publication:
2023
Historique:
received: 17 11 2022
accepted: 16 01 2023
entrez: 6 3 2023
pubmed: 7 3 2023
medline: 8 3 2023
Statut: epublish

Résumé

In this study, a mathematical model for studying the dynamics of monkeypox virus transmission with non-pharmaceutical intervention is created, examined, and simulated using real-time data. Positiveness, invariance, and boundedness of the solutions are thus examined as fundamental features of mathematical models. The equilibrium points and the prerequisites for their stability are achieved. The basic reproduction number and thus the virus transmission coefficient ℜ

Identifiants

pubmed: 36875378
doi: 10.3389/fpubh.2023.1101436
pmc: PMC9982733
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1101436

Informations de copyright

Copyright © 2023 Ngungu, Addai, Adeniji, Adam and Oshinubi.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

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Auteurs

Mercy Ngungu (M)

Human Sciences Research Council (HSRC), Pretoria, South Africa.

Emmanuel Addai (E)

Department of Biomedical Engineering, College of Biomedical Engineering, Taiyuan University of Technology, Taiyuan, China.
Department of Mathematics, Taiyuan University of Technology, Taiyuan, China.

Adejimi Adeniji (A)

Department of Mathematics, Tshwane University of Technology, Pretoria, South Africa.

Umar Muhammad Adam (UM)

Department of Mathematics, Federal University, Dutse, Nigeria.

Kayode Oshinubi (K)

AGEIS Laboratory, University Grenoble Alpes, Saint Martin d'Hères, France.

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Classifications MeSH