Effects of fish-human transmission and different life stages of fish on Clonorchiasis: A novel mathematical model.

Basic reproduction number Clonorchiasis Fish-human transmission Global stability Larval fish Sensitivity analysis

Journal

Mathematical biosciences
ISSN: 1879-3134
Titre abrégé: Math Biosci
Pays: United States
ID NLM: 0103146

Informations de publication

Date de publication:
14 May 2024
Historique:
received: 03 12 2023
revised: 05 02 2024
accepted: 12 05 2024
medline: 17 5 2024
pubmed: 17 5 2024
entrez: 16 5 2024
Statut: aheadofprint

Résumé

Clonorchiasis is a zoonotic disease mainly caused by eating raw fish and shrimp, and there is no vaccine to prevent it. More than 30 million people are infected worldwide, of which China alone accounts for about half, and is one of the countries most seriously affected by Clonorchiasis. In this work, we formulate a novel Ordinary Differential Equation (ODE) model to discuss the biological attributes of fish within authentic ecosystems and the complex lifecycle of Clonorchis sinensis. This model includes larval fish, adult fish, infected fish, humans, and cercariae. We derive the basic reproduction number and perform a rigorous stability analysis of the proposed model. Numerically, we use data from 2016 to 2021 in Guangxi, China, to discuss outbreaks of Clonorchiasis and obtain the basic reproduction number R

Identifiants

pubmed: 38754625
pii: S0025-5564(24)00069-5
doi: 10.1016/j.mbs.2024.109209
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

109209

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Wei Wang (W)

College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao 266590, China. Electronic address: weiwang10437@sdust.edu.cn.

Xiaohui Huang (X)

College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao 266590, China. Electronic address: xiaohuihuang@sdust.edu.cn.

Hao Wang (H)

Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB T6G 2G1, Canada. Electronic address: hao8@ualberta.ca.

Classifications MeSH