Impact of human behavior on the perpetuation of the Echinococcus granulosus life cycle: A mathematical approach.

IF 2.6 4区 工程技术 Q1 Mathematics
Richard Lagos, Andrei González-Galeano, Jaleydi Cárdenas-Poblador, Álvaro Mella-Parra, María Esther Leyva-Borges
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Abstract

This study presents, as a proof-of-concept, a mathematical model describing the transmission dynamics of cystic echinococcosis. This neglected zoonosis is caused by the larval stage of Echinococcus granulosus s.l. involving dogs and sheep as definitive hosts and sheep as intermediate hosts. The model incorporates the dual role of humans as final hosts and as active participants in the parasite's transmission cycle through practices such as feeding dogs with infected viscera. A system of nine ordinary differential equations represents human subpopulations (children and adults) and the concentration of viable parasite eggs. The basic reproductive number ($ R_0 $) was computed via the next-generation matrix approach, and bifurcation analysis indicated a forward bifurcation at $ R_{0} = 1, $ confirming that $ R_{0} < 1 $ ensures disease control. Global sensitivity analysis using Sobol indices identified the infestation rate ($ \beta $) and adult transmission rate ($ \beta_{AG} $) as the most influential parameters, explaining 35.9% and 29.9% of $ R_0 $ variance, respectively. These findings highlight that interventions reducing $ \beta $ and $ \beta_{AG} $ may effectively decrease human infection rates.

人类行为对细粒棘球绦虫生命周期延续的影响:数学方法。
本研究提出,作为一个概念证明,描述囊性包虫病的传播动力学的数学模型。这种被忽视的人畜共患病是由细粒棘球绦虫的幼虫期引起的,以狗和羊为最终宿主,羊为中间宿主。该模型结合了人类作为最终宿主和作为寄生虫传播周期的积极参与者的双重角色,例如通过喂养带有受感染内脏的狗。一个由九个常微分方程组成的系统表示人类亚群(儿童和成人)和寄生虫卵的浓度。通过新一代矩阵法计算基本繁殖数($ R_0 $),分岔分析表明,在$ R_{0} = 1处出现正向分岔,证实$ R_{0} < 1 $确保疾病得到控制。利用Sobol指数进行全局敏感性分析,侵染率($ \beta $)和成虫传播率($ \beta_{AG} $)是影响最大的参数,分别解释了$ R_0 $方差的35.9%和29.9%。这些发现强调,减少$ \ β $和$ \ β _{AG} $的干预措施可能有效地降低人类感染率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Mathematical Biosciences and Engineering
Mathematical Biosciences and Engineering 工程技术-数学跨学科应用
CiteScore
3.90
自引率
7.70%
发文量
586
审稿时长
>12 weeks
期刊介绍: Mathematical Biosciences and Engineering (MBE) is an interdisciplinary Open Access journal promoting cutting-edge research, technology transfer and knowledge translation about complex data and information processing. MBE publishes Research articles (long and original research); Communications (short and novel research); Expository papers; Technology Transfer and Knowledge Translation reports (description of new technologies and products); Announcements and Industrial Progress and News (announcements and even advertisement, including major conferences).
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