带囊尾蚴病生命周期的数学模型:传播动力学和化疗(上)。

Q1 Mathematics
Marco V José, Juan R Bobadilla, Norma Y Sánchez-Torres, Juan Pedro Laclette
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引用次数: 14

摘要

背景:猪带绦虫病是人类带绦虫病、猪囊尾蚴病和人脑囊虫病的病原,这些疾病是严重的公共卫生问题,尤其是在发展中国家。方法:建立带绦虫囊尾蚴病传播动力学的数学模型。该模型由一个耦合的微分方程组组成,微分方程组是用于描述寄生虫在整个生命周期中流动的密度相关方程。该模型是混合的,因为它包括具有随机元素的确定性方程,这些随机元素描述了平均寄生虫负担的变化,并结合了寄生虫分布的总体模式。结果:进行了敏感性和分叉分析,以确定模型的值范围。该模型可以重现观察到的人带绦虫病、猪和人囊尾蚴病的流行病学模式。例如,对于大范围的参数值,成年蠕虫的平均强度往往在每个宿主一个寄生虫中迅速稳定。从这个模型中,我们还导出了一个易感感染模型来描述人类和猪的感染流行率。对猪囊尾蚴病或人带绦虫病的化疗干预可以快速有效地降低人带绦虫、猪囊尾虫和人囊尾蚴的平均强度。即使药物的保护效力在90%的数量级并且覆盖率为90%,也可以实现这种效果。这意味着,感染成年蠕虫或囊尾蚴的人类的健康可以通过应用抗猪囊尾蚴病的驱虫药物来实现。然而,单独治疗人类囊尾蚴病,对人类tenosis和猪囊虫病都没有影响。这是因为人类囊尾蚴感染不影响基本繁殖数(Ro)的值。结论:即使使用100%的驱虫药也不能消除感染。然后,仅仅通过化疗干预来消除所有宿主的感染似乎并不是一个可行的目标。在整个手稿中,我们的模型在其他带绦虫囊尾蚴病模型的背景下进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Mathematical model of the life cycle of taenia-cysticercosis: transmission dynamics and chemotherapy (Part 1).

Mathematical model of the life cycle of taenia-cysticercosis: transmission dynamics and chemotherapy (Part 1).

Mathematical model of the life cycle of taenia-cysticercosis: transmission dynamics and chemotherapy (Part 1).

Mathematical model of the life cycle of taenia-cysticercosis: transmission dynamics and chemotherapy (Part 1).

Background: Taenia solium is the aetiological agent of human taeniasis, pig cysticercosis and human neurocysticercosis, which are serious public health problems, especially in developing countries.

Methods: A mathematical model of the transmission dynamics of taeniasis-cysticercosis is formulated. The model consists of a coupled system of differential equations, which are density-dependent equations for describing the flow of the parasite through the life cycle. The model is hybrid since it comprises deterministic equations with stochastic elements which describe changes in the mean parasite burden and incorporates the overall pattern of the parasites' distribution.

Results: Sensitivity and bifurcation analyses were carried out to determine the range of values of the model. The model can reproduce the observed epidemiological patterns of human taeniasis, pig and human cysticercosis. For example, for a wide range of parameter values, the mean intensity of adult worms tends to rapidly stabilize in one parasite per individual host. From this model, we also derived a Susceptible-Infected model to describe the prevalence of infection in humans and pigs. Chemotherapeutic interventions against pig cysticercosis or human taeniasis may reduce rapidly and effectively the mean intensity of human taeniasis, pig cysticercosis and human cysticercosis. This effect can be achieved even if the protective efficacy of the drug is of the order of 90% and the coverage rate is 90%. This means that health in humans infected either with adult worms or cysticerci may be achieved by the application of anthelmintic drugs against pig cysticercosis. However, treatment against human cysticercosis alone, does not influence neither human teniasis nor pig cysticercosis. This is because human cysticercosis infection does not influence the value of the basic reproductive number (Ro).

Conclusions: Even coverage of 100% in the administration of anthelmintics did not eliminate the infection. Then elimination of the infection in all hosts does not seem a feasible goal to achieve by administering only chemotherapeutic interventions. Throughout the manuscript a discussion of our model in the context of other models of taeniasis-cysticercosis is presented.

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来源期刊
Theoretical Biology and Medical Modelling
Theoretical Biology and Medical Modelling MATHEMATICAL & COMPUTATIONAL BIOLOGY-
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审稿时长
6-12 weeks
期刊介绍: Theoretical Biology and Medical Modelling is an open access peer-reviewed journal adopting a broad definition of "biology" and focusing on theoretical ideas and models associated with developments in biology and medicine. Mathematicians, biologists and clinicians of various specialisms, philosophers and historians of science are all contributing to the emergence of novel concepts in an age of systems biology, bioinformatics and computer modelling. This is the field in which Theoretical Biology and Medical Modelling operates. We welcome submissions that are technically sound and offering either improved understanding in biology and medicine or progress in theory or method.
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