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引用次数: 0
摘要
对流行病的最终规模等总结性测量是一个重要的量,它能让我们大致估算出疾病对受影响地区的影响。近年来,由于登革热、寨卡病毒、基孔肯雅病毒等蚊子传播疾病日益受到关注,病媒传播疾病的最终规模测量变得越来越重要。然而,在适用于病媒传播疾病的阶段结构模型中,对这一估计值的分析表达较少,大多集中在经典的 Kermack-McKendrick 模型中。在本文中,我们首先计算了带载体状态的 SIR 模型和 SEIR-SI 宿主-载体模型的最终规模表达式。然后,我们将其扩展到带有宿主治疗等级的 SEIR-SI 宿主-病媒模型,以及带有病媒群体垂直传播的模型。最后,我们用一些实际情况来验证我们最终的规模表达式。
FINAL SIZE RELATIONS FOR SOME COMPARTMENTAL MODELS IN EPIDEMIOLOGY
The summary measurement of an epidemic such as the final size is an important quantity that allows us to approximate the impact of the disease on the affected region. In recent years, final size measurements for vector-transmitted diseases have acquired importance because of the increased concern for mosquito-borne diseases like dengue, Zika, Chikungunya, etc. However, analytical expressions for this estimate in the stage-structured models applicable to vector-borne diseases are less, mostly focused on the classical Kermack–McKendrick model. In this paper, we first calculate the final size expressions for an SIR model with carrier state and a SEIR–SI host–vector model. Then we extend this for the SEIR–SI host–vector model with treatment class in the host, as well as for the model with vertical transmission in the vector population. Finally, we verify our final size expression with some real scenarios.
期刊介绍:
The Journal of Biological Systems is published quarterly. The goal of the Journal is to promote interdisciplinary approaches in Biology and in Medicine, and the study of biological situations with a variety of tools, including mathematical and general systems methods. The Journal solicits original research papers and survey articles in areas that include (but are not limited to):
Complex systems studies; isomorphies; nonlinear dynamics; entropy; mathematical tools and systems theories with applications in Biology and Medicine.
Interdisciplinary approaches in Biology and Medicine; transfer of methods from one discipline to another; integration of biological levels, from atomic to molecular, macromolecular, cellular, and organic levels; animal biology; plant biology.
Environmental studies; relationships between individuals, populations, communities and ecosystems; bioeconomics, management of renewable resources; hierarchy theory; integration of spatial and time scales.
Evolutionary biology; co-evolutions; genetics and evolution; branching processes and phyllotaxis.
Medical systems; physiology; cardiac modeling; computer models in Medicine; cancer research; epidemiology.
Numerical simulations and computations; numerical study and analysis of biological data.
Epistemology; history of science.
The journal will also publish book reviews.