Stochastic extinction and persistence of a heterogeneous epidemiological model

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-07-23 DOI:10.1007/s12190-024-02191-4
Hetsron L. Nyandjo-Bamen, Jean Marie Ntaganda, Aurélien Tellier, Olivier Menoukeu-Pamen
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Abstract

We formulate a stochastic differential equation(SDE) model from a deterministic model of imperfect vaccination building on a recent analytical approach of We suggest it appears as Allen et al [5] 81(2):487-515, 2020. https://doi.org/10.1007/s00285-020-01516-8), which derivation procedure is based on the elementary events occurring during the epidemiological dynamics and their corresponding probabilities. We prove the global existence of a unique weak non-negative solution starting from the non-negative initial value of the formulated model. We compute the conditions under which extinction and persistence in mean hold, and illustrate our theoretical results using numerical simulations. Determining the stochastic outcome of epidemiological dynamics under imperfect vaccination is important to optimize vaccination campaigns.

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异质性流行病学模型的随机消亡和持续性
我们从不完全性疫苗接种的确定性模型出发,根据艾伦等人[5][81(2):487-515, 2020. https://doi.org/10.1007/s00285-020-01516-8]的最新分析方法建立了一个随机微分方程(SDE)模型,其推导过程基于流行病学动态过程中发生的基本事件及其相应概率。我们证明了从所建立模型的非负初始值开始,唯一弱非负解的全局存在性。我们计算了平均值中灭绝和持续存在的条件,并用数值模拟说明了我们的理论结果。确定不完全接种情况下流行病动态的随机结果对于优化疫苗接种活动非常重要。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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