A Stochastic SVIR Model for Measles

M. Seydou, Ousmane Moussa Tessa
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Abstract

In this article, we consider the construction of a SVIR (Susceptible, Vaccinated, Infected, Recovered) stochastic compartmental model of measles. We prove that the deterministic solution is asymptotically the average of the stochastic solution in the case of small population size. The choice of this model takes into account the random fluctuations inherent to the epidemiological characteristics of rural populations of Niger, notably a high prevalence of measles in children under 5, coupled with a very low immunization coverage.
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麻疹的随机SVIR模型
在本文中,我们考虑建立一个SVIR(易感、接种、感染、恢复)麻疹随机区室模型。证明了在小总体规模情况下,确定性解是随机解的渐近平均值。这一模式的选择考虑到尼日尔农村人口流行病学特征固有的随机波动,特别是5岁以下儿童的麻疹流行率很高,同时免疫覆盖率很低。
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
自引率
10.00%
发文量
33
期刊介绍: Applied Mathematics promotes the integration of mathematics with other scientific disciplines, expanding its fields of study and promoting the development of relevant interdisciplinary subjects. The journal mainly publishes original research papers that apply mathematical concepts, theories and methods to other subjects such as physics, chemistry, biology, information science, energy, environmental science, economics, and finance. In addition, it also reports the latest developments and trends in which mathematics interacts with other disciplines. Readers include professors and students, professionals in applied mathematics, and engineers at research institutes and in industry. Applied Mathematics - A Journal of Chinese Universities has been an English-language quarterly since 1993. The English edition, abbreviated as Series B, has different contents than this Chinese edition, Series A.
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