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Studies from University of Tokyo Further Understanding of Mathematics (An Age-structured Epidemic Model With Boosting and Waning of Immune Status)

机译:进一步研究从东京大学数学(一个非自治的理解流行病模型的免疫增强和减弱状态)

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2021 SEP 27 (NewsRx) - By a News Reporter-Staff News Editor at Disease Prevention Daily - New research on Mathematics is the subject of a report. According to news reporting from Tokyo, Japan, by NewsRx journalists, research stated, "In this paper, we developed an age-structured epidemic model that takes into account boosting and waning of immune status of host individuals. For many infectious diseases, the immunity of recovered individuals may be waning as time evolves, so reinfection could occur, but also their immune status could be boosted if they have contact with infective agent." Funders for this research include Japan Society for the Promotion of Science, Japan Society for the Promotion of Science. The news correspondents obtained a quote from the research from the University of Tokyo, "According to the idea of the Aron's malaria model, we incorporate a boosting mechanism expressed by reset of recovery-age (immunity clock) into the SIRS epidemic model. We established the mathematical well-posedness of our formulation and showed that the initial invasion condition and the endemicity can be characterized by the basic reproduction number R-0. Our focus is to investigate the condition to determine the direction of bifurcation of endemic steady states bifurcated from the disease-free steady state, because it is a crucial point for disease prevention strategy whether there exist subcritical endemic steady states. Based on a recent result by Martcheva and Inaba [1], we have determined the direction of bifurcation that endemic steady states bifurcate from the disease-free steady state when the basic reproduction number passes through the unity."
机译:2021年9月27日(NewsRx)——由一个新闻记者新闻编辑在日常——新疾病预防数学是研究的主题报告。NewsRx记者,日本研究说,在本文中,我们开发了一个非自治流行病模型,考虑增加和减弱免疫宿主个体的地位。对于许多传染病的免疫力恢复个人可能随着时间减弱的发展,所以再感染可以发生,但也如果他们有可能提升他们的免疫状态接触传染物。”研究促进包括日本社会促进科学,日本社会科学。东京大学的研究,“根据阿伦的疟疾模型,我们将促进机制表达的重置recovery-age(免疫力时钟)的SIRS传染病模型。建立了数学的适定性问题我们制定和表明最初的入侵条件和地方的特性以基本的繁殖数量R-0。确定分岔的流行的方向从无病稳定状态分为两部分稳定状态,因为它是一个关键疾病预防策略是否存在亚临界特有的稳定状态。最近的结果由Martcheva和稻叶型[1],我们有分岔的方向决定的流行分叉的稳定状态无病基本稳定状态繁殖数量通过团结。”

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