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Impact of reproduction number on the multiwave spreading dynamics of COVID-19 with temporary immunity: A mathematical model

机译:具有临时免疫的Covid-19多波扩散动态的繁殖数量:数学模型

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Objectives The recent discoveries of phylogenetically confirmed COVID-19 reinfection cases worldwide, together with studies suggesting that antibody titres decrease over time, raise the question of what course the epidemic trajectories may take if immunity were really to be temporary in a significant fraction of the population. The objective of this study is to obtain an answer for this important question. Methods We construct a ground-up delay differential equation model tailored to incorporate different types of immune response. We considered two immune responses: ( a ) short-lived immunity of all types, and ( b ) short-lived sterilizing immunity with durable severity-reducing immunity. Results Multiple wave solutions to the model are manifest for intermediate values of the reproduction number R ; interestingly, for sufficiently low as well as sufficiently high R , we find conventional single-wave solutions despite temporary immunity. Conclusions The versatility of our model, and its very modest demands on computational resources, ensure that a set of disease trajectories can be computed virtually on the same day that a new and relevant immune response study is released. Our work can also be used to analyse the disease dynamics after a vaccine is certified for use and information regarding its immune response becomes available.
机译:目标最近的系统发育证实的Covid-19全世界的研究,以及提出抗体滴度随着时间的推移而降低的研究,提出了这种课程,这种课程可能在豁免处于大部分人群中暂时临时何种问题。本研究的目的是获得这个重要问题的答案。方法构建针对不同类型的免疫应答量身定制的地延迟微分方程模型。我们考虑了两种免疫应答:(a)所有类型的短暂免疫力,(b)短暂的灭菌免疫力,耐用严重程度降低免疫力。结果模型对模型的多个波解决方案表现为再现号码的中间值;有趣的是,对于足够低的和足够高的R,我们发现传统的单波解决方案尽管暂时免疫力。结论我们模型的多功能性及其对计算资源的最适权需求,确保在释放新的和相关免疫反应研究的同一天可以计算一组疾病轨迹。我们的作品也可用于分析疫苗经过认证的疾病动力学,并提供有关其免疫应答的信息。

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