在易感结构人群中干预引起的流行周期

IF 0.9 Q3 COMPUTER SCIENCE, THEORY & METHODS International Journal of Modeling Simulation and Scientific Computing Pub Date : 2014-10-01 DOI:10.1142/S1793962314410128
D. E. Juanico
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引用次数: 1

摘要

众所周知,传染病的流行是会及时复发的。尽管通过接种疫苗和有针对性地保持社会距离进行了干预,但流感等疾病仍在人群中间歇性地持续存在。我对一个随机流行病模型进行了分析,假设干预驱动流行病周期。研究发现,干预确实会引发流行病活动周期。然而,超过最小干预率,活动就会在有限的时间内消失。社区的易感性结构可以很容易地融入到现有监测协议的设计中。通过跟踪该结构,可以加强对即将爆发的疫情的早期发现。
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Epidemic cycle induced by intervention in a susceptibility-structured population
Epidemics of infectious diseases have been known to recur in time. Diseases like influenza, despite intervention efforts through vaccination and targeted social distancing, continue to persist intermittently in the population. I have undertaken an analysis of a stochastic epidemic model with the hypothesis that intervention drives epidemic cycles. Intervention indeed is found to induce cycles of epidemic activity. Above a minimum intervention rate, however, activity dies out in finite time. The susceptibility structure of a community could be easily infused into the design of existing surveillance protocols. By tracking that structure, early detection of an impending outbreak is enhanced.
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CiteScore
2.50
自引率
16.70%
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0
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