A new view of multiscale stochastic impulsive systems for modeling and control of epidemics
A new view of multiscale stochastic impulsive systems for modeling and control of epidemics
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DOI：
10.1016/j.arcontrol.2019.06.002
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发表时间：
2019-01-01
影响因子：
9.4
通讯作者：
Tetteh, Josephine
中科院分区：
文献类型：
--
作者：
Hernandez-Vargas, Esteban A.;Alanis, Alma Y.;Tetteh, Josephine
传染病是对人类的潜在威胁，每年在全世界造成数百万人死亡。疾病传播建模和控制仍然是科学的核心难题，因为它涉及几个复杂和动态的过程。在这篇论文中。结合接触模式的多尺度随机脉冲模型可以更精确地描述疾病的爆发和流行。新的数学模型家族在控制理论领域开辟了一条新的道路，具有长期的影响和控制流行病的充分机会。(C)2019爱思唯尔有限公司版权所有。
Infectious diseases are latent threats to humankind killing annually millions worldwide. Disease transmission modeling and control remain a central vexation for science as it involves several complex and dynamic processes. In this paper. multiscale stochastic impulsive models in combination with contact patterns are presented to describe outbreaks and epidemics more accurately. The new families of mathematical models open up a new path within the field of control theory with long-term impact and ample opportunities to control epidemics. (C) 2019 Elsevier Ltd. All rights reserved.