A new view of multiscale stochastic impulsive systems for modeling and control of epidemics

Abstract 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.

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