In this article, we mainly consider the dynamic analysis of a stochastic infectious disease model with negative feedback, symmetric and compatible distribution family. Based on sir epidemic taking into account isolation (y) death (v), adding new variable (w) to control information non-drug interventions, which measures transformations in performance that determine epidemic, establish model. We ...

Monitored infection and vaccination rates during past waves of the coronavirus are used to infer a posteriori two-key parameter SIRV epidemic model, namely, real-time variation in (i) ratio recovery rate (ii) rate. We demonstrate that using classical SIR between tends overestimate true ratio, which is relevance predicting dynamics an presence vaccinations.

In contrast to the conventional wisdom that scale-free networks are prone to epidemic propagation, in the paper we present that disease spreading is inhibited in fractal scale-free networks. We first propose a novel network model and show that it simultaneously has the following rich topological properties: scale-free degree distribution, tunable clustering coefficient, “large-world” behavior, ...

We consider a stochastic model for the spread of an SIR (susceptible ! infective ! removed) epidemic among a closed, nite population that contains several types of individuals and is partitioned into households. The infection rate between two individuals depends on the types of the transmitting and receiving individuals and also on whether the infection is local (i.e. within a household) or glo...