Spreading dynamic of a fractional network-based SIQR epidemic model with fuzzy transmission rate
DOI:
https://doi.org/10.56764/hpu2.jos.2022.1.1.16-30Abstract
For better understanding the influence of heterogeneity of complex networks and quarantine treatment on epidemic spreading, we present a study on a fractional network-based epidemic model with fuzzy transmission. Based on the next-generation method, we determine an important threshold value of the epidemiology theory, say Then, we indicate that significantly depends on the topology structure of the network and malware load. Next, we prove that the threshold value not only determines the unique existence of endemic equilibrium but also ensures the clean of malware programs on the network
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