Consequences of non-Markovian healing processes on epidemic models with recurrent infections on networks

Consequences of non-Markovian healing processes on epidemic models with recurrent infections on networks

Infectious diseases are marked by recovering time distributions which can be far from the exponential one associated with Markovian/Poisson processes, broadly applied in epidemic models. In the present work, we tackled this problem by investigating a susceptible-infected-recovered-susceptible model...

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Bibliographic Details
Main Authors: José Carlos M Silva, Diogo H Silva, Francisco A Rodrigues, Silvio C Ferreira
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:New Journal of Physics
Subjects:
complex networks
epidemic processes
non-Markovian dynamics
Online Access:https://doi.org/10.1088/1367-2630/ada795
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https://doi.org/10.1088/1367-2630/ada795

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