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Open AccessBiased versus unbiased numerical methods for stochastic simulations
Approximate numerical methods are one of the most used strategies to extract information from many-interacting-agents systems. In particular, numerical approximations are of extended use to deal with epidemic,...
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Open AccessEndemic infectious states below the epidemic threshold and beyond herd immunity
The COVID-19 pandemic exhibits intertwined epidemic waves with anomalous fade-outs characterized by persistent low prevalence. These long-living epidemic states complicate epidemic control and challenge curren...
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Open AccessThe noisy voter model on complex networks
We propose a new analytical method to study stochastic, binary-state models on complex networks. Moving beyond the usual mean-field theories, this alternative approach is based on the introduction of an anneal...