Dynamic state expansion with infection memory improves pair approximation accuracy for SIS epidemic threshold and quasi-stationary distribution on arbitrary networks.
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2 Pith papers cite this work, alongside 243 external citations. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
Establishes a comparison principle for two-population killed-particle HJB equations on decomposed state spaces of alive measures and cemetery masses, plus mean-field limit and particle convergence results.
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Threshold and quasi-stationary distribution for the SIS model on networks
Dynamic state expansion with infection memory improves pair approximation accuracy for SIS epidemic threshold and quasi-stationary distribution on arbitrary networks.
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Controlled McKean--Vlasov Contagion with State-Dependent Killing
Establishes a comparison principle for two-population killed-particle HJB equations on decomposed state spaces of alive measures and cemetery masses, plus mean-field limit and particle convergence results.