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Found 4 papers, 1 papers with code
Necessary and sufficient conditions for exact closures of epidemic equations on configuration model networks
We prove that the exact closure of SIR pairwise epidemic equations on a configuration model network is possible if and only if the degree distribution is Poisson, Binomial, or Negative Binomial.
Dynamic Survival Analysis for non-Markovian Epidemic Models
We present a new method for analyzing stochastic epidemic models under minimal assumptions.
Probabilistic predictions of SIS epidemics on networks based on population-level observations
To exploit this in a prediction framework, the exact high-dimensional stochastic model of an SIS epidemic on a network is approximated by a lower-dimensional surrogate model.
Beyond COVID-19: Network science and sustainable exit strategies
On May $28^{th}$ and $29^{th}$, a two day workshop was held virtually, facilitated by the Beyond Center at ASU and Moogsoft Inc.
Physics and Society
