Selected article for: "infected individual and stochastic process"

Author: Omer Karin; Yinon M. Bar-On; Tomer Milo; Itay Katzir; Avi Mayo; Yael Korem; Boaz Dudovich; Amos J. Zehavi; Nadav Davidovich; Ron Milo; Uri Alon
Title: Adaptive cyclic exit strategies from lockdown to suppress COVID-19 and allow economic activity
  • Document date: 2020_4_7
  • ID: 5xfgmi2n_44
    Snippet: We also simulated a stochastic SEIR process on social contact networks. Each node i represents an individual and can be in a susceptible, exposed, infected or removed state (i.e. quarantined, recovered or dead). Lifetime in the E and I states is drawn from an Erlang distribution with means and . The total infectivity of a node is drawn from a T E T I β i long tailed distribution to account for super-spreaders. The probability of infection per so.....
    Document: We also simulated a stochastic SEIR process on social contact networks. Each node i represents an individual and can be in a susceptible, exposed, infected or removed state (i.e. quarantined, recovered or dead). Lifetime in the E and I states is drawn from an Erlang distribution with means and . The total infectivity of a node is drawn from a T E T I β i long tailed distribution to account for super-spreaders. The probability of infection per social link j, , is set either constant for all links connected to node i or drawn from an q ij exponential distribution to account for heterogeneity in infection rates. Node states are updated at each time step. Network models include Erdos-Renyi and small world networks. During lockdown, a fraction of the links are inactivated (same links for each lockdown phase).

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