Selected article for: "contact network and power law"
Author: Pei, Sen; Morone, Flaviano; Liljeros, Fredrik; Makse, Hernán; Shaman, Jeffrey L
Title: Inference and control of the nosocomial transmission of methicillin-resistant Staphylococcus aureus
  • Document date: 2018_12_18
    • ID: 0dut9fjn_58
    Snippet: The distribution of patient time in hospital follows a power-law shape with a heavy tail (see Figure 1 -figure supplement 2C). Such heterogeneity leads to high spatiotemporal contact network complexity. In fact, the contact time between all pairs of patients follows a similar power-law distribution, as shown in the upper inset of Figure 1 -figure supplement 2C. The readmission time, that is, individual patient time between discharge and next admi.....
    Document: The distribution of patient time in hospital follows a power-law shape with a heavy tail (see Figure 1 -figure supplement 2C). Such heterogeneity leads to high spatiotemporal contact network complexity. In fact, the contact time between all pairs of patients follows a similar power-law distribution, as shown in the upper inset of Figure 1 -figure supplement 2C. The readmission time, that is, individual patient time between discharge and next admission, is a key parameter in MRSA transmission models. The lower inset of Figure 1 -figure supplement 2C indicates that this readmission time is also quite heterogeneous, spanning from several days to up to a few years.

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