Selected article for: "network joint and normal deviation"

Author: Wang, Jin-Feng; Christakos, George; Han, Wei-Guo; Meng, Bin
Title: Data-driven exploration of ‘spatial pattern-time process-driving forces’ associations of SARS epidemic in Beijing, China
  • Document date: 2008_4_26
  • ID: 2nko37oo_18
    Snippet: The Black-White (BW) join-count test (Appendix 5) was used to measure the extent to which districts of a disease network shared the same infection pattern. We started with an initial disease dispersal network, which consisted of connections (or joints) between districts. Each day a district was coded black (B) if a SARS case was reported on that day; otherwise it was coded white (W). Every network joint connected two B districts (BB), two W distr.....
    Document: The Black-White (BW) join-count test (Appendix 5) was used to measure the extent to which districts of a disease network shared the same infection pattern. We started with an initial disease dispersal network, which consisted of connections (or joints) between districts. Each day a district was coded black (B) if a SARS case was reported on that day; otherwise it was coded white (W). Every network joint connected two B districts (BB), two W districts (WW), or a B and a W district (BW). The observed number of BW joints was compared with the expected number, and a standard normal deviation (z-score) was used to test the significance.

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