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_61
Snippet: We started with the proposed disease dispersal network, which consisted of connections (or 'joins') between districts. Each day a district was coded black (B) if it reported a SARS case on that day; otherwise it was coded white (W). Every joint in the network linked two B districts (BB), two W districts (WW) or a B and a W district (BW). The observed number of BW joins was compared with the expected number, and a standard normal deviation (zscore.....
Document: We started with the proposed disease dispersal network, which consisted of connections (or 'joins') between districts. Each day a district was coded black (B) if it reported a SARS case on that day; otherwise it was coded white (W). Every joint in the network linked two B districts (BB), two W districts (WW) or a B and a W district (BW). The observed number of BW joins was compared with the expected number, and a standard normal deviation (zscores) was used to test the significance. 39, 40 High negative values of the statistics indicated evidence of clustering of cases on the network and high positive values indicated evidence of spacing. The statistics are as follows:
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