Research Article

Real-Time Forecast of Influenza Outbreak Using Dynamic Network Marker Based on Minimum Spanning Tree

Figure 5

The comparison result of the MST-DNM method on the presence or absence of the minimum spanning tree in 2010. (a) The early-warning signal of a DNM method without the minimum spanning tree is far away from the real influenza outbreak point; however, the MST-method’s is measurable. (b) The minimum spanning tree avoids abnormal correlations around node 7 in week 45, through which the MST-DNM method is more accurate.
(a)
(b)