BioMed Research International / 2020 / Article / Alg 1

Research Article

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

Algorithm 1

Input: one-year hospitalization data caused by influenza;
Output: the tipping point of the flu outbreak of this year.
 1: Model a city network for a specific city
 2: Map the hospitalization data into the corresponding nodes in the network
 3: for week in a certain year do
 4: for each edge do
 5:  Weight the edge with
 6: end for/obtained a weighted undirected graph /
 7: obtained the minimum spanning tree using Algorithm 2/
 8: Calculate the minimum spanning tree’s weight sum as the MST-DNB score
 9: ifthen /the parameter was trained by other year’s dataset/
10:  the week is deemed to the tipping point
11:  Break
12: end if
13: end for

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