Spatial Visualization of Cluster-Specific COVID-19 Transmission Network in South Korea During the Early Epidemic Phase

James Yeongjun Park

Although it may be clear that the 31st case in the Daegu cluster is a super-spreader, it is uncertain who is the super-spreader in the capital area cluster. Out of 15 distinct cases in the network, nine cases have reported degrees in the dataset (number of contacts), which allows the use of centrality algorithms to understand the role of particle nodes in a graph and their impact on this transmission network. denotes the degree of the â„Ž case. Since six nodes are missing degrees, the population average degree is used to impute missing degree information. We define a population degree , which is calculated after imputing missing degrees with an assumption that every node in the network is independent of each other. Table 1 shows the number of degrees for each case before and after imputation. case number degree degree imputed 3 16 16 6 17 17 10 43 43 11 0 0 21 6 6 28 1 1 29 117 117 30 27 27 56 32 83 32 112 32 136 32 362 32 1257 32 1913 61 61 Table 1 . Number of degrees in the capital cluster before after imputation . CC-BY 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.