Building Networks of Hospitals Through Patients Transfers
Check and fix overlapping admissions.
Summary statistics on entire database
General check function
Check database format
Create a fake subject database with clustering
Create a fake subject database
Create a fake subject stay
Compute the edgelist of a network from a database of movements records...
Compute the betweenness centrality
Compute closeness
Compute the clusters
Compute the degree of each nodes in the network
Function computing hub scores of nodes by group
Function computing hub scores for each node. If bycluster = TRUE, hub ...
Function returning matrices of transfers within each by clusters
Compute network metrics
Create HospiNet object from subject database
Class providing the HospiNet object with its methods
Compute the adjacency matrix of a network from a database of movements...
Compute the adjacency matrix of a network from its edgelist
Function that extracts summary statistics from entire database
Set of tools to help interested researchers to build hospital networks from data on hospitalized patients transferred between hospitals. Methods provided have been used in Donker T, Wallinga J, Grundmann H. (2010) <doi:10.1371/journal.pcbi.1000715>, and Nekkab N, Crépey P, Astagneau P, Opatowski L, Temime L. (2020) <doi:10.1038/s41598-020-71212-6>.
Useful links