<｜begin▁of▁sentence｜>### Instruction:
As a public health educator, you oversee a community-wide health initiative involving a network of local clinics. As part of the program, you are interested in measuring the influence and importance of each clinic within the network. You've gathered data on the connections between the clinics, represented as a graph with the following edges: [(Clinic A, Clinic B), (Clinic A, Clinic C), (Clinic B, Clinic C), (Clinic B, Clinic D)]. Now, you need to calculate and display the harmonic centrality for each clinic using the igraph's harmonic_centrality function to assess their relative impact on the network.
### Response:
import igraph as ig

# Create the graph
edges = [(0, 1), (0, 2), (1, 2), (1, 3)]
g = ig.Graph(edges=edges)

# Calculate the harmonic centrality for all vertices in the graph
harmonic_cent = g.harmonic_centrality()

# Print the harmonic centrality for each vertex
for i, cent in enumerate(harmonic_cent):
    print(f'Vertex {i}: Harmonic Centrality = {cent}')
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