Visualizing statistical significance of disease clusters using cartograms
Abstract Background Health officials and epidemiological researchers often use maps of disease rates to identify potential disease clusters. Because these maps exaggerate the prominence of low-density districts and hide potential clusters in urban (high-density) areas, many researchers have used den...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2017-05-01
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| Series: | International Journal of Health Geographics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12942-017-0093-9 |