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Visualizing statistical significance of disease clusters using cartograms
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 density-equ...
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| Publicado no: | Int J Health Geogr |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5433035/ https://ncbi.nlm.nih.gov/pubmed/28506288 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12942-017-0093-9 |
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