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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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Detalles Bibliográficos
Autores principales:	Kronenfeld, Barry J., Wong, David W. S.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2017
Materias:	Methodology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5433035/ https://www.ncbi.nlm.nih.gov/pubmed/28506288 http://dx.doi.org/10.1186/s12942-017-0093-9

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