Using Gini coefficient to determining optimal cluster reporting sizes for spatial scan statistics

BACKGROUND: Spatial and space–time scan statistics are widely used in disease surveillance to identify geographical areas of elevated disease risk and for the early detection of disease outbreaks. With a scan statistic, a scanning window of variable location and size moves across the map to evaluate...

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Detalles Bibliográficos
Autores principales: Han, Junhee, Zhu, Li, Kulldorff, Martin, Hostovich, Scott, Stinchcomb, David G., Tatalovich, Zaria, Lewis, Denise Riedel, Feuer, Eric J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4971627/
https://www.ncbi.nlm.nih.gov/pubmed/27488416
http://dx.doi.org/10.1186/s12942-016-0056-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4971627/
https://www.ncbi.nlm.nih.gov/pubmed/27488416
http://dx.doi.org/10.1186/s12942-016-0056-6

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