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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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| 出版年: | Int J Health Geogr |
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| 主要な著者: | , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2016
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4971627/ https://ncbi.nlm.nih.gov/pubmed/27488416 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12942-016-0056-6 |
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