A space-time permutation scan statistic for disease outbreak detection |
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Authors: | Kulldorff Martin Heffernan Richard Hartman Jessica Assunção Renato Mostashari Farzad |
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Institution: | Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, Boston, Massachusetts, USA. martin_kulldorff@hms.harvard.edu |
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Abstract: | BackgroundThe ability to detect disease outbreaks early is important in order to minimize morbidity and mortality through timely implementation of disease prevention and control measures. Many national, state, and local health departments are launching disease surveillance systems with daily analyses of hospital emergency department visits, ambulance dispatch calls, or pharmacy sales for which population-at-risk information is unavailable or irrelevant.ConclusionIf such results hold up over longer study times and in other locations, the space–time permutation scan statistic will be an important tool for local and national health departments that are setting up early disease detection surveillance systems. |
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