Searching for space-time clusters: The CutL method compared to Kulldorff’s scan statistic
نویسندگان
چکیده
منابع مشابه
An Expectation-Based Scan Statistic for Detection of Space-Time Clusters
OBJECTIVE This paper describes a new class of space-time scan statistics designed for rapid detection of emerging disease clusters. We evaluate these methods on the task of prospective disease surveillance, and show that our methods consistently outperform the standard space-time scan statistic approach. BACKGROUND The space-time scan statistic [1] is a powerful statistical tool for prospective...
متن کاملGeographic prediction of tuberculosis clusters in Fukuoka, Japan, using the space-time scan statistic
BACKGROUND Tuberculosis (TB) has reemerged as a global public health epidemic in recent years. Although evaluating local disease clusters leads to effective prevention and control of TB, there are few, if any, spatiotemporal comparisons for epidemic diseases. METHODS TB cases among residents in Fukuoka Prefecture between 1999 and 2004 (n = 9,119) were geocoded at the census tract level (n = 1...
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BACKGROUND The 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...
متن کاملInaccuracy, Uncertainty and the Space-Time Permutation Scan Statistic
The space-time permutation scan statistic (STPSS) is designed to identify hot (and cool) spots of space-time interaction within patterns of spatio-temporal events. While the method has been adopted widely in practice, there has been little consideration of the effect inaccurate and/or incomplete input data may have on its results. Given the pervasiveness of inaccuracy, uncertainty and incomplet...
متن کاملStarScan: A Novel Scan Statistic for Irregularly-Shaped Spatial Clusters
Introduction Kulldorff’s spatial scan statistic1 detects significant spatial clusters of disease by maximizing a likelihood ratio statistic over circular spatial regions. The fast localized subset scan2 enables scalable detection of proximity-constrained subsets and increases power to detect irregularly-shaped clusters, However, unconstrained subset scanning within each circular neighborhood2, ...
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ژورنال
عنوان ژورنال: Geospatial Health
سال: 2019
ISSN: 1970-7096,1827-1987
DOI: 10.4081/gh.2019.791