Displaying results 1 - 8 of 30
-
Support Vector Subset Scan for Spatial Outbreak Detection
Content Type: Abstract
Neill’s fast subset scan2 detects significant spatial patterns of disease by efficiently maximizing a log-likelihood ratio statistic over subsets of locations, but may result in patterns that are not spatially compact. The penalized fast subset scan… read more -
Multidimensional Tensor Scan for Drug Overdose Surveillance
Content Type: Abstract
Drug overdoses are an increasingly serious problem in the United States and worldwide. The CDC estimates that 47,055 drug overdose deaths occurred in the United States in 2014, 61% of which involved opioids (including heroin, pain relievers such as… read more -
Spatial Scanning Tips and Tricks for Practical Outbreak Detection
Content Type: Webinar
For its January 2011 Literature Review, the ISDS Research Committee invited Daniel B. Neill, PhD, Assistant Professor of Information Systems at Carnegie Mellon University, to present his paper, "An Empirical Comparison of Spatial Scan Statistics for… read more -
Identifying Emerging Novel Outbreaks In Textual Emergency Department Data
Content Type: Abstract
Typical approaches to monitoring ED data classify cases into pre-defined syndromes and then monitor syndrome counts for anomalies. However, syndromes cannot be created to identify every possible cluster of cases of relevance to public health. To… read more -
StarScan: A Novel Scan Statistic for Irregularly-Shaped Spatial Clusters
Content Type: Abstract
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… read more -
Fast Multidimensional Subset Scan for Outbreak Detection and Characterization
Content Type: Abstract
The multivariate linear-time subset scan (MLTSS) extends previous spatial and subset scanning methods to achieve timely and accurate event detection in massive multivariate datasets, efficiently optimizing a likelihood ratio statistic over… read more -
A Multivariate Bayesian Scan Statistic
Content Type: Abstract
This paper develops a new method for multivariate spatial cluster detection, the ìmultivariate Bayesian scan statisticî (MBSS). MBSS combines information from multiple data streams in a Bayesian framework, enabling faster and more accurate… read more -
A Nonparametric Scan Statistic for Multivariate Disease Surveillance
Content Type: Abstract
We present a new method for multivariate outbreak detection, the ìnonparametric scan statisticî (NPSS). NPSS enables fast and accurate detection of emerging space-time clusters using multiple disparate data streams, including nontraditional data… read more