Displaying results 9 - 15 of 15
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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… ratio statistic over subsets of locations, but may result in patterns that are not spatially compact. The … ratio statistic over subsets of locations, but may result in patterns that are not spatially compact. The … -
Virtual Speed Networking with the Analytic Solutions Committee (ASC)
Content Type: Webinar
Presented January 11, 2018. The purpose of the event was to stimulate and facilitate constructive communication and collaboration among analytic method developers and practitioners charged with routine public health surveillance, ranging from… read more… surveillance), as well as novel approaches my lab has developed to address each problem. First, … and are seeking out insights from others who may have experience with this kind of a project. Presenter … and current partners to view. https://sites.google.com/state.co.us/refugeecoe/ PROGRAMMATIC Carol Tumaylle, MPH … -
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… subset scanning within each circular neighborhood2, may not necessarily capture the pattern of interest, and is … subset scanning within each circular neighborhood2, may not necessarily capture the pattern of interest, and is … -
Identifying High-Risk Areas for Dengue Infection Using Mobility Patterns on Twitter
Content Type: Abstract
Traditionally, surveillance systems for dengue and other infectious diseases locate each individual case by home address, aggregate these locations to small areas, and monitor the number of cases in each area over time. However, human mobility plays… read more… to during their daily routines. Residence locations may be a poor indicator of the actual regions where humans … to during their daily routines. Residence locations may be a poor indicator of the actual regions where humans … -
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… and a set of data streams D = {Dm}. The outbreak types may be either specific ill- nesses (influenza, anthrax, … may include sources such as emergency department (ED) visits, with each stream representing a different chief … Communications in Sta- tistics: Theory and Methods, 1997, 26(6): 1481-1496. [3] Neill DB, Detection of spatial and … -
Learning Outbreak Regions for Bayesian Spatial Biosurveillance
Content Type: Abstract
This work incorporates model learning into a Bayesian framework for outbreak detection. Our method learns the spatial characteristics of each outbreak type from a small number of labeled training examples, assuming a generative outbreak model with… read more… of emerging events by combining evidence from mul- tiple data streams. Given a set of space-time regions … outbreaks injected into real-world Emergency Department visit data from Allegheny County, PA. In the simulations … -
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… into five Allegheny County datasets: respiratory ED visits, three streams of OTC data (cough/cold, antifever, … Communications in Sta- tistics: Theory and Methods, 1997, 26(6): 1481-1496. [3] Kulldorff M, Prospective time-periodic …