Displaying results 1 - 3 of 3
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Monitoring Pharmacy Retail Data for Anomalous Space-Time Clusters
Content Type: Abstract
Bio-surveillance systems monitor multiple data streams (over-the-counter (OTC) sales, Emergency Department visits, etc.) to detect both natural disease outbreaks (e.g. influenza) and bio-terrorist attacks (e.g. anthrax re-lease). Many detection… read more… attachments, users can access alerts online on the SSS website, add and view com- ments on each alert, and select … User feedback has helped us identify false positives due to “single store” increases (bulk purchases or promo- tional sales) and due to underestimation of baselines, and we have added … -
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 wa- ter-borne illness can be predicted based on water dis- tribution information. To compute the data likeli- hood … will allow us to discriminate between clusters that are due to outbreaks and those due to other irrelevant causes. … Communications in Sta- tistics: Theory and Methods, 1997, 26(6): 1481-1496. [3] Neill DB, Detection of spatial and … -
A Bayesian Scan Statistic for Spatial Cluster Detection
Content Type: Abstract
This paper develops a new Bayesian method for cluster detection, the ìBayesian spatial scan statistic,î and compares this method to the standard (frequen-tist) scan statistic approach on the task of prospective disease surveillance.… computable as a function of the aggregate count (i.e. number of disease cases) and aggregate baseline (i.e. … points are mapped to a uni- form grid, and searching over all rectangular regions on the grid) for the Bayesian … Communications in Sta- tistics: Theory and Methods, 1997, 26(6): 1481-1496. [2] Neill DB, Moore AW, Rapid detection of …