Displaying results 1 - 5 of 5
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T-Cube as an Enabling Technology in Surveillance Applications
Content Type: Abstract
T-Cube is especially useful for rapidly retrieving responses to ad-hoc queries against large datasets of additive time series labeled using a set of categorical attributes. It can be used as a general tool to support any task… read more… The application called for a massive screening through all combinations of attribute-value pairs of size = 1 and 2, … including the time necessary to retrieve and aggregate all the involved time series, compute and store the test … voor kwaliteitsafdrukken op desktopprinters en proofers. De gemaakte PDF-documenten kunnen worden geopend met Acrobat … -
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 Robust Expectation-Based Spatial Scan Statistic
Content Type: Abstract
This paper describes a new expectation-based scan statistic that is robust to outliers (individual anomalies at the store level that are not indicative of outbreaks). We apply this method to prospective monitoring of over-the-counter (OTC) drug… read more… common source of false positives. These outliers are not due to disease outbreaks, but instead reflect a variety of … method for reduc- ing the number of false positives due to outliers, thus increasing our power to detect true … Communications in Sta- tistics: Theory and Methods, 1997, 26(6): 1481-1496. [4] Kulldorff M, Prospective time-periodic … -
Detection of multiple overlapping anomalous clusters in categorical data
Content Type: Abstract
Syndromic surveillance typically involves collecting time-stamped transactional data, such as patient triage or examination records or pharmacy sales. Such records usually span multiple categorical features, such as location, age… read more… of values along each categorical dimension. As evaluating all possible outbreak hypotheses can be computationally … of values along each categorical dimension. As evaluating all possible outbreak hypotheses can be computationally … Reports3. The data stores patient visits spanning 26 regions and 9 diseases reported over 2.5 years. We … -
Multivariate Time Series Analyses Using Primitive Univariate Algorithms
Content Type: Abstract
Time series analysis is very popular in syndromic surveillance. Mostly, public health officials track in the order of hundreds of disease models or univariate time series daily looking for signals of disease outbreaks. These time series can be… read more… syndromic systems only monitor state level aggregates for all syndromes or a few combinations of syndromes, gender and … symp- tom in male adults is indicative of a particular dis- ease). Based on the past experience public health … dromic systems only monitor state level aggregates for all syndromes or a few combinations of syn- dromes, gender …