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Displaying results 1 - 8 of 16
  • Fast subset scan for multivariate spatial biosurveillance

    Content Type: Abstract

    The spatial scan statistic detects significant spatial clusters of disease by maximizing a likelihood ratio statistic over a large set of spatial regions. Several recent approaches have extended spatial scan to multiple data streams. Burkom… read more
    … scan statistic. Commun Statist: Theory and Methods 1997;26:1481–96. 2 Burkom HS. Biosurveillance applying scan … scan statistics for disease surveillance. Stat Med 2007;26:1824–33. 4 Neill DB. Fast and flexible outbreak detection by linear-time subset scanning. Adv Dis Surveill 2008;5:48. 5 Neill DB, McFowland E, Zheng H. …
  • 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
    … New York University E-mail: daniel.neill@nyu.edu Personal Website: http://www.cs.cmu.edu/~neill EPD Lab Website: http://epdlab.heinz.cmu.edu Syndromic surveillance …
  • Detecting Previously Unseen Outbreaks with Novel Symptom Patterns

    Content Type: Abstract

    Commonly used syndromic surveillance methods based on the spatial scan statistic first classify disease cases into broad, pre-existing symptom categories ("prodromes") such as respiratory or fever, then detect spatial clusters where the recent… read more
    … the outbreak based on the detected topic (e.g., top keywords for ICD-9 code 569.3 were ‘rectal’, ‘bleed’, … ‘green’, ‘nose’, ‘nasal’, etc.), while the static method did not, since the outbreak did not correspond to any of the … M. A spatial scan statistic. Commun Stat Theor Meth. 1997;26:1481�96. 2. Blei D, Ng A, Jordan M. Latent Dirichlet …
  • 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 …
  • Anomaly Pattern Detection for Biosurveillance

    Content Type: Abstract

    We propose a new method for detecting patterns of disease cases that correspond to emerging outbreaks. Our Anomaly Pattern Detector (APD) first uses a "local anomaly detector" to identify individually anomalous records and then searches over subsets… read more
    … records that are anomalous with respect to the historical dis- tribution of data. However, disease outbreaks typi- … County, PA. Figure 1 plots the detection preci- sion, i.e. the proportion of detected anomalies that were true … The Bayesian aerosol release detector. Stat. Med., 2007, 26: 5225-5252. Further Information: Daniel B. Neill, …
  • Fast and Flexible Outbreak Detection by Linear-Time Subset Scanning

    Content Type: Abstract

    The spatial scan statistic [1] detects significant spatial clusters of disease by maximizing a likelihood ratio statistic over a large set of spatial regions. Typical spatial scan approaches either constrain the search regions to… read more
    … of data. Analternative approach might be to search over all possible subsets of the data to find the  most relevant … of data. An alternative approach might be to search over all poss- ible subsets of the data to find the most relevant … Communications in Statis- tics: Theory and Methods, 1997, 26(6): 1481-1496. [2] Neill DB, Detection of Spatial and …
  • 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 …
  • Scalable Detection of Irregular Disease Clusters Using Soft Compactness Constraints

    Content Type: Abstract

    The spatial scan statistic [1] detects significant spatial clusters of disease by maximizing a likelihood ratio statistic F(S) over a large set of spatial regions, typically constrained by shape. The fast localized scan [2] enables scalable… read more
    … scanning (LTSS) property to efficiently search over all subsets of each location and its k - 1 nearest … to spatially compact clusters while still considering all subsets within a given neighborhood. Objective We … scanning (LTSS) property to efficiently search over all subsets of each location and its k�1 nearest neighbors. …