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Displaying results 1 - 8 of 8
  • Ellipse-Based Clustering Analysis Using a Time Series Algorithm

    Content Type: Abstract

    Many cities in the US and the Center for Disease Control and Prevention have deployed biosurveillance systems to monitor regional health status. Biosurveillance systems rely on algorithms that analyze data in temporal domain… read more
    … criteria of connected hot zip codes and then determines top 5 clusters using maximum log likelihood ratio (MLLR). We … starting from one-year baseline query to the search of top 5 clusters. RESULTS WAV analyzed total 494 zip codes … web service model. Proc AMIA Symp 2005. 3. Zhang J, Tsui FC, Wagner MM, Hogan WR. Detection of out- breaks from time …
  • A data simulation model using NRDM pharmaceutical sales counts

    Content Type: Abstract

    In disease surveillance, an outbreak is often present in more than one data type. If each data type is analyzed separately rather than combined, the statistical power to detect an outbreak may suffer because no single data source… read more
    … may suffer because no single data source captures all the individuals in the outbreak. Researchers, thus, … medication sales, such as thermometer sales from all ZIP code areas in a study region that include the areas … medication sales, such as thermo- meter sales from all ZIP code areas in a study region that include the areas …
  • An automated influenza-like-illness reporting system using freetext emergency department reports

    Content Type: Abstract

    Current methods for influenza surveillance include laboratory confirmed case reporting, sentinel physician reporting of Influenza-Like-Illness (ILI) and chief-complaint monitoring from emergency departments (EDs). The current… read more
    … in that a patient’s chief complaint will not contain all signs and symptoms of a patient. A possible solution to … in that a patient’s chief complaint will not contain all signs and symptoms of a patient. A possible solution to … and Prevention, Atlanta, GA, 1999. 3 Two more people die from H1N1 in Pittsburgh area [online] 2009 cited. …
  • Building an automated Bayesian case detection system

    Content Type: Abstract

    Current practices of automated case detection fall into the extremes of diagnostic accuracy and timeliness. In regards to diagnostic accuracy, electronic laboratory reporting (ELR) is at one extreme and syndromic surveillance is at… read more
    … is an automated Bayesian diagnostic system that uses all available data types, for example, freetext ED … is an automated Bayesian diagnostic system that uses all available data types, for example, freetext ED reports, … UT, USA, on 1–2 December 2010. References 1 Que J, Tsui FC, Wagner MM. Timeliness study of radiology and …
  • 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 …
  • Modeling Baseline Shifts in Multivariate Disease Outbreak Detection

    Content Type: Abstract

    Population surges or large events may cause shift of data collected by biosurveillance systems [1]. For example, the Cherry Blossom Festival brings hundreds of thousands of people to DC every year, which results in simultaneous elevations in… read more
    … data streams may be prone to false alarms due to baseline shifts. In this paper, we propose a … data streams may be prone to false alarms due to baseline shifts. In this paper, we propose a …
  • Challenges in adapting an natural language processing system for real-time surveillance

    Content Type: Abstract

    We are developing a Bayesian surveillance system for realtime surveillance and characterization of outbreaks that incorporates a variety of data elements, including free-text clinical reports. An existing natural language processing (… read more
    … made changes to the NLP system using a development set of 26 laboratory- verified Shigellosis cases and 20 …
  • Estimating the incidence of influenza cases that present to emergency departments

    Content Type: Abstract

    Our laboratory previously established the value of over-the-counter (OTC) sales data for the early detection of disease outbreaks. We found that thermometer sales (TS) increased significantly and early during influenza (flu) season.… read more
    … the BCD only collects information from a fraction of all EDs in AC (A!0.44), and TS data only cover a fraction of all sales from OTC retail stores in AC (B!0.91). To apply … of Biosurveillance, 1st edn. 2006, p 321. 2 Presanis AM, De Angelis D, Hagy A, Reed C, Riley S, Cooper BS, et al. The …