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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 …
  • 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. …
  • Evaluation of Microbiology Orders from a Veterinary Diagnostic Laboratory as a Potential Data Source for Early Outbreak Detection

    Content Type: Abstract

    Animals continue to be recognized as a potential source of surveillance data for detecting emerging infectious diseases, bioterrorism preparedness, pandemic influenza preparedness, and detection of other zoonotic diseases. Detection of disease… read more
    … that are used to detect outbreaks of infectious disease (26). This potential gain establishes the value of data for … detection of outbreaks. MMWR Recomm Rep. 2004;53:1–11. 26. Wagner MM, Tsui FC, Espino JU, et al. The emerging science of very early …
  • 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 …
  • Evaluation of Veterinary Diagnostic Laboratories as a Possible Data Source for Prospective Outbreak Surveillance

    Content Type: Abstract

    Current veterinary surveillance systems may be ineffective for timely detection of outbreaks involving non-targeted disease. Earlier detection could enable quicker intervention that might prevent the spread of disease and limit lost revenue. Data… read more
    … E, Dennis D, Jenkins S, Emerging Zoonoses. Emerg Infect Dis. 1998;4(3):453-454 [5] Moodie M, Ban J, Manzi C, Powers …
  • Student Rotation in a Veterinary Teaching Hospital as a Potential Surveillance Confounder

    Content Type: Abstract

    Identifying potential biases and confounders that may affect data quality is an important consideration when evaluating surveillance systems. Having the benefit of predictable temporal trends is a key requirement to improve upon… read more
    … the beginning of a clinical rotation with weeks that did not mark the beginning of a clinical rotation by … clinic and order type. RESULTS The order efficiency for all cultures was 5 times more likely to be below average …
  • Data quality in federated disease surveillance: using variability as an indicator of quality

    Content Type: Abstract

    Most, if not all, disease surveillance systems are federated in the sense that hospitals, doctors’ offices, pharmacies are the source of most surveillance data. Although a health department may request or mandate that these… read more
    … Most, if not all, disease surveillance systems are federated in the sense … by public health provide data.’ Introduction Most, if not all, disease surveillance systems are federated in the sense … removal of those stores from a surveillance system did not improve the ability of a typical surveillance …
  • The Potential of Hospital Data Sources for Influenza Surveillance

    Content Type: Abstract

    Influenza is an important public health problem associated with considerable morbidity and mortality. A disease traditionally monitored via legally mandated reporting, researchers have identified alternative data sources for… read more
    … com- munity typically uses for Western Australia. We de- fined the day of alert relative to the outbreak start … were always more timely than any other data source at all false alarm rates considered. Figure 1 – Box plot of the …