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Displaying results 17 - 24 of 24
  • Identifying Clusters of Falls During the 2007-08 Winter Season in the BioSense System

    Content Type: Abstract

    The purposes of this study are to identify and characterize increases in emergency department (ED) visits for falls during the 2007-08 winter season.
    … We identified several large increases in ED visits due to falls associated with severe weather. The increases …
  • Performance of Sub-Syndrome Chief Complaint Classifiers for the GI Syndrome

    Content Type: Abstract

    The Centers for Disease Control and Prevention BioSense project has developed chief complaint (CC) and ICD9 sub-syndrome classifiers for the major syndromes for early event detection and situational awareness. This has the potential to… read more
    … weeks) episode that was possibly infectious in origin. We did not count the visit within a GI sub-syndrome if another …
  • A Pilot Study of Aberration Detection Algorithms with Simulated Data

    Content Type: Abstract

    To evaluate four algorithms with varying baseline periods and adjustment for day of week for anomaly detection in syndromic surveillance data.   read more
    … Introducing Outbreaks into Time Series Data, Adv Dis Surveillance 2007; 2:199. Advances in Disease …
  • Criteria for Prioritizing Statisitical Anomalies Identified in BioSense

    Content Type: Abstract

    Objective To describe a standard set of criteria for identifying potentially important anomalies and to compare the criteria with several recent public health events. read more
    … 1 data anomaly on 3/15/07 C: 1 day 5. GI syndrome cluster due to synthetic data for a drill at one hospital ED, 1 data …
  • BioSense Participation by Non-Federal Hospitals

    Content Type: Abstract

    BioSense is a national program designed to improve the nation’s capabilities for conducting disease detection, monitoring, and real-time situational awareness. Currently, BioSense receives near real-time data from non-federal hospitals, as well as… read more
    … 466 (82%) of the facilities sending data to BioSense de- livered their data via existing state and local public … send data regarding inpatient and outpatient visits. Of all emergency department visits during the study period, 95% … 14% a working diagnosis, and 37% a final diagnosis. Of all inpatient visits, 88% had a reason for admission, 40% a …
  • Performance Characteristics of Control Chart Detection Methods

    Content Type: Abstract

    To recognize outbreaks so that early interventions can be applied, BioSense uses a modification of the EARS C2 method, stratifying days used to calculate the expected value by weekend vs weekday, and including a rate-based method… read more
    … syndrome/days with the standard deviation (SD) ≥0.5 by all methods were included. For calculating expected values, … vs rate methods, the latter accounting for total visits (i.e., both visits assigned and not assigned to a syndrome); …
  • Evaluation of Spatial Estimation Methods for Cluster Detection

    Content Type: Abstract

    CDC’s BioSense system provides near-real time situational awareness for public health monitoring through analysis of electronic health data. Determination of anomalous spatial and temporal disease clusters is a crucial part of… read more
    … data, we then applied our program to determine 1-day (i.e., spatial) clusters significant at a p-value threshold …
  • The Use of BioSense Data for Surveillance of Gastrointestinal Illness

    Content Type: Abstract

    The BioSense system currently receives real-time data from more than 370 hospitals, as well as national daily batched data from over 1100 Department of Defense and Veterans Affairs medical facilities. BioSense maps chief… read more
    … 10%. For the 3 most common ED CC sub- syndromes (i.e,. abd pain, diarrhea, nausea), ED diagnoses often … [difficulty swallowing], and 787.91-diarrhea. For all three data sources, the abdominal pain sub-syndrome was …