Use of multiple data streams to conduct Bayesian biologic surveillance.

  • Wong W
  • Cooper G
  • Dash D
 et al. 
  • 26

    Readers

    Mendeley users who have this article in their library.
  • 13

    Citations

    Citations of this article.

Abstract

INTRODUCTION: Emergency department (ED) records and over-the-counter (OTC) sales data are two of the most commonly used sources of data for syndromic surveillance. The majority of detection algorithms monitor these data sources separately and either do not combine them or combine them in an ad hoc fashion. This report outlines a new causal model that combines the two data sources coherently to perform outbreak detection. OBJECTIVES: This report describes the extension of the Population-wide Anomaly Detection and Assessment (PANDA) Bayesian biologic surveillance algorithm to combine information from multiple data streams. It also outlines the assumptions and techniques used to make this approach scalable for real-time surveillance of a large population. METHODS: A causal Bayesian network model used previously was extended to incorporate evidence from daily OTC sales data. At the level of individual persons, the actions that result in the purchase of OTC products and in admission to an ED were modeled. RESULTS: Preliminary results indicate that this model has a tractable running time consisting of 209 seconds for initialization and approximately 4 seconds for every hour's worth of ED data, as measured on a Pentium-4 three-Gigahertz machine with two Gigabytes of RAM. Conclusion: Preliminary results for surveillance using a new Bayesian algorithm that models the interaction between ED and OTC data are positive regarding the run time of the algorithm.

Author-supplied keywords

  • Algorithms
  • Bayes Theorem
  • Disease Outbreaks
  • Disease Outbreaks: prevention & control
  • Drug Utilization
  • Emergency Service
  • Epidemiologic Measurements
  • Hospital
  • Hospital: statistics & numerical data
  • Humans
  • Models
  • Nonprescription Drugs
  • Population Surveillance
  • Population Surveillance: methods
  • Public Health Informatics
  • Public Health Informatics: instrumentation
  • Theoretical

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Authors

  • Weng-Keen Wong

  • G Cooper

  • D Dash

  • J Levander

  • J Dowling

  • W Hogan

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free