• DocumentCode
    1908788
  • Title

    Modelling the response of a public health department to infectious disease

  • Author

    Worth, Travis ; Uzsoy, Reha ; Samoff, Erika ; Meyer, Anne-Marie ; Maillard, Jean-Marie ; Wendelboe, Aaron M.

  • Author_Institution
    North Carolina State Univ., Raleigh, NC, USA
  • fYear
    2010
  • fDate
    5-8 Dec. 2010
  • Firstpage
    2185
  • Lastpage
    2198
  • Abstract
    We present a discrete-event simulation model of the response of a local public health department (LHD) to pertussis cases. We take a comprehensive view of public health actions, beginning with detection of an individual patient, confirmation of the case by physician and lab tests, and contact tracing and isolation of contacts by LHD personnel. We explicitly model the information transfer between providers, laboratories and LHDs, and examine the effect of different alerting strategies on the number of confirmed cases encountered. The effect of limited resource availability for contact tracing is also examined. Given our results, we suggest that resource availability has significant impact on the progression of a disease outbreak, as do information delays at various stages of the process.
  • Keywords
    discrete event simulation; diseases; health care; medical information systems; patient diagnosis; public administration; LHD personnel; discrete-event simulation model; individual patient; infectious disease; information delays; information transfer; lab tests; local public health department; pertussis cases; public health actions; Computational modeling; Delay; Diseases; Indexes; Mathematical model; Public healthcare;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2010 Winter
  • Conference_Location
    Baltimore, MD
  • ISSN
    0891-7736
  • Print_ISBN
    978-1-4244-9866-6
  • Type

    conf

  • DOI
    10.1109/WSC.2010.5678917
  • Filename
    5678917