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Measuring Social Contacts in the Emergency Department

Author

Listed:
  • Douglas W Lowery-North
  • Vicki Stover Hertzberg
  • Lisa Elon
  • George Cotsonis
  • Sarah A Hilton
  • Christopher F Vaughns II
  • Eric Hill
  • Alok Shrestha
  • Alexandria Jo
  • Nathan Adams

Abstract

Background: Infectious individuals in an emergency department (ED) bring substantial risks of cross infection. Data about the complex social and spatial structure of interpersonal contacts in the ED will aid construction of biologically plausible transmission risk models that can guide cross infection control. Methods and Findings: We sought to determine the number and duration of contacts among patients and staff in a large, busy ED. This prospective study was conducted between 1 July 2009 and 30 June 2010. Two 12-hour shifts per week were randomly selected for study. The study was conducted in the ED of an urban hospital. There were 81 shifts in the planned random sample of 104 (78%) with usable contact data, during which there were 9183 patient encounters. Of these, 6062 (66%) were approached to participate, of which 4732 (78%) agreed. Over the course of the year, 88 staff members participated (84%). A radiofrequency identification (RFID) system was installed and the ED divided into 89 distinct zones structured so copresence of two individuals in any zone implied a very high probability of contact

Suggested Citation

  • Douglas W Lowery-North & Vicki Stover Hertzberg & Lisa Elon & George Cotsonis & Sarah A Hilton & Christopher F Vaughns II & Eric Hill & Alok Shrestha & Alexandria Jo & Nathan Adams, 2013. "Measuring Social Contacts in the Emergency Department," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-9, August.
  • Handle: RePEc:plo:pone00:0070854
    DOI: 10.1371/journal.pone.0070854
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    References listed on IDEAS

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    1. Rachael M. Jones, 2011. "Critical Review and Uncertainty Analysis of Factors Influencing Influenza Transmission," Risk Analysis, John Wiley & Sons, vol. 31(8), pages 1226-1242, August.
    2. Ciro Cattuto & Wouter Van den Broeck & Alain Barrat & Vittoria Colizza & Jean-François Pinton & Alessandro Vespignani, 2010. "Dynamics of Person-to-Person Interactions from Distributed RFID Sensor Networks," PLOS ONE, Public Library of Science, vol. 5(7), pages 1-9, July.
    3. D. Brockmann & L. Hufnagel & T. Geisel, 2006. "The scaling laws of human travel," Nature, Nature, vol. 439(7075), pages 462-465, January.
    4. Albert-László Barabási, 2005. "The origin of bursts and heavy tails in human dynamics," Nature, Nature, vol. 435(7039), pages 207-211, May.
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