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Network position and health care worker infections

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Listed:
  • Troy Tassier

    (Fordham University)

  • Philip Polgreen

    (University of Iowa)

  • Alberto Segre

    (University of Iowa)

Abstract

We use a newly collected data set coupled with an agent-based model to study the spread of infectious disease in hospitals. We estimate the average and marginal infections created by various worker groups in a hospital as a function of their network position in order to identify groups most crucial in a hospital-based epidemic. Surprisingly, we find that many groups with primary patient care responsibilities play a small role in spreading an infectious disease within our hospital data set. We also demonstrate that the effect of different network positions can be as important as the effect of different transmission rates for some categories of workers.

Suggested Citation

  • Troy Tassier & Philip Polgreen & Alberto Segre, 2017. "Network position and health care worker infections," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 277-307, July.
    • Handle: RePEc:spr:jeicoo:v:12:y:2017:i:2:d:10.1007_s11403-015-0166-4
    DOI: 10.1007/s11403-015-0166-4
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    References listed on IDEAS

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    1. Philipson, Tomas, 2000. "Economic epidemiology and infectious diseases," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 33, pages 1761-1799, Elsevier.
    2. Geoffard, Pierre-Yves & Philipson, Tomas, 1997. "Disease Eradication: Private versus Public Vaccination," American Economic Review, American Economic Association, vol. 87(1), pages 222-230, March.
    3. Boulier Bryan L. & Datta Tejwant S. & Goldfarb Robert S, 2007. "Vaccination Externalities," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(1), pages 1-27, May.
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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Escape from New York?: Density and the Coronavirus Trajectory
      by Jason Barr in Skynomics Blog on 2020-04-20 11:55:21

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    Cited by:

    1. Myong-Hun Chang & Troy Tassier, 2021. "Spatially Heterogeneous Vaccine Coverage and Externalities in a Computational Model of Epidemics," Computational Economics, Springer;Society for Computational Economics, vol. 58(1), pages 27-55, June.

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