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How to Make Epidemiological Training Infectious

Author

Listed:
  • Steve E Bellan
  • Juliet R C Pulliam
  • James C Scott
  • Jonathan Dushoff
  • the MMED Organizing Committee

Abstract

In this fun, interactive exercise, students simulate an infectious disease outbreak among themselves that conceptually integrates two historically distinct fields in epidemiology.

Suggested Citation

  • Steve E Bellan & Juliet R C Pulliam & James C Scott & Jonathan Dushoff & the MMED Organizing Committee, 2012. "How to Make Epidemiological Training Infectious," PLOS Biology, Public Library of Science, vol. 10(4), pages 1-8, April.
    • Handle: RePEc:plo:pbio00:1001295
    DOI: 10.1371/journal.pbio.1001295
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    References listed on IDEAS

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    1. Koopman, J.S. & Lynch, J.W., 1999. "Individual causal models and population system models in epidemiology," American Journal of Public Health, American Public Health Association, vol. 89(8), pages 1170-1174.
    2. Koopman, J.S., 1996. "Emerging objectives and methods in epidemiology," American Journal of Public Health, American Public Health Association, vol. 86(5), pages 630-632.
    3. Lewi Stone & Ronen Olinky & Amit Huppert, 2007. "Seasonal dynamics of recurrent epidemics," Nature, Nature, vol. 446(7135), pages 533-536, March.
    4. Aaron A. King & Edward L. Ionides & Mercedes Pascual & Menno J. Bouma, 2008. "Inapparent infections and cholera dynamics," Nature, Nature, vol. 454(7206), pages 877-880, August.
    5. Rothman, K.J. & Greenland, S., 2005. "Causation and causal inference in epidemiology," American Journal of Public Health, American Public Health Association, vol. 95(S1), pages 144-150.
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    1. Elisa Fesce & Claudia Romeo & Eleonora Chinchio & Nicola Ferrari, 2020. "How to choose the best control strategy? Mathematical models as a tool for pre-intervention evaluation on a macroparasitic disease," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 14(10), pages 1-17, October.

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