The Apollo Structured Vocabulary: an OWL2 ontology of phenomena in infectious disease epidemiology and population biology for use in epidemic simulation.

Journal: Journal of biomedical semantics
Published Date: Aug 18, 2016

Abstract

BACKGROUND: We developed the Apollo Structured Vocabulary (Apollo-SV)-an OWL2 ontology of phenomena in infectious disease epidemiology and population biology-as part of a project whose goal is to increase the use of epidemic simulators in public health practice. Apollo-SV defines a terminology for use in simulator configuration. Apollo-SV is the product of an ontological analysis of the domain of infectious disease epidemiology, with particular attention to the inputs and outputs of nine simulators.

Authors

  • William R Hogan
    Department of Health Outcomes and Biomedical Informatics.
  • Michael M Wagner
    Department of Biomedical Informatics, University of Pittsburgh School of Medicine, 5607 Baum Boulevard, Pittsburgh, PA, United States; Intelligent System Program, University of Pittsburgh Dietrich School of Arts and Sciences, 210 South Bouquet Street, Pittsburgh, PA, United States.
  • Mathias Brochhausen
    Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
  • John Levander
    University of Pittsburgh, 5607 Baum Boulevard, Room 434G, Pittsburgh, PA, 15206, USA.
  • Shawn T Brown
    Pittsburgh Supercomputing Center, 300 S. Craig St., Pittsburgh, PA, 15213, USA.
  • Nicholas Millett
    University of Pittsburgh, 5607 Baum Boulevard, Room 435 J, Pittsburgh, PA, 15206, USA.
  • Jay DePasse
    Pittsburgh Supercomputing Center, 300 S. Craig St., Pittsburgh, PA, 15213, USA.
  • Josh Hanna
    Biomedical Informatics Program, Department of Health Outcomes and Policy, University of Florida, Gainesville, FL USA.

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