A Framework to Simulate and Visualize Epidemics Metadata

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Title

  • Main Title A Framework to Simulate and Visualize Epidemics

Creator

  • Author: Mikler, Armin R.
    Creator Type: Personal
    Creator Info: University of North Texas
  • Author: O'Neill, Marty
    Creator Type: Personal
    Creator Info: University of North Texas
  • Author: Helsing, Joseph
    Creator Type: Personal
    Creator Info: University of North Texas
  • Author: Camp, Taylor
    Creator Type: Personal
    Creator Info: University of North Texas
  • Author: Indrakanti, Saratchandra
    Creator Type: Personal
    Creator Info: University of North Texas

Date

  • Creation: 2013-06-21

Language

  • English

Description

  • Content Description: This poster was featured at the 2013 Perot Museum of Nature and Science's 'Social Science' exhibit. The poster discusses a framework to simulate and visualize epidemics.
  • Physical Description: 1 p.

Subject

  • Keyword: epidemics
  • Keyword: diseases
  • Keyword: outbreaks

Source

  • Exhibition: Perot Museum of Nature and Science Social Science Exhibit, 2013, Dallas, Texas, United States

Collection

  • Name: UNT Scholarly Works
    Code: UNTSW

Institution

  • Name: UNT College of Engineering
    Code: UNTCOE

Rights

  • Rights Access: public

Resource Type

  • Poster

Format

  • Image

Identifier

  • Archival Resource Key: ark:/67531/metadc172337

Degree

  • Academic Department: Computer Science and Engineering
  • Academic Department: Center for Computational Epidemiology and Response Analysis

Note

  • Display Note: Abstract: Public health planners need an understanding of how disease outbreaks propagate in different populations to formulate effective control strategies. To this end, a framework to simulate and visualize infectious disease epidemics in a population was created. Contacts between individuals drive the spread of infectious disease outbreaks. Since actual behavior patterns of the population are unknown, the likelihood of a simulated contact between two individuals is determined by demographic similarities and geographic proximity. Geographic spread of the outbreak is visualized using a color coded map to represent proportions of populations affected. Geographic and demographic data from the U.S. Census Bureau are used in the simulation to facilitate exploration of outbreak propagation in real populations.