A Framework to Simulate and Visualize Epidemics Metadata
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- Main Title A Framework to Simulate and Visualize Epidemics
Author: Mikler, Armin R.Creator Type: PersonalCreator Info: University of North Texas
Author: O'Neill, MartyCreator Type: PersonalCreator Info: University of North Texas
Author: Helsing, JosephCreator Type: PersonalCreator Info: University of North Texas
Author: Camp, TaylorCreator Type: PersonalCreator Info: University of North Texas
Author: Indrakanti, SaratchandraCreator Type: PersonalCreator Info: University of North Texas
- Creation: 2013-06-21
- 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.
- Keyword: epidemics
- Keyword: diseases
- Keyword: outbreaks
- Exhibition: Perot Museum of Nature and Science Social Science Exhibit, 2013, Dallas, Texas, United States
Name: UNT Scholarly WorksCode: UNTSW
Name: UNT College of EngineeringCode: UNTCOE
- Rights Access: public
- Archival Resource Key: ark:/67531/metadc172337
- Academic Department: Computer Science and Engineering
- Academic Department: Center for Computational Epidemiology and Response Analysis
- 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.