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Agent-based pathogen kinetics model

Alexander Gutfraind; Basmattee Boodram; Harel Dahari; Marian Major


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    "description": "<p>People who inject drugs (PWID) are at high risk for blood-borne pathogens transmitted during the sharing of contaminated injection equipment, particularly hepatitis C virus (HCV). To adequately address this complexity in HCV epidemic forecasting, we have developed a computational model, the Agent-based Pathogen Kinetics model (APK). APK simulates the PWID population in metropolitan Chicago, including the social interactions that result in HCV infection. See accompanying publication for details.</p>\n\n<p><br />\nThis file provides an installer for APK software and requires Java 7 environment. It could be run from the command line using &quot;java -jar&nbsp;apk_setup_2015-01-09.jar&quot;. Source code, demo population files and documentation is available after the installation in the installation directory.&nbsp;</p>", 
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    "title": "Agent-based pathogen kinetics model", 
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    "keywords": [
      "Agent-based model", 
      "Hepatitis", 
      "Simulation", 
      "Network", 
      "Chicago", 
      "People who inject drugs", 
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    "publication_date": "2015-07-29", 
    "creators": [
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        "affiliation": "University of Illinois at Chicago", 
        "name": "Alexander Gutfraind"
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        "affiliation": "University of Illinois at Chicago", 
        "name": "Basmattee Boodram"
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      {
        "affiliation": "Loyola University Medical Center", 
        "name": "Harel Dahari"
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      {
        "affiliation": "Food and Drug Administration", 
        "name": "Marian Major"
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