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Agent-based pathogen kinetics model

Alexander Gutfraind; Basmattee Boodram; Harel Dahari; Marian Major


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.21714", 
  "author": [
    {
      "given": "", 
      "family": "Alexander Gutfraind"
    }, 
    {
      "given": "", 
      "family": "Basmattee Boodram"
    }, 
    {
      "given": "", 
      "family": "Harel Dahari"
    }, 
    {
      "given": "", 
      "family": "Marian Major"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2015, 
        7, 
        29
      ]
    ]
  }, 
  "abstract": "<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>", 
  "title": "Agent-based pathogen kinetics model", 
  "type": "article", 
  "id": "21714"
}
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