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Agent-based pathogen kinetics model

Alexander Gutfraind; Basmattee Boodram; Harel Dahari; Marian Major


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<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.21714</identifier>
  <creators>
    <creator>
      <creatorName>Alexander Gutfraind</creatorName>
      <affiliation>University of Illinois at Chicago</affiliation>
    </creator>
    <creator>
      <creatorName>Basmattee Boodram</creatorName>
      <affiliation>University of Illinois at Chicago</affiliation>
    </creator>
    <creator>
      <creatorName>Harel Dahari</creatorName>
      <affiliation>Loyola University Medical Center</affiliation>
    </creator>
    <creator>
      <creatorName>Marian Major</creatorName>
      <affiliation>Food and Drug Administration</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Agent-based pathogen kinetics model</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2015</publicationYear>
  <subjects>
    <subject>Agent-based model</subject>
    <subject>Hepatitis</subject>
    <subject>Simulation</subject>
    <subject>Network</subject>
    <subject>Chicago</subject>
    <subject>People who inject drugs</subject>
    <subject>Infectious diseases</subject>
    <subject>GIS</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2015-07-29</date>
  </dates>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/21714</alternateIdentifier>
  </alternateIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode">Creative Commons Attribution Non Commercial Share Alike 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;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.&lt;/p&gt;

&lt;p&gt;&lt;br /&gt;
This file provides an installer for APK software and requires Java 7 environment. It could be run from the command line using &amp;quot;java -jar&amp;nbsp;apk_setup_2015-01-09.jar&amp;quot;. Source code, demo population files and documentation is available after the installation in the installation directory.&amp;nbsp;&lt;/p&gt;</description>
  </descriptions>
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