<?xml version='1.0' encoding='utf-8'?>
<eprints xmlns='http://eprints.org/ep2/data/2.0'>
  <eprint id='https://datacompass.lshtm.ac.uk/id/eprint/950'>
    <eprintid>950</eprintid>
    <rev_number>24</rev_number>
    <documents>
      <document id='https://datacompass.lshtm.ac.uk/id/document/5977'>
        <docid>5977</docid>
        <rev_number>5</rev_number>
        <files>
          <file id='https://datacompass.lshtm.ac.uk/id/file/25105'>
            <fileid>25105</fileid>
            <datasetid>document</datasetid>
            <objectid>5977</objectid>
            <filename>South Africa KZN.PJNZ</filename>
            <mime_type>application/zip</mime_type>
            <hash>430514833dde722ead8653c0a2b8262ac31cd62a8632b5af13c416b7fee66ea9</hash>
            <hash_type>SHA256</hash_type>
            <filesize>4441180</filesize>
            <mtime>2018-11-26 17:18:36</mtime>
            <url>https://datacompass.lshtm.ac.uk/id/eprint/950/1/South%20Africa%20KZN.PJNZ</url>
          </file>
        </files>
        <eprintid>950</eprintid>
        <pos>1</pos>
        <placement>1</placement>
        <mime_type>application/zip</mime_type>
        <format>Dataset</format>
        <language>en</language>
        <security>public</security>
        <license>cc_by_nc</license>
        <main>South Africa KZN.PJNZ</main>
        <content>data</content>
        <retention_period>indefinite</retention_period>
        <formatdesc>Projection file for KwaZulu-Natal, South Africa</formatdesc>
      </document>
      <document id='https://datacompass.lshtm.ac.uk/id/document/5978'>
        <docid>5978</docid>
        <rev_number>4</rev_number>
        <files>
          <file id='https://datacompass.lshtm.ac.uk/id/file/25108'>
            <fileid>25108</fileid>
            <datasetid>document</datasetid>
            <objectid>5978</objectid>
            <filename>South Africa LP.PJNZ</filename>
            <mime_type>application/zip</mime_type>
            <hash>c17f57ef93ada2be1a1faf082df037499d7b1497e1c493828ead00bc328fca09</hash>
            <hash_type>SHA256</hash_type>
            <filesize>4408349</filesize>
            <mtime>2018-11-26 17:21:19</mtime>
            <url>https://datacompass.lshtm.ac.uk/id/eprint/950/2/South%20Africa%20LP.PJNZ</url>
          </file>
        </files>
        <eprintid>950</eprintid>
        <pos>2</pos>
        <placement>2</placement>
        <mime_type>application/zip</mime_type>
        <format>Dataset</format>
        <language>en</language>
        <security>public</security>
        <license>cc_by_nc</license>
        <main>South Africa LP.PJNZ</main>
        <content>data</content>
        <retention_period>indefinite</retention_period>
        <formatdesc>Projection file for Limpopo, South Africa</formatdesc>
      </document>
      <document id='https://datacompass.lshtm.ac.uk/id/document/5979'>
        <docid>5979</docid>
        <rev_number>4</rev_number>
        <files>
          <file id='https://datacompass.lshtm.ac.uk/id/file/25111'>
            <fileid>25111</fileid>
            <datasetid>document</datasetid>
            <objectid>5979</objectid>
            <filename>South Africa WC.PJNZ</filename>
            <mime_type>application/zip</mime_type>
            <hash>d79bde28ebe5edf1e61dc697b3d1e8b03d16c45530fe364a9328c74f3ca959c1</hash>
            <hash_type>SHA256</hash_type>
            <filesize>4349969</filesize>
            <mtime>2018-11-26 17:21:48</mtime>
            <url>https://datacompass.lshtm.ac.uk/id/eprint/950/3/South%20Africa%20WC.PJNZ</url>
          </file>
        </files>
        <eprintid>950</eprintid>
        <pos>3</pos>
        <placement>3</placement>
        <mime_type>application/zip</mime_type>
        <format>Dataset</format>
        <language>en</language>
        <security>public</security>
        <license>cc_by_nc</license>
        <main>South Africa WC.PJNZ</main>
        <content>data</content>
        <retention_period>indefinite</retention_period>
        <formatdesc>Projection for Western Cape, South Africa</formatdesc>
      </document>
    </documents>
    <eprint_status>archive</eprint_status>
    <userid>137</userid>
    <dir>disk0/00/00/09/50</dir>
    <datestamp>2018-11-27 17:02:48</datestamp>
    <lastmod>2026-03-26 11:30:45</lastmod>
    <status_changed>2018-11-27 17:02:48</status_changed>
    <type>data_collection</type>
    <metadata_visibility>show</metadata_visibility>
    <creators>
      <item>
        <name>
          <family>Sumner</family>
          <given>Tom</given>
        </name>
        <orcid>0000-0001-9305-534X</orcid>
        <lshtm_flag>TRUE</lshtm_flag>
        <staffid>4bac22709809a4bf000783632be051c1</staffid>
      </item>
    </creators>
    <corp_creators>
      <item>London School of Hygiene &amp; Tropical Medicine, London, United Kingdom</item>
      <item>Aurum Institute, Johannesburg</item>
    </corp_creators>
    <title>Mathematical model projections for: &quot;Application of provincial data in mathematical modelling to inform sub-national tuberculosis program decision-making in South Africa&quot;</title>
    <divisions>
      <item>EPID</item>
    </divisions>
    <keywords>
      <item>Tuberculosis</item>
      <item>Modelling studies</item>
      <item>South Africa</item>
    </keywords>
    <abstract>This data collection contains mathematical model projections used to simulate the TB epidemic in 3 provinces of South Africa - KwaZulu-Natal, Limpopo, and Western Cape - and estimate the impact of achieving the 90-(90)-90 targets of the Stop TB Partnership’s ‘Global Plan to End TB’. The model projection files (.pjnz) were created and can be accessed using “TIME Impact”, a user-friendly TB modelling tool. TIME Impact is part of Avenir Health’s Spectrum tool and can be downloaded from  https://www.avenirhealth.org/.</abstract>
    <date>2018-11-27</date>
    <date_type>completed</date_type>
    <publisher>London School of Hygiene &amp; Tropical Medicine</publisher>
    <id_number>10.17037/DATA.00000950</id_number>
    <data_type>Dataset</data_type>
    <copyright_holders>
      <item>London School of Hygiene &amp; Tropical Medicine, London, United Kingdom</item>
    </copyright_holders>
    <research_centre>
      <item>XCMM</item>
      <item>XTBC</item>
    </research_centre>
    <collection_mode>
      <item>Simulation</item>
    </collection_mode>
    <barnard_cr>
      <item>162</item>
    </barnard_cr>
    <barnard_dc>
      <item>JC-JCK</item>
    </barnard_dc>
    <barnard_rd>
      <item>modelling</item>
    </barnard_rd>
    <full_text_status>public</full_text_status>
    <place_of_pub>London, United Kingdom</place_of_pub>
    <resourcetype>
      <resourcetypegeneral>Dataset</resourcetypegeneral>
      <resourcetype>Mathematical model projections</resourcetype>
    </resourcetype>
    <bounding_box>
      <item>
        <north_edge>-22.469</north_edge>
        <east_edge>35.1104</east_edge>
        <south_edge>-35.0633</south_edge>
        <west_edge>15.4229</west_edge>
      </item>
    </bounding_box>
    <language>
      <item>en</item>
    </language>
    <collection_date>
      <date_from>2017-01-01</date_from>
      <date_to>2017-12-31</date_to>
    </collection_date>
    <ukri_date_sub>2018-11-27</ukri_date_sub>
  </eprint>
</eprints>
