<?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/4932'>
    <eprintid>4932</eprintid>
    <rev_number>44</rev_number>
    <documents>
      <document id='https://datacompass.lshtm.ac.uk/id/document/18676'>
        <docid>18676</docid>
        <rev_number>2</rev_number>
        <files>
          <file id='https://datacompass.lshtm.ac.uk/id/file/108576'>
            <fileid>108576</fileid>
            <datasetid>document</datasetid>
            <objectid>18676</objectid>
            <filename>AHCoS_prediction_model_data_codebook.html</filename>
            <mime_type>text/html</mime_type>
            <hash>a57b04532595c989c75b69a3eb921239c6f0341cc6aee382b947df735b7ea8da</hash>
            <hash_type>SHA256</hash_type>
            <filesize>5912</filesize>
            <mtime>2026-02-18 15:18:22</mtime>
            <url>https://datacompass.lshtm.ac.uk/id/eprint/4932/2/AHCoS_prediction_model_data_codebook.html</url>
          </file>
        </files>
        <eprintid>4932</eprintid>
        <pos>2</pos>
        <placement>2</placement>
        <mime_type>text/html</mime_type>
        <format>Text</format>
        <language>en</language>
        <security>public</security>
        <license>cc_by_4</license>
        <main>AHCoS_prediction_model_data_codebook.html</main>
        <content>documentation</content>
        <retention_period>indefinite</retention_period>
        <formatdesc>Codebook for AHCoS Prediction Model data</formatdesc>
      </document>
      <document id='https://datacompass.lshtm.ac.uk/id/document/18677'>
        <docid>18677</docid>
        <rev_number>4</rev_number>
        <files>
          <file id='https://datacompass.lshtm.ac.uk/id/file/108585'>
            <fileid>108585</fileid>
            <datasetid>document</datasetid>
            <objectid>18677</objectid>
            <filename>AHCoS_prediction_model_data.csv</filename>
            <mime_type>text/plain</mime_type>
            <hash>33540c84ff1dc3ecd56754738972b8c51283154f27b6d2efcefb5ce3a6c3df2c</hash>
            <hash_type>SHA256</hash_type>
            <filesize>141</filesize>
            <mtime>2026-02-18 18:13:51</mtime>
            <url>https://datacompass.lshtm.ac.uk/id/eprint/4932/3/AHCoS_prediction_model_data.csv</url>
          </file>
        </files>
        <eprintid>4932</eprintid>
        <pos>3</pos>
        <placement>1</placement>
        <mime_type>text/plain</mime_type>
        <format>Dataset</format>
        <language>en</language>
        <security>staffonly</security>
        <license>datasharingagreement</license>
        <main>AHCoS_prediction_model_data.csv</main>
        <content>data</content>
        <retention_period>indefinite</retention_period>
        <formatdesc>AHCoS Prediction Model data</formatdesc>
      </document>
    </documents>
    <eprint_status>archive</eprint_status>
    <userid>409</userid>
    <dir>disk0/00/00/49/32</dir>
    <datestamp>2026-02-18 15:18:50</datestamp>
    <lastmod>2026-02-18 18:14:07</lastmod>
    <status_changed>2026-02-18 15:18:50</status_changed>
    <type>data_collection</type>
    <metadata_visibility>show</metadata_visibility>
    <creators>
      <item>
        <name>
          <family>Khan</family>
          <given>Palwasha</given>
        </name>
        <orcid>0000-0002-0873-8355</orcid>
        <lshtm_flag>TRUE</lshtm_flag>
        <staffid>0ce9988de30d8bbe8bea4fc9e27024d2</staffid>
      </item>
      <item>
        <name>
          <family>Govender</family>
          <given>Indira</given>
        </name>
        <orcid>0000-0003-0598-7388</orcid>
        <lshtm_flag>TRUE</lshtm_flag>
        <staffid>c360cd1bd8393f8d17ac4aa2c6a522bd</staffid>
      </item>
    </creators>
    <corp_creators>
      <item>London School of Hygiene &amp; Tropical Medicine, London, United Kingdom</item>
      <item>Africa Health Research Institute (AHRI)</item>
    </corp_creators>
    <title>Dataset for &quot;A predictive score to identify high transmission-risk households of individuals newly diagnosed with pulmonary tuberculosis in rural South Africa&quot;</title>
    <divisions>
      <item>EPIH</item>
      <item>ITCR</item>
      <item>PHGH</item>
    </divisions>
    <keywords>
      <item>Pulmonary tuberculosis</item>
      <item>Within-household transmission risk</item>
      <item>Predictive model</item>
      <item>Contact-tracing</item>
      <item>Resource-constrained setting</item>
    </keywords>
    <note>Data will be shared for further research upon receipt of proof of ethical approval, in accordance with the study’s original ethics approvals.</note>
    <abstract>Dataset to reproduce the statistical analysis reported in the manuscript titled &quot;A predictive score to identify high transmission-risk households of individuals newly-diagnosed with pulmonary tuberculosis in rural South Africa&quot;. 

This secondary data analysis used data collected as part of TB household case-contact study (Africa Health Research Institute (AHRI) Household Contact study) investigating M. tuberculosis (MTB) transmission in rural KwaZulu-Natal, South Africa. A key focus of the study was to better understand how HIV status, antiretroviral treatment (ART), and symptom presentation affect infectiousness of the index person with TB. The study recruited adults with bacteriologically-confirmed pulmonary TB from routine health services and tested their child household contacts (aged 2-14 years) for evidence of immunoreactivity to MTB using QuantiFERON TB Gold plus assay. 

By comparing prevalence of MTB immunoreactivity among children exposed to index cases with different HIV/ART statuses and symptom profiles, the research aimed to quantify within-household transmission risk and inform TB screening strategies.</abstract>
    <date>2026-02-10</date>
    <date_type>completed</date_type>
    <publisher>London School of Hygiene &amp; Tropical Medicine</publisher>
    <id_number>10.17037/DATA.00004932</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>XTBC</item>
    </research_centre>
    <collection_mode>
      <item>Interview</item>
      <item>SelfAdministeredQuestionnaire</item>
      <item>MeasurementsAndTests</item>
    </collection_mode>
    <full_text_status>restricted</full_text_status>
    <place_of_pub>London, United Kingdom</place_of_pub>
    <funders>
      <item>National Institutes of Health</item>
    </funders>
    <projects>
      <item>AHCoS</item>
    </projects>
    <resourcetype>
      <resourcetypegeneral>Dataset</resourcetypegeneral>
      <resourcetype>Quantitative</resourcetype>
    </resourcetype>
    <grant>1R01AI147321-01</grant>
    <language>
      <item>en</item>
      <item>zu</item>
    </language>
    <collection_date>
      <date_from>2022-02-01</date_from>
      <date_to>2024-02-29</date_to>
    </collection_date>
    <related_resources>
      <item>
        <title>Study protocol for parent study (Africa Health Research Institute (AHRI) Household Contact study)</title>
        <url>https://doi.org/10.12688/wellcomeopenres.22974.1</url>
        <type>paper</type>
      </item>
    </related_resources>
    <funders_info>
      <item>
        <project>AHCoS</project>
        <funder_name>National Institutes of Health</funder_name>
        <grant>1R01AI147321-01</grant>
        <funder_id>http://dx.doi.org/10.13039/100000002</funder_id>
      </item>
    </funders_info>
  </eprint>
</eprints>
