Dataset for "A predictive score to identify high transmission-risk households of individuals newly diagnosed with pulmonary tuberculosis in rural South Africa"
and Govender, I
(2026).
Dataset for "A predictive score to identify high transmission-risk households of individuals newly diagnosed with pulmonary tuberculosis in rural South Africa".
[Dataset].
London School of Hygiene & Tropical Medicine, London, United Kingdom.
10.17037/DATA.00004932.
Dataset to reproduce the statistical analysis reported in the manuscript titled "A predictive score to identify high transmission-risk households of individuals newly-diagnosed with pulmonary tuberculosis in rural South Africa".
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.
Additional Information
Data will be shared for further research upon receipt of proof of ethical approval, in accordance with the study’s original ethics approvals.
Keywords
Pulmonary tuberculosis; Within-household transmission risk; Predictive model; Contact-tracing; Resource-constrained setting| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Dataset Quantitative |
| Capture method | Interview, Questionnaire, Measurements and tests |
| Collection Period |
From To 1 February 2022 29 February 2024 |
| Date | 10 February 2026 |
| Language(s) of written materials | English, Zulu |
| Creator(s) |
Khan, P and Govender, I
|
| LSHTM Faculty/Department |
Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology & International Health (2023-) Faculty of Infectious and Tropical Diseases > Dept of Clinical Research Faculty of Public Health and Policy > Dept of Global Health and Development |
| Research Centre | TB Centre |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom; Africa Health Research Institute (AHRI) |
| Funders |
Project Funder Grant Number Funder URI |
| Date Deposited | 18 Feb 2026 15:18 |
| Last Modified | 18 Feb 2026 18:14 |
| Publisher | London School of Hygiene & Tropical Medicine |
Data / Code
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subject - Data
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lock - Restricted to Request access for all
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copyright - Available under Data Sharing Agreement
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info - AHCoS Prediction Model data
description - text/plain
- folder_info
- 141B
Documentation
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subject - Documentation
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- Available under Creative Commons: Attribution 4.0
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info - Codebook for AHCoS Prediction Model data
html - text/html
- folder_info
- 5kB
