Dataset for: "Prevalence and risk factors of M. Tuberculosis Infection in young people across 14 communities in Zambia and South Africa"
Amofa-Sekyi, M
and Schaap, A
(2023).
Dataset for: "Prevalence and risk factors of M. Tuberculosis Infection in young people across 14 communities in Zambia and South Africa".
[Dataset].
London School of Hygiene & Tropical Medicine, London, United Kingdom.
10.17037/DATA.00003627.
and Schaap, A
(2023).
Dataset for: "Prevalence and risk factors of M. Tuberculosis Infection in young people across 14 communities in Zambia and South Africa".
[Dataset].
London School of Hygiene & Tropical Medicine, London, United Kingdom.
10.17037/DATA.00003627.
Dataset to reproduce the statistical analysis of the baseline prevalence of TB-Infection in the TREATS TB-infection incidence cohort. Each row represents a randomly selected adolescent or young adult of one of the 14 communities that were included in the cohort. TB infection was measured using the QuantiFERON Gold Plus assay. Apart from TB-infection at baseline, the data includes HIV-status, having a household contact on TB-treatment in the past or currently and demographic characteristics.
Keywords
Tuberculosis infection, IGRA, Population-based survey, adolescents and young adults| Item Type | Dataset |
|---|---|
| Description of data capture | All household members of randomly selected households were enumerated and eligible adolescents and young adults were invited to a health facility (Zambia) or clinical research site (South Africa) for enrolment. After informed consent. password-protected tablets were used by trained research assistants to record information on socio-demographic data, TB/HIV history, known TB risk factors, and other characteristics via the administration of a structured questionnaire. Rapid HIV-testing was done at the research site and results recorded using the same tablet. Blood samples were taken for QFT-Plus testing. Results of the QuantiFERON Gold Plus assay were afterwards combined with the questionnaire data using the unique (barcoded) identifier of the participant. |
| Capture method | Questionnaire |
| Collection Period |
From To July 2018 May 2019 |
| Date | 4 September 2023 |
| Language(s) of written materials | English |
| Creator(s) |
Amofa-Sekyi, M and Schaap, A
|
| LSHTM Faculty/Department | Faculty of Infectious and Tropical Diseases > Dept of Clinical Research |
| Research Centre | ACT Consortium |
| Participating Institutions | Zambart, Lusaka, Zambia, Health Systems Trust, Cape Town, South Africa, London School of Hygiene & Tropical Medicine, London, United Kingdom, KNCV Tuberculosis Foundation, The Hague, Netherlands, HIV Clinical Trials Unit, Imperial College London, London, United Kingdom |
| Funders |
Project Funder Grant Number Funder URI TREATS RIA2016S-1632 http://dx.doi.org/10.13039/501100001713 |
| Date Deposited | 08 Sep 2023 14:27 |
| Last Modified | 13 May 2024 09:19 |
| Publisher | London School of Hygiene & Tropical Medicine |
TREATS-ic-baseline_data_codebook.html
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subject - Documentation
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- Available under Creative Commons: Attribution 4.0
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info - Codebook for the TREATS TB-infection cohort baseline analysis dataset
html - text/html
- folder_info
- 10kB
3627_UserGuide.html
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subject - Documentation
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- Available under Creative Commons: Attribution 4.0
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info - User guide for the TREATS TB-infection cohort baseline analysis dataset
html - text/html
- folder_info
- 4kB
TREATS-ic-baseline-dataset_open.csv
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subject - Data
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- Available under Creative Commons: Attribution 4.0
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info - Anonymised dataset containing data collected for the TREATS TB-infection cohort baseline analysis
description - text/plain
- folder_info
- 152kB
TREATS-ic-baseline-HIVstatus.txt
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subject - Data
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lock - Restricted to Request access for all
- Data Sharing Agreement
- Available under Data Sharing Agreement
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info - TREATS TB-infection cohort baseline dataset - HIV status
description - text/plain
- folder_info
- 55B
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