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Influence of setting and diagnostic algorithm on disease severity among people diagnosed with symptomatic and asymptomatic tuberculosis in South Africa: Dataset and code

South Africa
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Reference ID
AHRI.AHCoS.vuk
Producer(s)
Mareca Sithole, Nompumelelo Mkwanazi, Sweetness Dube, Dickman Gareta, Nicky McCreesh, Alison D Grant, Palwasha Y Khan, Indira Govender, Emily B Wong, Innocentia Buthelezi, Willem A. Hanekom, Gregory Ording Jespersen, Mark J. Siedner
Metadata
Documentation in PDF DDI/XML JSON
Created on
May 20, 2026
Last modified
May 20, 2026
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47
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  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Data processing
  • Data Access
  • Metadata production

    • Identification

    Survey ID number

    AHRI.AHCoS.vuk
    Title

    Influence of setting and diagnostic algorithm on disease severity among people diagnosed with symptomatic and asymptomatic tuberculosis in South Africa: Dataset and code
    Country
    Name Country code
    South Africa ZA
    Abstract

    Data and code to replicate the analyses in the paper "Influence of setting and diagnostic algorithm on disease severity among people diagnosed with symptomatic and asymptomatic tuberculosis in South Africa"
    Kind of Data

    Quantitative data from interview and clinical measuments
    Unit of Analysis

    Individuals

    Version

    Version Description

    v1.0.0

    Scope

    Topics
    Topic Vocabulary URI
    MeSH subject headings Africa Health Research Institute www.ahri.org
    Keywords
    Tuberculosis, symptoms, screening

    Coverage

    Geographic Coverage

    AHRI's Population Intervention Programme Study Area (PIPSA) situated in uMkhanyakude district KwaZulu-Natal province which is approximately 200km north of Durban. The area is approximately 845km2 in size and since 2017, the area has been expanded in to include the area which was formerly used for a cluster randomised trial on treatment as a prevention(TasP).

    For more refer:

    1. Dickman Gareta, Kathy Baisley, Thobeka Mngomezulu, Theresa Smit, Thandeka Khoza, Siyabonga Nxumalo, Jaco Dreyer, Sweetness Dube, Nomathamsanqa Majozi, Gregory Ording-Jesperson, Eugene Ehlers, Guy Harling, Maryam Shahmanesh, Mark Siedner, Willem Hanekom, Kobus Herbst, Cohort Profile Update: Africa Centre Demographic Information System (ACDIS) and population-based HIV survey, International Journal of Epidemiology, Volume 50, Issue 1, February 2021, Pages 33-34, https://doi.org/10.1093/ije/dyaa264

    2. Tanser F, Hosegood V, Bärnighausen T, Herbst K, Nyirenda M, Muhwava W, Newell C, Viljoen J, Mutevedzi T, Newell ML. Cohort Profile: Africa Centre Demographic Information System (ACDIS) and population-based HIV survey. Int J Epidemiol. 2008 Oct;37(5):956-62. doi: 10.1093/ije/dym211. Epub 2007 Nov 12. PMID: 17998242; PMCID: PMC2557060.

    3. Iwuji CC, Orne-Gliemann J, Larmarange J, Balestre E, Thiebaut R, Tanser F, Okesola N, Makowa T, Dreyer J, Herbst K, McGrath N, Bärnighausen T, Boyer S, De Oliveira T, Rekacewicz C, Bazin B, Newell ML, Pillay D, Dabis F; ANRS 12249 TasP Study Group. Universal test and treat and the HIV epidemic in rural South Africa: a phase 4, open-label, community cluster randomised trial. Lancet HIV. 2018 Mar;5(3):e116-e125. doi: 10.1016/S2352-3018(17)30205-9. Epub 2017 Nov 30. PMID: 29199100.
    Universe

    Participants in the Vukuzazi and AHCoS studies

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Mareca Sithole AHRI
    Nompumelelo Mkwanazi AHRI
    Sweetness Dube AHRI
    Dickman Gareta AHRI
    Nicky McCreesh AHRI, LSHTM
    Alison D Grant AHRI, LSHTM
    Palwasha Y Khan AHRI, LSHTM
    Indira Govender AHRI
    Emily B Wong AHRI
    Innocentia Buthelezi AHRI
    Willem A. Hanekom AHRI
    Gregory Ording Jespersen AHRI
    Mark J. Siedner AHRI
    Producers
    Name
    Africa Health Research Institute
    Funding Agency/Sponsor
    Name Abbreviation Role
    National Institute of Allergy and Infectious Diseases NIAID Funder
    Wellcome Trust WT Funder
    Bill and Melinda Gates Foundation BMGT Funder
    South African Department of Science and Innovation DSTI Funder
    South African Medical Research Council SAMRC Funder
    South African Population Research Infrastructure Network SAPRIN Funder

    Data processing

    Data Editing

    This dataset contains only the data necessary to replicate the results in the paper. Data from the AHCoS and Vukuzazi studies were combined into a single dataset, and variables were grouped

    Data Access

    Access conditions

    Access to the data requires accurate completion of the online data access application form accessible on the AHRI Data repository(https://data.ahri.org/). Data users are required to abide by the data use conditions stipulated on the application for access to the data. Failure to do so may result in their data access privileges revolved by the Data Custodian. In order to recognise the effort and intellectual contributions of AHRI investigators in producing and curating the data, users of AHRI data must acknowledge the source of the data and abide by the terms and conditions under which the data is accessed. All analytical datasets published on the AHRI Data Repository are assigned digital object identifier (DOIs) and the DOIs can be found on the Data Repository under Study Description tab - Access policy. AHRI data users are required to always cite the dataset using the DOI.
    Citation requirements

    Sithole, M., Mkwanazi, N., Dube, S., Gareta, D., McCreesh, N., Grant, A. D., Khan, P. Y., Govender, I., Wong, E. B., Buthelezi, I., Hanekom, W. A., Jespersen, G. O., & Siedner, M. J. (2026). Influence of setting and diagnostic algorithm on disease severity among people diagnosed with symptomatic and asymptomatic tuberculosis in South Africa: Dataset and code. Africa Health Research Institute.

    DOI:https://doi.org/10.23664/AHRI.AHCOS.VUK

    Metadata production

    DDI Document ID

    AHRI.AHCoS.vuk
    Producers
    Name Abbreviation
    Africa Health Research Institute AHRI
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