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    Home / Data Portal / ARRRD / ZAF-UCTFHS-CADOLD-2019-2021
ARRRD

Accuracy of computer aided detection of occupational lung disease, Silicosis and pulmonary tuberculosis in ex-miners from the South African gold mines

South Africa, 2019 - 2021
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Reference ID
zaf-uctfhs-cadold-2019-2021
Producer(s)
Rodney Ehrlich, Stephen Barker, Jim te Water Naude, David Rees, Barry Kistnasamy, Julian Naidoo, Annalee Yassi
Collections
African Research Replication and Reproducibility Data
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 25, 2022
Last modified
Mar 28, 2022
Page views
2951
Downloads
100
  • Study Description
  • Data Description
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  • Identification
  • Version
  • Scope
  • Producers and sponsors
  • Data Collection
  • Access policy
  • Metadata production

Identification

Survey ID Number
zaf-uctfhs-cadold-2019-2021
Title
Accuracy of computer aided detection of occupational lung disease, Silicosis and pulmonary tuberculosis in ex-miners from the South African gold mines
Subtitle
Silicosis and pulmonary tuberculosis in ex-miners from the South African gold mines
Country
Name Country code
South Africa zaf
Study type
Reproducibility Dataset
Abstract
The data was used for the following research publication:

Accuracy of computer aided detection of occupational lung disease: silicosis and pulmonary tuberculosis in ex-miners from the South African gold mines by Rodney Ehrlich (Division of Occupational Medicine at the School of Public Health and Family Medicine, University of Cape Town, South Africa0 and Stephen Barker (University of British Columbia, Canada).

The data includes information from radiographic chest images collected from 2019-11-25 to 2020-02-13, external readings from 2020-11-01 to 2021-03-31 and CAD system readings from 2020-03-03 to 2021-03-08.
Kind of Data
Sensor Monitoring Study

Version

Version Description
Data underlying a research publication
Version Date
2021

Scope

Notes
The data consists of radiographic chest images, external readings, and CAD system readings.

Producers and sponsors

Primary investigators
Name Affiliation
Rodney Ehrlich University of Cape Town
Stephen Barker University of British Columbia
Jim te Water Naude Diagnostic Research
David Rees University of the Witwatersrand
Barry Kistnasamy Office of the Compensation Commissioner for Occupational Diseases
Julian Naidoo University of the Witwatersrand
Annalee Yassi University of British Columbia

Data Collection

Dates of Data Collection
Start End Cycle
2019-11-25 2020-02-13 Radiographic chest images
2020-11-01 2021-03-31 External readings
2020-03-03 2021-03-08 CAD system readings
Data Collection Mode
Other

Access policy

Access conditions
Public access data for use under a Creative Commons CC-BY (Attribution-only) License
Citation requirements
Ehrlich, Rodney, et al. 2022. Accuracy of computer aided detection of occupational lung disease: Silicosis and pulmonary tuberculosis in ex-miners from the South African gold mines 2019-2021 [dataset]. Version 1. Cape Town: Datafirst [distributor], 2022. DOI: https://doi.org/10.25828/sntw-6721
Access authority
Name Affiliation Email URL
DataFirst University of Cape Town support@data1st.org support.data1st.org

Metadata production

Producers
Name Affiliation Role
DataFirst University of Cape Town Metadata producer
Date of Metadata Production
2022-03-28
DDI Document version
v2
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