AHRI.Schisto.ClinData.2018.v1
Distribution of urogenital schistosomiasis and HIV infection in a typical rural South African population with rapid increase in access to piped water and sanitation: Implications for public health
Name | Country code |
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South Africa | ZA |
The dataset generated will be used to determine the distribution of schistosomiasis in the population (aged 15-50 years) and also used with the other datasets, will locate the hotspots for schisto-HIV coinfection in the population and also identify causal factors for the distribution.
Survey Data
Demographic data, each participant was asked a set of questions on the history of bilharzia and also the understanding of it as well as frequency of water contact
Clinical data, each participant has one urine test results. None of the participants were tested twice.
V1.0.0
Topic | Vocabulary | URI |
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Schistosomiasis-hiv coinfection distribution | Africa Health Research Institute | www.ahri.org |
uMkhanyakude district in northern KwaZulu-Natal
Individuals aged 15-50 years (both males and females) who are resident members of households in the AHRI DSS area
Name | Affiliation |
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Professor Frank Tanser | UCL; AHRI |
Mr Sipho Zulu | UKZN; AHRI |
Name |
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Africa Health Research Institute |
Name | Role |
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Research Development Grant (UKZN) | Core funding |
College of Health Sciences scholarship | Core funding |
University Capacity Development Program | Core funding |
Name | Affiliation | Role |
---|---|---|
Dr. Kobus, Herbst | AHRI | Chief Information Officer |
Dickman, Gareta | AHRI | Head of Research Data Management |
Njabulo Dayi | AHRI | Data management, data cleaning |
All individuals aged 15-50 years who are resident members of households in the DSS area were eligible to participate in the schistosomiasis study.
Start | End |
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2017-08-01 | 2018-03-29 |
NA
DDI.AHRI.Schisto.ClinData.2018.v1
Name |
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Africa Health Research Institute |