{"doc_desc":{"title":"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","idno":"DDI.AHRI.Schisto.ClinData.2018.v1","producers":[{"name":"Africa Health Research Institute","abbreviation":"AHRI","affiliation":"","role":""}]},"study_desc":{"title_statement":{"idno":"AHRI.Schisto.ClinData.2018.v1","title":"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"},"authoring_entity":[{"name":"Professor Frank Tanser","affiliation":"UCL; AHRI"},{"name":"Mr Sipho Zulu","affiliation":"UKZN; AHRI"},{"name":"","affiliation":""}],"oth_id":[{"name":"Dr. Kobus, Herbst","affiliation":"AHRI","email":"","role":"Chief Information Officer"},{"name":"Dickman, Gareta","affiliation":"AHRI","email":"","role":"Head of Research Data Management"},{"name":"Njabulo Dayi","affiliation":"AHRI","email":"","role":"Data management, data cleaning"},{"name":"","affiliation":"","email":"","role":""},{"name":"","affiliation":"","email":"","role":""}],"production_statement":{"producers":[{"name":"Africa Health Research Institute","affiliation":"","role":""}],"funding_agencies":[{"name":"Research Development Grant (UKZN)","abbreviation":"RDG","role":"Core funding"},{"name":"College of Health Sciences scholarship","abbreviation":"CHS","role":"Core funding"},{"name":"University Capacity Development Program","abbreviation":"UCDP","role":"Core funding"}],"grant_no":"N\/A"},"version_statement":{"version":"V1.0.0"},"study_info":{"keywords":[{"keyword":"Tuberculosis","vocab":"Africa Health Research Institute","uri":"www.ahri.org"}],"topics":[{"topic":"Schistosomiasis-hiv coinfection distribution","vocab":"Africa Health Research Institute","uri":"www.ahri.org"}],"abstract":"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.","coll_dates":[{"start":"2017-08-01","end":"2018-03-29","cycle":""}],"nation":[{"name":"South Africa","abbreviation":"ZA"}],"geog_coverage":"uMkhanyakude district in northern KwaZulu-Natal","analysis_unit":"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\nClinical data, each participant has one urine test results. None of the participants were tested twice.","universe":"Individuals aged 15-50 years (both males and females) who are resident members of households in the AHRI DSS area","data_kind":"Survey Data"},"method":{"data_collection":{"sampling_procedure":"All individuals aged 15-50 years who are resident members of households in the DSS area were eligible to participate in the schistosomiasis study.","cleaning_operations":"NA"}}},"schematype":"survey"}