Supplementary Data for: Indigenous knowledge techniques associated with the treatment of venereal diseases in Okitipupa Local Government Area, Ondo State, Nigeria
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This dataset contains the supplementary tables and figures supporting the ethnobotanical study on the Indigenous treatment of venereal diseases (VDs) in Okitipupa LGA. The collection includes detailed inventories of non-plant adjunct materials (animals and minerals) used in traditional remedies, alongside hospital records and Ondo State surveillance data from the Nigeria Centre for Disease Control and Prevention (NCDC) used for contextual triangulation of Sexually Transmitted Infection (STI) prevalence in the study area.Content:TablesSupplementary Table 1 (Animals): Inventory of faunal species used as adjuncts in the preparation of traditional remedies for VDs. Includes scientific names, indigenous names (Yorùbá/Ìkálẹ̀), and specific parts used (e.g., testes, eggs).Supplementary Table 2 (Minerals/Organic Materials): Detailed list of minerals, chemicals, and organic adjuncts (e.g., trona, sulfur, camphor) used alongside medicinal plants in VD treatments, including their indigenous nomenclature and chemical constituents.Supplementary Table 3 (HMB Records 2023–2024): Summarised clinical records from Ondo State Ministry of Health - Hospital Management Board (HMB) showing the prevalence of HIV, Syphilis, and Gonorrhea in Okitipupa LGA.Supplementary Table 4 (NCDC IDSR-003): Integrated Disease Surveillance and Response (IDSR) monthly notification data for STIs and HIV/AIDS in Ondo State (2023–2024), providing a regional epidemiological context for the study.FiguresFigure 1 (Clustered Column Chart): Visual representation of the distribution and frequency of specific venereal diseases reported or treated within the study parameters.Figure 2 (Potency Determination/Small Multiples): Comparative graphical analysis showing the perceived potency or efficacy of various indigenous treatment techniques and plant-adjunct combinations.
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Publication Details
Subfield
Plant Science
Field
Agricultural and Biological Sciences
Domain
Life Sciences
Confidence Score
51%
Source
Scholar Data Model