--- license: cc-by-4.0 task_categories: - tabular-classification language: - en tags: - environmental-health - asbestos - mesothelioma - occupational-health - lung-cancer - synthetic - sub-saharan-africa pretty_name: Asbestos Exposure & Mesothelioma (SSA) size_categories: - 10K ⚠️ **Synthetic dataset** — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference. # Asbestos Exposure & Mesothelioma in Sub-Saharan Africa ## Abstract Synthetic dataset modelling asbestos exposure pathways, fibre types, and health outcomes (mesothelioma, asbestosis, lung cancer) across three settings in SSA. South Africa was a global leader in asbestos production; Wagner (1960) discovered the mesothelioma link there. WHO Africa reports asbestos use continues despite warnings, particularly in roofing, construction, and brake linings. Latency period is 20-50 years. ### Scenarios - **Former Mining Community**: South Africa-type communities near closed asbestos mines with high crocidolite/amosite exposure. - **Urban Construction**: Cities with ongoing chrysotile use in building materials and demolition. - **Rural Asbestos Roofing**: Widespread asbestos-cement roofing in rural areas with chronic low-level exposure. ## Parameterization Evidence | Parameter | Value | Source | Year | | --- | --- | --- | --- | | Asbestos causes mesothelioma, asbestosis, lung cancer | Health effects | WHO Fact Sheet; IARC Group 1 | 2023 | | SA global leader in asbestos production; ban in 2002 | History | ScienceDirect; asbestos.com | 2004 | | Wagner (1960) discovered mesothelioma-asbestos link in SA | Discovery | PMC1522094 | 2005 | | Asbestos use continues in Africa despite warnings | Ongoing use | WHO Africa | 2023 | | Eastern SSA: substantial increases in asbestos lung cancer | GBD trend | PMC12573932 (GBD 2021) | 2024 | | Mesothelioma mortality lower than expected in SA due to HIV | Co-morbidity | PubMed 21422006 | 2011 | | Latency period 20-50 years | Disease natural history | WHO | 2023 | ## Validation ![Validation Report](validation_report.png) ## Usage ```python from datasets import load_dataset ds = load_dataset("electricsheepafrica/asbestos-mesothelioma", "former_mining_community") ``` ## Limitations - Synthetic data; not for clinical decision-making. - Latency modelling simplified; real exposure-disease relationships are complex. - Does not capture legacy contamination mapping or remediation status. ## References 1. WHO. Asbestos Fact Sheet. 2023. 2. WHO Africa. Asbestos use continues in Africa. 2023. 3. PMC1522094. Asbestos-related disease in South Africa. 2005. 4. Wagner JC. Diffuse pleural mesothelioma and asbestos exposure in SA. *Br J Ind Med*, 1960. 5. PMC12573932. Global burden of lung cancer from occupational asbestos (GBD 2021). 2024. 6. PubMed 21422006. Mesothelioma mortality trends in South Africa 1995-2007. 2011. ## Citation ```bibtex @dataset{electricsheepafrica_asbestos_mesothelioma_2025, title={Asbestos Exposure and Mesothelioma in Sub-Saharan Africa}, author={Electric Sheep Africa}, year={2025}, publisher={HuggingFace}, url={https://huggingface.co/datasets/electricsheepafrica/asbestos-mesothelioma} } ``` ## License CC-BY-4.0