| --- |
| license: cc-by-4.0 |
| task_categories: |
| - tabular-classification |
| - tabular-regression |
| language: |
| - en |
| tags: |
| - cancer |
| - oncology |
| - synthetic |
| - healthcare |
| - sub-saharan-africa |
| - screening |
| - prevention |
| pretty_name: Cancer Screening Programs Africa |
| size_categories: |
| - 10K<n<100K |
| configs: |
| - config_name: low_burden |
| data_files: cancer_screening_programs_low_burden.csv |
| - config_name: moderate_burden |
| data_files: cancer_screening_programs_moderate_burden.csv |
| default: true |
| - config_name: high_burden |
| data_files: cancer_screening_programs_high_burden.csv |
| data_type: synthetic |
| --- |
| |
| > ⚠️ **Synthetic dataset** — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference. |
|
|
| # Cancer Screening Programs Africa |
|
|
| ## Abstract |
|
|
| This synthetic dataset represents cancer screening program data across sub-Saharan Africa, capturing coverage rates, screening modalities, and outcomes for breast, cervical, and colorectal cancer screening. The dataset contains 4,000-6,000 records per scenario with parameters grounded in WHO data showing cervical screening coverage of 3-21% across the region. |
|
|
| ## 1. Introduction |
|
|
| ### 1.1 Problem Statement |
| Cancer screening coverage in sub-Saharan Africa remains critically low, with cervical cancer screening ranging from 3-21% despite the disease being highly preventable. Breast cancer screening programs are limited to few urban centers, and colorectal screening is virtually non-existent in most countries. |
|
|
| ### 1.2 Purpose |
| This dataset supports: |
| - Screening program evaluation and planning |
| - Coverage gap analysis |
| - Resource allocation modeling |
| - Policy development for cancer prevention |
|
|
| ## 2. Methodology |
|
|
| ### 2.1 Target Population |
| - **Geographic scope**: Sub-Saharan Africa |
| - **Population represented**: Adults eligible for cancer screening |
| - **Time period**: 2018-2025 |
|
|
| ### 2.2 Key Parameters |
| - Cervical screening coverage: 3-21% (WHO 2023) |
| - VIA positivity: 4-15% |
| - Mammography availability: <5% of facilities |
| - Clinical breast exam coverage: 10-30% |
|
|
| ### 2.3 Scenario Design |
|
|
| | Scenario | Description | Records | |
| |----------|-------------|---------| |
| | low_burden | High resource setting | 4,000 | |
| | moderate_burden | Standard setting | 5,000 | |
| | high_burden | Low resource setting | 6,000 | |
| |
| ## 3. Dataset Description |
| |
| ### 3.1 Key Variables |
| - patient_id, country, year, age, sex |
| - screening_type, screening_method |
| - screening_location, facility_type |
| - screening_result, follow_up_completed |
| - time_to_results, time_to_treatment |
| - detection_stage, treatment_received |
| - education_level, distance_to_facility |
| - health_insurance, previous_screening |
|
|
| ## 4. Data Sources |
|
|
| - WHO cervical cancer screening guidelines |
| - Program data from national screening programs |
| - IARC screening implementation studies |
| - Peer-reviewed literature on screening in LMICs |
|
|
| ## 5. Use Cases |
|
|
| - Screening coverage analysis |
| - Program effectiveness evaluation |
| - Resource planning for screening scale-up |
| - Equity analysis in screening access |
|
|
| ## 6. Citation |
|
|
| ```bibtex |
| @dataset{cancer_screening_programs_africa_2025, |
| title={Cancer Screening Programs Africa}, |
| author={Electric Sheep Africa}, |
| year={2025}, |
| publisher={HuggingFace}, |
| url={https://huggingface.co/datasets/electricsheepafrica/cancer-screening-programs-africa} |
| } |
| ``` |
|
|
| ## 7. License |
|
|
| Creative Commons Attribution 4.0 (CC-BY-4.0) |
|
|
