Datasets:
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
@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)