---
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)