Datasets:
metadata
license: cc0-1.0
task_categories:
- tabular-classification
size_categories:
- 1K<n<10K
Outbreak Containment Data
Simulated outbreak data for epidemiological modeling.
Usage
from datasets import load_dataset
dataset = load_dataset("epidata-research/outbreak-containment-data")
df = dataset["train"].to_pandas()
Or use the provided loader:
from loader import load_data
df = load_data()
Schema
Metrics
| Column | Type | Description |
|---|---|---|
| immune_diversity | float | Normalized metric |
| transmission_coherence | float | Normalized metric |
| healthcare_capacity | float | Normalized metric |
| containment_index | float | Normalized metric |
Categorical Variables
| Column | Type | Description |
|---|---|---|
| pathogen_type | string | Categorical variable |
| region_density | string | Categorical variable |
Statistics
- Rows: 1000
- Columns: 6
License
CC0 1.0 Universal (Public Domain)
Note: Homogeneity is the breeding ground of plague.