electricsheepeurope/europe-who-new-or-unknown-treatment-history-cases-pulmonary

New or unknown treatment history cases: Pulmonary, bacteriologically confirmed | Europe (WHO GHO)

🇪🇺 860 observations · 42 Europe countries · 2000–2023 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

TL;DR

This dataset contains 860 observations of New or unknown treatment history cases: Pulmonary, bacteriologically confirmed data across 42 Europe countries, spanning 2000–2023, covering 1 distinct indicators.

About the source

• —Source: WHO Global Health Observatory
• —Publisher: World Health Organization
• —License: cc-by-4.0
• —Topic: New or unknown treatment history cases: Pulmonary, bacteriologically confirmed

Geographic coverage

42 Europe countries · top rows shown below, sorted by row count:

Indicators (sample)

• —TB_new_labconf

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-who-new-or-unknown-treatment-history-cases-pulmonary")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

germany = df[df["country_iso3"] == "DEU"]

Time-series for a single indicator

sample = (df[df["indicator_code"] == "TB_new_labconf"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="TB_new_labconf")

Pivot to country × year matrix

matrix = (df[df["indicator_code"] == "TB_new_labconf"]
          .pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())

Citation

@misc{europe_who_new_or_unknown_treatment_history_cases_pulmonary_2023,
  title        = {New or unknown treatment history cases: Pulmonary, bacteriologically confirmed | Europe (WHO GHO)},
  author       = {World Health Organization},
  year         = {2023},
  url          = {https://www.who.int/data/gho},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-who-new-or-unknown-treatment-history-cases-pulmonary}}
}

License

Released under cc-by-4.0.

Original data © World Health Organization. When using this dataset, please cite both the original source above and the Electric Sheep Europe repackaging.

About Electric Sheep

Electric Sheep Europe is part of the Electric Sheep mission: a unified, ML-ready data layer for Europe on HuggingFace. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepeurope

Provenance: ingested 2026-05-29 via the Electric Sheep pipeline. Source URL: https://www.who.int/data/gho