electricsheepeurope/europe-who-number-of-people-diagnosed-with-new-episode-of-pulmonary-tb-wrelclindx
Number of people diagnosed with new episode of pulmonary TB who are clinically diagnosed. | Europe (WHO GHO) 🇪🇺 914 observations · 42 Europe countries · 2000–2021 · Repackaged by Electric Sheep Europe TL;DR This dataset contains 914 observations of Number of people diagnosed with new episode of pulmonary TB who are clinically diagnosed. data across 42 Europe countries, spanning 2000–2021, covering 1 distinct indicators. About the source… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-who-number-of-people-diagnosed-with-new-episode-of-pulmonary-tb-wrelclindx.
Number of people diagnosed with new episode of pulmonary TB who are clinically diagnosed. | Europe (WHO GHO)
🇪🇺 914 observations · 42 Europe countries · 2000–2021 · Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)
TL;DR
This dataset contains 914 observations of Number of people diagnosed with new episode of pulmonary TB who are clinically diagnosed. data across 42 Europe countries, spanning 2000–2021, covering 1 distinct indicators.
About the source
- Source: WHO Global Health Observatory
- Publisher: World Health Organization
- License: cc-by-4.0
- Topic: Number of people diagnosed with new episode of pulmonary TB who are clinically diagnosed.
Geographic coverage
42 Europe countries · top rows shown below, sorted by row count:
Indicators (sample)
TB_notif_num_newrel_clindx
Schema
Disaggregation dimensions
The following columns provide disaggregation dimensions:
- `dim1_type` (1 unique values):
TB_CASETYPE - `dim1` (1 unique values):
TB_CASETYPE_TB_CASETYPE_CDPTB
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepeurope/europe-who-number-of-people-diagnosed-with-new-episode-of-pulmonary-tb-wrelclindx")
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_notif_num_newrel_clindx"]
.sort_values("year"))
sample.plot(x="year", y="value_numeric", title="TB_notif_num_newrel_clindx")Pivot to country × year matrix
matrix = (df[df["indicator_code"] == "TB_notif_num_newrel_clindx"]
.pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())Citation
@misc{europe_who_number_of_people_diagnosed_with_new_episode_of_pulmonary_tb_wrelclindx_2021,
title = {Number of people diagnosed with new episode of pulmonary TB who are clinically diagnosed. | Europe (WHO GHO)},
author = {World Health Organization},
year = {2021},
url = {https://www.who.int/data/gho},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-who-number-of-people-diagnosed-with-new-episode-of-pulmonary-tb-wrelclindx}}
}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
