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electricsheepeurope/europe-who-number-of-people-diagnosed-with-new-episode-of-pulmonary-tb-umnewrelep

Number of people diagnosed with new episode of pulmonary TB who have extrapulmonary TB. | Europe (WHO GHO) ๐Ÿ‡ช๐Ÿ‡บ 914 observations ยท 42 Europe countries ยท 2000โ€“2021 ยท Repackaged by Electric Sheep Europe TL;DR This dataset contains 914 observations of Number of people diagnosed with new episode of pulmonary TB who have extrapulmonary TB. data across 42 Europe countries, spanning 2000โ€“2021, covering 1 distinct indicators. About the source Source:โ€ฆ 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-umnewrelep.

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Dataset Card

Number of people diagnosed with new episode of pulmonary TB who have extrapulmonary TB. | Europe (WHO GHO)

๐Ÿ‡ช๐Ÿ‡บ 914 observations ยท 42 Europe countries ยท 2000โ€“2021 ยท Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years indicators license

TL;DR

This dataset contains 914 observations of Number of people diagnosed with new episode of pulmonary TB who have extrapulmonary TB. data across 42 Europe countries, spanning 2000โ€“2021, covering 1 distinct indicators.

About the source

  • โ€”Source: WHO Global Health Observatory
  • โ€”Publisher: World Health Organization
  • โ€”License: cc-by-4.0
  • โ€”Topic: Number of people diagnosed with new episode of pulmonary TB who have extrapulmonary TB.

Geographic coverage

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

CountryRowsFirst yearLast year
ALB2220002021
AND2220002021
AUT2220002021
BEL2220002021
BGR2220002021
BIH2220002021
BLR2220002021
CHE2220002021
CZE2220002021
DEU2220002021
DNK2220002021
ESP2220002021
EST2220002021
FIN2220002021
FRA2220002021
...27 more countries

Indicators (sample)

  • โ€”TB_notif_num_newrel_ep

Schema

ColumnTypeDescriptionExample
indicator_codeobjectโ€”TB_notif_num_newrel_ep
country_iso3objectโ€”ALB
who_regionobjectโ€”EUR
yearint64โ€”2000
dim1_typeobjectโ€”TB_CASETYPE
dim1objectโ€”TB_CASETYPE_TB_CASETYPE_EPTB
value_numericfloat64โ€”234.0
value_lowobjectโ€”โ€”
value_highobjectโ€”โ€”
value_displayobjectโ€”234
last_updatedobjectโ€”2024-05-06T09:56:42.727+02:00

Disaggregation dimensions

The following columns provide disaggregation dimensions:

  • โ€”`dim1_type` (1 unique values): TB_CASETYPE
  • โ€”`dim1` (1 unique values): TB_CASETYPE_TB_CASETYPE_EPTB

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-who-number-of-people-diagnosed-with-new-episode-of-pulmonary-tb-umnewrelep")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

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

Time-series for a single indicator

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

Pivot to country ร— year matrix

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

Citation

bibtex
@misc{europe_who_number_of_people_diagnosed_with_new_episode_of_pulmonary_tb_umnewrelep_2021,
  title        = {Number of people diagnosed with new episode of pulmonary TB who have extrapulmonary TB. | 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-umnewrelep}}
}

License

Released under cc-by-4.0.

Original data ยฉ 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