CoolFace
Datasetpublic

electricsheepasia/asia-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. | Asia (WHO GHO) ๐ŸŒ 1,054 observations ยท 48 Asia countries ยท 2000โ€“2021 ยท Repackaged by Electric Sheep Asia TL;DR This dataset contains 1,054 observations of Number of people diagnosed with new episode of pulmonary TB who have extrapulmonary TB. data across 48 Asia countries, spanning 2000โ€“2021, covering 1 distinct indicators. About the source Source: WHOโ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-who-number-of-people-diagnosed-with-new-episode-of-pulmonary-tb-umnewrelep.

sourceHugging Facecc-by-4.0updated 4mo agoView on Hugging Face
0likes6downloads
Dataset Card

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

๐ŸŒ 1,054 observations ยท 48 Asia countries ยท 2000โ€“2021 ยท Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years indicators license

TL;DR

This dataset contains 1,054 observations of Number of people diagnosed with new episode of pulmonary TB who have extrapulmonary TB. data across 48 Asia 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

48 Asia countries ยท top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
AFG2220002021
ARE2220002021
ARM2220002021
AZE2220002021
BGD2220002021
BHR2220002021
BRN2220002021
BTN2220002021
CHN2220002021
CYP2220002021
GEO2220002021
IDN2220002021
IND2220002021
IRN2220002021
IRQ2220002021
...33 more countries

Indicators (sample)

  • โ€”TB_notif_num_newrel_ep

Schema

ColumnTypeDescriptionExample
indicator_codeobjectโ€”TB_notif_num_newrel_ep
country_iso3objectโ€”AFG
who_regionobjectโ€”EMR
yearint64โ€”2000
dim1_typeobjectโ€”TB_CASETYPE
dim1objectโ€”TB_CASETYPE_TB_CASETYPE_EPTB
value_numericfloat64โ€”1620.0
value_lowobjectโ€”โ€”
value_highobjectโ€”โ€”
value_displayobjectโ€”1620
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("electricsheepasia/asia-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
indonesia = df[df["country_iso3"] == "IDN"]

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{asia_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. | Asia (WHO GHO)},
  author       = {World Health Organization},
  year         = {2021},
  url          = {https://www.who.int/data/gho},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-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 Asia repackaging.

About Electric Sheep

Electric Sheep Asia is part of the Electric Sheep mission: a unified, ML-ready data layer for Asia 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/electricsheepasia


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