CoolFace
Datasetpublic

electricsheepasia/asia-who-number-of-people-diagnosed-with-new-episode-of-pulmonary-tb-numlabconf

Number of people diagnosed with new episode of pulmonary TB who are bacteriologically confirmed. | Asia (WHO GHO) 🌏 1,048 observations · 48 Asia countries · 2000–2021 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 1,048 observations of Number of people diagnosed with new episode of pulmonary TB who are bacteriologically confirmed. data across 48 Asia countries, spanning 2000–2021, covering 1 distinct indicators. About the source… 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-numlabconf.

sourceHugging Facecc-by-4.0updated 4mo agoView on Hugging Face
0likes7downloads
Dataset Card

Number of people diagnosed with new episode of pulmonary TB who are bacteriologically confirmed. | Asia (WHO GHO)

🌏 1,048 observations · 48 Asia countries · 2000–2021 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years indicators license

TL;DR

This dataset contains 1,048 observations of Number of people diagnosed with new episode of pulmonary TB who are bacteriologically confirmed. data across 48 Asia 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 bacteriologically confirmed.

Geographic coverage

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

CountryRowsFirst yearLast year
AFG2220002021
ARE2220002021
ARM2220002021
AZE2220002021
BGD2220002021
BHR2220002021
BRN2220002021
BTN2220002021
CHN2220002021
GEO2220002021
IDN2220002021
IND2220002021
IRQ2220002021
IRN2220002021
ISR2220002021
...33 more countries

Indicators (sample)

  • —TB_notif_num_labconf

Schema

ColumnTypeDescriptionExample
indicator_codeobject—TB_notif_num_labconf
country_iso3object—AFG
who_regionobject—EMR
yearint64—2000
dim1_typeobject—TB_CASETYPE
dim1object—TB_CASETYPE_TB_CASETYPE_BCPTB
value_numericfloat64—2892.0
value_lowobject——
value_highobject——
value_displayobject—2892
last_updatedobject—2024-05-06T09:56:42.727+02:00

Disaggregation dimensions

The following columns provide disaggregation dimensions:

  • —`dim1_type` (1 unique values): TB_CASETYPE
  • —`dim1` (1 unique values): TB_CASETYPE_TB_CASETYPE_BCPTB

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-who-number-of-people-diagnosed-with-new-episode-of-pulmonary-tb-numlabconf")
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_labconf"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="TB_notif_num_labconf")

Pivot to country × year matrix

python
matrix = (df[df["indicator_code"] == "TB_notif_num_labconf"]
          .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_numlabconf_2021,
  title        = {Number of people diagnosed with new episode of pulmonary TB who are bacteriologically confirmed. | 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-numlabconf}}
}

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 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