electricsheepasia/asia-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. | Asia (WHO GHO) ๐ 1,054 observations ยท 48 Asia countries ยท 2000โ2021 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 are clinically diagnosed. data across 48 Asia countries, spanning 2000โ2021, covering 1 distinct indicators. About the source Source:โฆ 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-wrelclindx.
Number of people diagnosed with new episode of pulmonary TB who are clinically diagnosed. | Asia (WHO GHO)
๐ 1,054 observations ยท 48 Asia countries ยท 2000โ2021 ยท Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)
TL;DR
This dataset contains 1,054 observations of Number of people diagnosed with new episode of pulmonary TB who are clinically diagnosed. data across 48 Asia countries, spanning 2000โ2021, 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
48 Asia countries ยท 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("electricsheepasia/asia-who-number-of-people-diagnosed-with-new-episode-of-pulmonary-tb-wrelclindx")
df = ds["train"].to_pandas()
print(df.head())Filter to one country
indonesia = df[df["country_iso3"] == "IDN"]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 ร 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{asia_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. | 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-wrelclindx}}
}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
