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electricsheepasia/asia-who-neonatal-tetanus-number-of-reported-cases

Neonatal tetanus - number of reported cases | Asia (WHO GHO) ๐ŸŒ 1,750 observations ยท 48 Asia countries ยท 1974โ€“2024 ยท Repackaged by Electric Sheep Asia TL;DR This dataset contains 1,750 observations of Neonatal tetanus - number of reported cases data across 48 Asia countries, spanning 1974โ€“2024, covering 1 distinct indicators. About the source Source: WHO Global Health Observatory Publisher: World Health Organization License: cc-by-4.0 Topic:โ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-who-neonatal-tetanus-number-of-reported-cases.

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Dataset Card

Neonatal tetanus - number of reported cases | Asia (WHO GHO)

๐ŸŒ 1,750 observations ยท 48 Asia countries ยท 1974โ€“2024 ยท Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years indicators license

TL;DR

This dataset contains 1,750 observations of Neonatal tetanus - number of reported cases data across 48 Asia countries, spanning 1974โ€“2024, covering 1 distinct indicators.

About the source

Geographic coverage

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

CountryRowsFirst yearLast year
IDN5119742024
MYS5119742024
LKA5119742024
MMR5019742024
PHL5019742024
THA4919742024
ISR4819742022
BHR4819752024
JOR4719762024
PAK4619762024
SYR4619752024
IRQ4619762024
CYP4519782024
MNG4319742024
NPL4219812023
...33 more countries

Indicators (sample)

  • โ€”WHS3_56

Schema

ColumnTypeDescriptionExample
indicator_codeobjectโ€”WHS3_56
country_iso3objectโ€”AFG
who_regionobjectโ€”EMR
yearint64โ€”1980
value_numericfloat64โ€”16.0
value_lowobjectโ€”โ€”
value_highobjectโ€”โ€”
value_displayobjectโ€”16
last_updatedobjectโ€”2025-07-14T16:36:19.017+02:00

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-who-neonatal-tetanus-number-of-reported-cases")
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"] == "WHS3_56"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="WHS3_56")

Pivot to country ร— year matrix

python
matrix = (df[df["indicator_code"] == "WHS3_56"]
          .pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())

Citation

bibtex
@misc{asia_who_neonatal_tetanus_number_of_reported_cases_2024,
  title        = {Neonatal tetanus - number of reported cases | Asia (WHO GHO)},
  author       = {World Health Organization},
  year         = {2024},
  url          = {https://www.who.int/data/gho},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-who-neonatal-tetanus-number-of-reported-cases}}
}

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