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electricsheepeurope/europe-who-ihr-coordination

IHR Coordination, National IHR Focal Point functions and advocacy | Europe (WHO GHO) ๐Ÿ‡ช๐Ÿ‡บ 125 observations ยท 42 Europe countries ยท 2021โ€“2023 ยท Repackaged by Electric Sheep Europe TL;DR This dataset contains 125 observations of IHR Coordination, National IHR Focal Point functions and advocacy data across 42 Europe countries, spanning 2021โ€“2023, covering 1 distinct indicators. About the source Source: WHO Global Health Observatory Publisher:โ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-who-ihr-coordination.

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IHR Coordination, National IHR Focal Point functions and advocacy | Europe (WHO GHO)

๐Ÿ‡ช๐Ÿ‡บ 125 observations ยท 42 Europe countries ยท 2021โ€“2023 ยท Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)

rows countries years indicators license

TL;DR

This dataset contains 125 observations of IHR Coordination, National IHR Focal Point functions and advocacy data across 42 Europe countries, spanning 2021โ€“2023, 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: IHR Coordination, National IHR Focal Point functions and advocacy

Geographic coverage

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

CountryRowsFirst yearLast year
ALB320212023
AUT320212023
BEL320212023
BGR320212023
BIH320212023
BLR320212023
CHE320212023
CZE320212023
DEU320212023
DNK320212023
ESP320212023
EST320212023
FIN320212023
FRA320212023
GBR320212023
...27 more countries

Indicators (sample)

  • โ€”IHRSPAR2_C02

Schema

ColumnTypeDescriptionExample
indicator_codeobjectโ€”IHRSPAR2_C02
country_iso3objectโ€”ALB
who_regionobjectโ€”EUR
yearint64โ€”2021
value_numericfloat64โ€”87.0
value_lowobjectโ€”โ€”
value_highobjectโ€”โ€”
value_displayobjectโ€”87
last_updatedobjectโ€”2024-05-14T16:43:40.88+02:00

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepeurope/europe-who-ihr-coordination")
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"] == "IHRSPAR2_C02"]
          .sort_values("year"))
sample.plot(x="year", y="value_numeric", title="IHRSPAR2_C02")

Pivot to country ร— year matrix

python
matrix = (df[df["indicator_code"] == "IHRSPAR2_C02"]
          .pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())

Citation

bibtex
@misc{europe_who_ihr_coordination_2023,
  title        = {IHR Coordination, National IHR Focal Point functions and advocacy | Europe (WHO GHO)},
  author       = {World Health Organization},
  year         = {2023},
  url          = {https://www.who.int/data/gho},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-who-ihr-coordination}}
}

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 2026-05-31 via the Electric Sheep pipeline. Source URL: https://www.who.int/data/gho