electricsheepeurope/europe-who-antenatal-care-attendees-positive-for-syphilis-who-received
Antenatal care attendees positive for syphilis who received treatment (%), reported | Europe (WHO GHO) πͺπΊ 58 observations Β· 10 Europe countries Β· 2010β2024 Β· Repackaged by Electric Sheep Europe TL;DR This dataset contains 58 observations of Antenatal care attendees positive for syphilis who received treatment (%), reported data across 10 Europe countries, spanning 2010β2024, covering 1 distinct indicators. About the source Source: WHO Globalβ¦ See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-who-antenatal-care-attendees-positive-for-syphilis-who-received.
Antenatal care attendees positive for syphilis who received treatment (%), reported | Europe (WHO GHO)
πͺπΊ 58 observations Β· 10 Europe countries Β· 2010β2024 Β· Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)
TL;DR
This dataset contains 58 observations of Antenatal care attendees positive for syphilis who received treatment (%), reported data across 10 Europe countries, spanning 2010β2024, covering 1 distinct indicators.
About the source
- Source: WHO Global Health Observatory
- Publisher: World Health Organization
- License: cc-by-4.0
- Topic: Antenatal care attendees positive for syphilis who received treatment (%), reported
Geographic coverage
10 Europe countries Β· top rows shown below, sorted by row count:
Indicators (sample)
PerctreatedANC
Schema
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepeurope/europe-who-antenatal-care-attendees-positive-for-syphilis-who-received")
df = ds["train"].to_pandas()
print(df.head())Filter to one country
germany = df[df["country_iso3"] == "DEU"]Time-series for a single indicator
sample = (df[df["indicator_code"] == "PerctreatedANC"]
.sort_values("year"))
sample.plot(x="year", y="value_numeric", title="PerctreatedANC")Pivot to country Γ year matrix
matrix = (df[df["indicator_code"] == "PerctreatedANC"]
.pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())Citation
@misc{europe_who_antenatal_care_attendees_positive_for_syphilis_who_received_2024,
title = {Antenatal care attendees positive for syphilis who received treatment (%), reported | Europe (WHO GHO)},
author = {World Health Organization},
year = {2024},
url = {https://www.who.int/data/gho},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-who-antenatal-care-attendees-positive-for-syphilis-who-received}}
}License
Released under cc-by-4.0.
Original data Β© 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
