electricsheepafrica/africa-somalia-attacks-on-public-health-related-programmes-data-5735f657
Attacks On Public Health Related Programmes Data | Africa (Insecurity Insight) 44 rows - 1 Africa country/area - 2026 - 8 indicators - Engineered by Electric Sheep Africa TL;DR This dataset contains 44 rows from Insecurity Insight, covering Attacks On Public Health Related Programmes Data. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples. What This Dataset Measures… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-somalia-attacks-on-public-health-related-programmes-data-5735f657.
Attacks On Public Health Related Programmes Data | Africa (Insecurity Insight)
44 rows - 1 Africa country/area - 2026 - 8 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
TL;DR
This dataset contains 44 rows from Insecurity Insight, covering Attacks On Public Health Related Programmes Data. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.
What This Dataset Measures
Health datasets help analysts monitor disease burden, service delivery, population health outcomes, and public-health program performance.
Source-provided context: Resource covering 01 January to 30 May 2026 on attacks on health care affecting public-health related programmes, including COVID-19, Ebola, and vaccination campaigns. published in the Attacks on Health Care News Brief. Based on agency- and open source events. Categorized by country.
How To Read This Dataset
- One row means: one indicator observation for one geography, time period, and optional source dimensions.
- Primary geography column:
country_iso3. - Best time column:
year. - Time coverage basis: year.
- Recommended join keys:
country_iso3,year,indicator_id.
Coverage
Geographic Coverage
Top areas shown below, sorted by row count when available:
Indicators, Variables, Or Resource Contents
attacks-on-public-health-related-programmes-data-total-health-workers-ki-a157935e- Attacks on Public Health-Related Programmes Data - total health workers killed(sourceunitsunspecified)attacks-on-public-health-related-programmes-data-total-vaccinators-kille-c55d12c9- Attacks on Public Health-Related Programmes Data - total vaccinators killed(sourceunitsunspecified)attacks-on-public-health-related-programmes-data-total-health-workers-ki-ba299e0b- Attacks on Public Health-Related Programmes Data - total health workers kidnapped(sourceunitsunspecified)attacks-on-public-health-related-programmes-data-total-vaccinators-kidna-f163ca9b- Attacks on Public Health-Related Programmes Data - total vaccinators kidnapped(sourceunitsunspecified)attacks-on-public-health-related-programmes-data-number-of-incidents-whe-3357233d- Attacks on Public Health-Related Programmes Data - number of incidents where health facilities providing pu(sourceunitsunspecified)attacks-on-public-health-related-programmes-data-number-of-incidents-whe-e1745262- Attacks on Public Health-Related Programmes Data - number of incidents where health transport providing pub(sourceunitsunspecified)attacks-on-public-health-related-programmes-data-number-of-security-pers-eb9c72e4- Attacks on Public Health-Related Programmes Data - number of security personnel working for public related(sourceunitsunspecified)attacks-on-public-health-related-programmes-data-event-id-178a5281- Attacks on Public Health-Related Programmes Data - event id(sourceunitsunspecified)
Schema
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-somalia-attacks-on-public-health-related-programmes-data-5735f657")
df = ds["train"].to_pandas()
print(df.head())Inspect Columns
print(df.info())
print(df.head())Filter By Geography
if "country_iso3" in df.columns:
sample = df[df["country_iso3"] == "SOM"]Time-Series Pattern
if "value" in df.columns and "year" in df.columns:
trend = df.sort_values("year")Pivot For Analysis
if {"indicator_id", "year", "value"}.issubset(df.columns):
matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
print(matrix.tail())Data Quality Notes
- Canonical time field:
year. - Missing values are preserved rather than silently imputed.
- Column names are standardized for machine use; source meanings are preserved where known.
- Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.
Source And Provenance
- Source: Insecurity Insight
- Publisher: Insecurity Insight
- Portal: https://data.humdata.org
- Resource: 2026 Attacks on Public Health Incident Data.xlsx
- License: CC BY-SA 4.0
- Retrieved/generated:
2026-08-10T14:54:48Z - Hugging Face repo: electricsheepafrica/africa-somalia-attacks-on-public-health-related-programmes-data-5735f657
Transformations Applied
- Converted the source table to Parquet for efficient analytics and ML workflows.
- Added or preserved source provenance columns where available.
- Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
- Preserved source-reported values without analytical imputation.
Suggested Analyses
- Compare health outcomes across geographies
- Track changes over time
- Join with population or facility data
- Build time-series views and period-over-period comparisons
- Pivot to geography x period or indicator x period matrices
- Check missingness before modeling
- Use
country_iso3as the safest geography join key when present
Citation
@misc{electric_sheep_africa_africa_somalia_attacks_on_public_health_related_programmes_data_5735f657_2026,
title = {Attacks On Public Health Related Programmes Data | Africa (Insecurity Insight)},
author = {Insecurity Insight},
year = {2026},
url = {https://data.humdata.org/dataset/attacks-on-vaccination-campaigns},
publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-somalia-attacks-on-public-health-related-programmes-data-5735f657}}
}License
Released under CC BY-SA 4.0.
Original data is published by Insecurity Insight. Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.
About Electric Sheep Africa
Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.
Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://data.humdata.org/dataset/attacks-on-vaccination-campaigns
