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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.

sourceHugging Facecc-by-sa-4.0updated 2mo agoView on Hugging Face
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Dataset Card

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)

rows countries period indicators license

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

DimensionValue
Rows44
Countries/areas1
First period2026
Last period2026
Indicators8
Columns30
Source formatXLSX

Geographic Coverage

Top areas shown below, sorted by row count when available:

AreaRowsFirst yearLast yearName
SOM4420262026Somalia

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

ColumnTypeDescriptionExample
indicator_idstringStable source or Electric Sheep Africa indicator identifier.attacks-on-public-health-related-programmes-data-total-health-workers...
indicator_namestringHuman-readable indicator name.Attacks on Public Health-Related Programmes Data - total health worke...
country_iso3stringISO3 country or area code.SOM
source_sheetstringSource column from the original resource.Sheet1
country_namestringCountry or area name.Somalia
yearint64Observation year.2026
valuedoubleNumeric observation value.1.0
unitstringMeasurement unit, when supplied by the source.source_units_unspecified
dimension_datestringSource dimension retained during long-form normalization.2026-04-17 00:00:00
dimension_countrystringSource dimension retained during long-form normalization.Pakistan
dimension_country_isostringSource dimension retained during long-form normalization.PAK
dimension_admin_1stringSource dimension retained during long-form normalization.Khyber Pakhtunkhwa
dimension_geo_precisionstringSource dimension retained during long-form normalization.censored
dimension_reported_perpetratorstringSource dimension retained during long-form normalization.Civilian
dimension_reported_perpetrator_namestringSource dimension retained during long-form normalization.Unidentified Armed Actor
dimension_weapon_carried_usedstringSource dimension retained during long-form normalization.Firearms
dimension_location_of_incidentstringSource dimension retained during long-form normalization.Project site
dimension_polio_related_violencestringSource dimension retained during long-form normalization.Polio
dimension_date_event_enteredstringSource dimension retained during long-form normalization.2026-05-08 00:00:00
source_period_start_yearint64Start year inferred from source metadata.2026
source_period_end_yearint64End year inferred from source metadata.2026
source_period_labeldictionary<values=string, indices=int8, ordered=0>Source column from the original resource.2026
source_providerdictionary<values=string, indices=int8, ordered=0>Publishing organization.Insecurity Insight
source_datasetdictionary<values=string, indices=int8, ordered=0>Source dataset or package title.Attacks on Public Health-Related Programmes Data
source_resourcedictionary<values=string, indices=int8, ordered=0>Source resource title, table name, or file name.2026 Attacks on Public Health Incident Data.xlsx
source_package_iddictionary<values=string, indices=int8, ordered=0>Source package identifier.b6286e25-8402-44f0-b81b-a737a81a1a21
source_resource_iddictionary<values=string, indices=int8, ordered=0>Source resource identifier.0f7ebcf8-8d75-4e31-8111-63ebda67ef66
source_urldictionary<values=string, indices=int8, ordered=0>Original source URL or download URL.https://data.humdata.org/dataset/b6286e25-8402-44f0-b81b-a737a81a1a21...
license_iddictionary<values=string, indices=int8, ordered=0>Source license identifier.cc-by-sa
retrieved_atdictionary<values=string, indices=int8, ordered=0>UTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-08-10T14:51:11Z

Usage

python
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

python
print(df.info())
print(df.head())

Filter By Geography

python
if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "SOM"]

Time-Series Pattern

python
if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

python
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

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_iso3 as the safest geography join key when present

Citation

bibtex
@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