electricsheepafrica/africa-sudan-immunization-campaigns-impacted-due-to-covid-19-d0859dd7

Immunization Campaigns Impacted due to COVID-19 | Africa (Sudan official open data)

169 rows - 1 Africa country - 2018-2024 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Sudan as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

• Source: Immunization Campaigns Impacted due to COVID-19
• Publisher: World Health Organization
• Resource: Immunization Campaigns Impacted
• Format: CSV
• License: CC BY 4.0
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
SDN	169	2018	2024	Sudan

Indicators or Resource Contents

• immunization-campaigns-impacted-due-to-covid-19-780f258d - Immunization Campaigns Impacted due to COVID-19

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	immunization-campaigns-impacted-due-to-covid-19-780f258d
indicator_name	string	Human-readable indicator name.	Immunization Campaigns Impacted due to COVID-19
country_iso3	string	ISO3 country code.	SDN
country_name	string	Country name.	Sudan
year	Int64	Observation year.	2021
value	float64	Numeric observation value.	2642395.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_iso3	string	Source dimension.	AFG
dimension_country	string	Source dimension.	Afghanistan
dimension_campaign_vaccine	string	Source dimension.	bivalent Oral Poliovirus
dimension_planned_end_date	string	Source dimension.	2021-11-01
dimension_status	string	Source dimension.	On track
dimension_target_age_group	string	Source dimension.	0-5y
dimension_campaign_type	string	Source dimension.	Preventive
dimension_geographic_scale	string	Source dimension.	Subnational
source_period_start_year	Int64	First year inferred from source resource metadata.	``
source_period_end_year	Int64	Last year inferred from source resource metadata.	``
source_period_label	string	Human-readable period inferred from source resource metadata.	``
source_provider	category	Publishing organization.	World Health Organization
source_dataset	category	Source package title.	Immunization Campaigns Impacted due to COVID-19
source_resource	category	Source resource title.	Immunization Campaigns Impacted
source_package_id	category	CKAN package UUID.	d0e1806d-e1ed-4b60-bd4a-6a36dfb8053a
source_resource_id	category	CKAN resource UUID.	ed6827b6-fa77-4d9c-9129-2ab98377b016
source_url	category	Original source resource URL.	https://docs.google.com/spreadsheets/d/e/2PACX-1vT8m53T3ITzFdJWWKkdRRVRj
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-19T06:27:19Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-sudan-immunization-campaigns-impacted-due-to-covid-19-d0859dd7")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "SDN"]

Work with indicators

if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

@misc{electric_sheep_africa_africa_sudan_immunization_campaigns_impacted_due_to_covid_19_d0859dd7_2024,
  title        = {Immunization Campaigns Impacted due to COVID-19 | Africa (Sudan official open data)},
  author       = {World Health Organization},
  year         = {2024},
  url          = {https://data.humdata.org/dataset/immunization-campaigns-impacted},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-sudan-immunization-campaigns-impacted-due-to-covid-19-d0859dd7}}
}

License

Released under CC BY 4.0.

Original data (c) World Health Organization. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. 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/electricsheepafrica

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Provenance: ingested 2026-08-19 via the Electric Sheep pipeline. Source URL: https://docs.google.com/spreadsheets/d/e/2PACX-1vT8m53T3ITzFdJWWKkdRRVRjezgt6MeeU5c2tJWl9SNff7SYn3iJ9_7DZZ_tYSmYI67-vH7cqze1VE0/pub?gid=2141885116&single=true&output=csv