electricsheepafrica/africa-burkina-faso-coronavirus-covid-19-subnational-vaccination-data

Burkina Faso: Coronavirus (Covid-19) Subnational Vaccination data

Publisher: HERA - Humanitarian Emergency Response Africa · Source: HDX · License: cc-by · Updated: 2025-05-05

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Abstract

Subnational Covid19 vaccination data in Burkina Faso per region from the beginning of the vaccination campaign. Vaccine type : AstraZeneca ; Johnson & Johnson Details : first & second dose Covax initiative Data : new vaccinated, cumulative vaccinated, new health workers vaccinated, cumulative health workers vaccinated

Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2025-05-05. Geographic scope: BFA.

Curated into ML-ready Parquet format by Electric Sheep Africa.

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Dataset Characteristics

Domain	Public health
Unit of observation	First-level administrative unit observations
Rows (total)	1,078
Columns	3 (0 numeric, 3 categorical, 0 datetime)
Train split	862 rows
Test split	215 rows
Geographic scope	BFA
Publisher	HERA - Humanitarian Emergency Response Africa
HDX last updated	2025-05-05

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Variables

Geographic — id_date_iso_3_pays_id_pays_region_id_region_nouveaux_individus_vaccines_1_dose_total_individus_vaccines_1_dose_nouveaux_agents_sante_vaccines_1_dose_total_agents_sante_vaccines_1_dose_nouveaux_individus_vaccines_2_doses_total_individus_vaccines_2_doses_nouveaux_agents_sante_vaccines_2_doses_total_agents_sante_vaccines_2_doses_source (1;03/06/2021;BFA;Burkina Faso;16;Boucle du Mouhoun;208;0;0;0;0;0;0;0;0;Ministère de la Santé - Burkina Faso;;, 725;24/07/2021;BFA;Burkina Faso;16;Plateau-Central;218;0;773;0;252;0;0;0;0;Ministère de la Santé - Burkina Faso;;, 711;23/07/2021;BFA;Burkina Faso;16;Plateau-Central;218;0;773;0;252;0;0;0;0;Ministère de la Santé - Burkina Faso;;).

Identifier / Metadata — esa_source (HDX), esa_processed (2026-04-04).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-burkina-faso-coronavirus-covid-19-subnational-vaccination-data")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

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Schema

Column	Type	Null %	Range / Sample Values
id_date_iso_3_pays_id_pays_region_id_region_nouveaux_individus_vaccines_1_dose_total_individus_vaccines_1_dose_nouveaux_agents_sante_vaccines_1_dose_total_agents_sante_vaccines_1_dose_nouveaux_individus_vaccines_2_doses_total_individus_vaccines_2_doses_nouveaux_agents_sante_vaccines_2_doses_total_agents_sante_vaccines_2_doses_source	object	0.0%	1;03/06/2021;BFA;Burkina Faso;16;Boucle du Mouhoun;208;0;0;0;0;0;0;0;0;Ministère de la Santé - Burkina Faso;;, 725;24/07/2021;BFA;Burkina Faso;16;Plateau-Central;218;0;773;0;252;0;0;0;0;Ministère de la Santé - Burkina Faso;;, 711;23/07/2021;BFA;Burkina Faso;16;Plateau-Central;218;0;773;0;252;0;0;0;0;Ministère de la Santé - Burkina Faso;;
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-04-04

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Numeric Summary

Column	Min	Max	Mean	Median
No numeric columns.

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Curation

Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (N/A, null, none, -, unknown, no data, #N/A) were unified to NaN. The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.

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Limitations

• Data originates from HERA - Humanitarian Emergency Response Africa and has not been independently validated by ESA.
• Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

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Citation

@dataset{hdx_africa_burkina_faso_coronavirus_covid_19_subnational_vaccination_data,
  title     = {Burkina Faso: Coronavirus (Covid-19) Subnational Vaccination data},
  author    = {HERA - Humanitarian Emergency Response Africa},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/burkina-faso-coronavirus-covid-19-subnational-vaccination-data},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

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Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.