Datasets:

electricsheepafrica
/

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

annotations_creators:
  - no-annotation
language_creators:
  - found
language:
  - en
license: cc-by-4.0
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - tabular-classification
task_ids: []
tags:
  - africa
  - humanitarian
  - hdx
  - electric-sheep-africa
  - covid-19
  - disease
  - epidemics-outbreaks
  - health
  - hxl
  - vaccination-immunization
  - west-africa
  - bfa
pretty_name: 'Burkina Faso: Coronavirus (Covid-19) Subnational Vaccination data'
dataset_info:
  splits:
    - name: train
      num_examples: 862
    - name: test
      num_examples: 215

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

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

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.

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

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).

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()

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

Numeric Summary

Column	Min	Max	Mean	Median
No numeric columns.

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.

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.

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)}
}

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