electricsheepafrica/africa-senegal-covid19-subnational

Senegal : Coronavirus (Covid-19) Subnational

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

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Abstract

Subnational data about Covid19 in Senegal- Infections (new cases), Deaths, Recoveries. Please note that the gender data is not available. Thank you for your understanding. For Senegal, the Not specified infected cases represent the confirmed contact cases, their location is not given by the government.

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

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)	6,435
Columns	3 (0 numeric, 3 categorical, 0 datetime)
Train split	5,148 rows
Test split	1,287 rows
Geographic scope	SEN
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_contamines_deces_gueris_contamines_femme_contamines_homme_contamines_genre_non_specifie_nouveaux_individus_vaccines_total_individus_vaccines_1_dose_source (1;28/02/2020;SEN;Sénégal;12;Dakar;117;1;0;0;0;1;0;;;Ministère de la santé, 4287;09/12/2020;SEN;Sénégal;12;Tambacounda;128;;;;;;;;;Ministère de la santé, 4297;10/12/2020;SEN;Sénégal;12;Kolda;123;;;;;;;;;Ministère de la santé).

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-senegal-covid19-subnational")
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_contamines_deces_gueris_contamines_femme_contamines_homme_contamines_genre_non_specifie_nouveaux_individus_vaccines_total_individus_vaccines_1_dose_source	object	0.0%	1;28/02/2020;SEN;Sénégal;12;Dakar;117;1;0;0;0;1;0;;;Ministère de la santé, 4287;09/12/2020;SEN;Sénégal;12;Tambacounda;128;;;;;;;;;Ministère de la santé, 4297;10/12/2020;SEN;Sénégal;12;Kolda;123;;;;;;;;;Ministère de la santé
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_senegal_covid19_subnational,
  title     = {Senegal : Coronavirus (Covid-19) Subnational},
  author    = {HERA - Humanitarian Emergency Response Africa},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/senegal_covid19_subnational},
  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.