electricsheepafrica/africa-gambia-covid19-subnational

Gambia: Coronavirus (Covid-19) Subnational

Publisher: HERA - Humanitarian Emergency Response Africa · Source: HDX · License: cc-by · Updated: 2025-04-09

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Abstract

Subnational data about Covid19 in Gambia - Infections (new cases, gender), Deaths, Recoveries.

Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2025-04-09. Geographic scope: GMB.

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)	1,680
Columns	3 (0 numeric, 3 categorical, 0 datetime)
Train split	1,344 rows
Test split	336 rows
Geographic scope	GMB
Publisher	HERA - Humanitarian Emergency Response Africa
HDX last updated	2025-04-09

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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_source_lien_source (1;16/03/2020;GMB;Gambie;11;Western One;109;1;0;0;1;0;0;Ministry of Health and sanitation;http://www.moh.gov.gm/covid-19-report/, 1104;31/07/2020;GMB;Gambie;11;Non spécifié;116;0;0;0;0;0;0;Ministry of Health and sanitation;http://www.moh.gov.gm/covid-19-report/, 1128;03/08/2020;GMB;Gambie;11;Non spécifié;116;128;2;36;null;null;128;Ministry of Health and sanitation;http://www.moh.gov.gm/covid-19-report/).

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-gambia-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_source_lien_source	object	0.0%	1;16/03/2020;GMB;Gambie;11;Western One;109;1;0;0;1;0;0;Ministry of Health and sanitation;http://www.moh.gov.gm/covid-19-report/, 1104;31/07/2020;GMB;Gambie;11;Non spécifié;116;0;0;0;0;0;0;Ministry of Health and sanitation;http://www.moh.gov.gm/covid-19-report/, 1128;03/08/2020;GMB;Gambie;11;Non spécifié;116;128;2;36;null;null;128;Ministry of Health and sanitation;http://www.moh.gov.gm/covid-19-report/
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_gambia_covid19_subnational,
  title     = {Gambia: Coronavirus (Covid-19) Subnational},
  author    = {HERA - Humanitarian Emergency Response Africa},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/gambia_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.