electricsheepafrica/africa-mali-coronavirus-covid-19-subnational-cases

Mali: Coronavirus(COVID-19) Subnational Cases

Publisher: OCHA Mali · Source: HDX · License: cc-by · Updated: 2026-01-20

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Abstract

This dataset contains the number of confirmed cases, recoveries and deaths by admin level 2 due to the Coronavirus pandemic in Mali.

Each row in this dataset represents time-series observations. Data was last updated on HDX on 2026-01-20. Geographic scope: MLI.

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

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Dataset Characteristics

Domain	Public health
Unit of observation	Time-series observations
Rows (total)	568
Columns	10 (5 numeric, 5 categorical, 0 datetime)
Train split	454 rows
Test split	113 rows
Geographic scope	MLI
Publisher	OCHA Mali
HDX last updated	2026-01-20

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Variables

Temporal — date (16-avr, 18-avr, 27-mai).

Identifier / Metadata — esa_source (HDX), esa_processed (2026-04-05).

Other — région (Bamako, Mopti, Koulikoro), cercle (Bamako, Kati, Mopti), sum_of_cas_confirmés (range 0.0–2708.0), sum_of_décès (range 0.0–125.0), sum_of_cas_guéris (range 0.0–2025.0) and 2 others.

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-mali-coronavirus-covid-19-subnational-cases")
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
date	object	0.0%	16-avr, 18-avr, 27-mai
région	object	0.2%	Bamako, Mopti, Koulikoro
cercle	object	0.2%	Bamako, Kati, Mopti
sum_of_cas_confirmés	float64	1.1%	0.0 – 2708.0 (mean 9.6192)
sum_of_décès	float64	59.0%	0.0 – 125.0 (mean 1.0644)
sum_of_cas_guéris	float64	58.8%	0.0 – 2025.0 (mean 17.2991)
sum_of_cas_suspects	float64	67.4%	0.0 – 7360.0 (mean 79.2757)
sum_of_nombre_contact	float64	70.6%	0.0 – 10782.0 (mean 125.4551)
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-04-05

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Numeric Summary

Column	Min	Max	Mean	Median
sum_of_cas_confirmés	0.0	2708.0	9.6192	2.0
sum_of_décès	0.0	125.0	1.0644	0.0
sum_of_cas_guéris	0.0	2025.0	17.2991	4.0
sum_of_cas_suspects	0.0	7360.0	79.2757	15.0
sum_of_nombre_contact	0.0	10782.0	125.4551	32.0

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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. 3 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). 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 OCHA Mali and has not been independently validated by ESA.
• Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
• The following columns have >20% missing values and should be treated with caution in modelling: sum_of_décès, sum_of_cas_guéris, sum_of_cas_suspects, sum_of_nombre_contact.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

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Citation

@dataset{hdx_africa_mali_coronavirus_covid_19_subnational_cases,
  title     = {Mali: Coronavirus(COVID-19) Subnational Cases},
  author    = {OCHA Mali},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/mali-coronavirus-covid-19-subnational-cases},
  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.