electricsheepafrica/africa-covid19-africa-continental-infections-recoveries-deaths

Africa: Coronavirus (Covid-19) Continental cases (Infections, Recoveries and Deaths)

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

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Abstract

Daily Covid-19 cases in african countries : daily infections, recoveries and deaths and cumulative cases of infections, recoveries and deaths since the beginning of the pandemic.

Each row in this dataset represents tabular records. Temporal coverage is indicated by the www_hera_ngo_org column(s). Geographic scope: DZA, AGO, BEN, BWA, BFA, BDI, CMR, CAF, and 44 others.

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

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Dataset Characteristics

Domain	Public health
Unit of observation	Tabular records
Rows (total)	59
Columns	4 (0 numeric, 3 categorical, 1 datetime)
Train split	47 rows
Test split	11 rows
Geographic scope	DZA, AGO, BEN, BWA, BFA, BDI, CMR, CAF, and 44 others
Publisher	HERA - Humanitarian Emergency Response Africa
HDX last updated	2025-05-05

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Variables

Identifier / Metadata — unnamed_0 (Country, Madagascar, Mali), esa_source (HDX), esa_processed (2026-04-16).

Other — www_hera_ngo_org.

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-covid19-africa-continental-infections-recoveries-deaths")
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
unnamed_0	object	3.4%	Country, Madagascar, Mali
www_hera_ngo_org	datetime64[ns]	8.5%
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-04-16

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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. 1 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 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.
• This dataset spans 52 countries; geographic and methodological inconsistencies across national boundaries may affect cross-country comparability.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

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Citation

@dataset{hdx_africa_covid19_africa_continental_infections_recoveries_deaths,
  title     = {Africa: Coronavirus (Covid-19) Continental cases (Infections, Recoveries and Deaths)},
  author    = {HERA - Humanitarian Emergency Response Africa},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/covid19_africa_continental_infections-recoveries-deaths},
  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.