electricsheepafrica/africa-rwanda-mpox-subnational-cases-2024

Rwanda - Mpox Subnational Cases

Publisher: HERA - Humanitarian Emergency Response Africa · Source: HDX · License: cc-by · Updated: 2025-04-15

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Abstract

Subnational 2024 Mpox data in Rwanda - Infected (new cases, gender), Suspected cases, Deaths and Recoveries.

Each row in this dataset represents tabular records. Data was last updated on HDX on 2025-04-15. Geographic scope: RWA.

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)	24
Columns	2 (0 numeric, 2 categorical, 0 datetime)
Train split	19 rows
Test split	4 rows
Geographic scope	RWA
Publisher	HERA - Humanitarian Emergency Response Africa
HDX last updated	2025-04-15

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Variables

Identifier / Metadata — esa_source (HDX), esa_processed (2026-04-12).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-rwanda-mpox-subnational-cases-2024")
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
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-04-12

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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. 3 column(s) with >80% missing values were removed: unnamed_0, unnamed_1, unnamed_2. 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_rwanda_mpox_subnational_cases_2024,
  title     = {Rwanda - Mpox Subnational Cases},
  author    = {HERA - Humanitarian Emergency Response Africa},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/rwanda-mpox-subnational-cases-2024},
  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.