electricsheepafrica/africa-togo-coronavirus-covid-19-city-level

Togo: Coronavirus (Covid-19) City level

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

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Abstract

Covid-19 data at the city level in Togo - Infections (new cases, gender), Deaths, Recoveries

We have been collecting Covid-19 in Africa for a year, if you have any feedback on how you use our data, don't hesitate to contact us at org.hera@gmail.com and share your work !

Each row in this dataset represents time-series observations. Data was last updated on HDX on 2025-05-05. Geographic scope: TGO.

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)	2,657
Columns	3 (0 numeric, 3 categorical, 0 datetime)
Train split	2,125 rows
Test split	531 rows
Geographic scope	TGO
Publisher	HERA - Humanitarian Emergency Response Africa
HDX last updated	2025-05-05

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Variables

Geographic — id_date_iso_3_id_0_name_0_type_0_id_1_name_1_type_1_id_2_name_2_new_infected_new_deceased_new_recovered_infected_women_infected_men_gender_not_specified_source (1;06/03/2020;TGO;3;Togo;Pays;TGO_24;Maritime;Region;TGO_24_17;Golfe;1;0;;1;0;0;Site officiel du gouvernement, 1770;18/02/2021;TGO;3;Togo;Pays;TGO_25;Non spécifié;Region;TGO_25_40;Non spécifié ;0;0;33;0;0;0;Site officiel du gouvernement, 1772;19/02/2021;TGO;3;Togo;Pays;TGO_24;Maritime;Region;TGO_24_25;Lacs;7;0;;4;3;0;Site officiel du gouvernement).

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

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-togo-coronavirus-covid-19-city-level")
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_id_0_name_0_type_0_id_1_name_1_type_1_id_2_name_2_new_infected_new_deceased_new_recovered_infected_women_infected_men_gender_not_specified_source	object	0.0%	1;06/03/2020;TGO;3;Togo;Pays;TGO_24;Maritime;Region;TGO_24_17;Golfe;1;0;;1;0;0;Site officiel du gouvernement, 1770;18/02/2021;TGO;3;Togo;Pays;TGO_25;Non spécifié;Region;TGO_25_40;Non spécifié ;0;0;33;0;0;0;Site officiel du gouvernement, 1772;19/02/2021;TGO;3;Togo;Pays;TGO_24;Maritime;Region;TGO_24_25;Lacs;7;0;;4;3;0;Site officiel du gouvernement
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
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_togo_coronavirus_covid_19_city_level,
  title     = {Togo: Coronavirus (Covid-19) City level},
  author    = {HERA - Humanitarian Emergency Response Africa},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/togo-coronavirus-covid-19-city-level},
  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.