---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: cc-by-4.0
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- tabular-classification
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- central-africa
- covid-19
- disease
- eastern-africa
- epidemics-outbreaks
- fatalities
- health
- dza
- ago
- ben
- bwa
- bfa
pretty_name: "Africa: Coronavirus (Covid-19) Continental cases (Infections, Recoveries and Deaths)"
dataset_info:
  splits:
    - name: train
      num_examples: 47
    - name: test
      num_examples: 11
---

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

**Publisher:** HERA - Humanitarian Emergency Response Africa · **Source:** [HDX](https://data.humdata.org/dataset/covid19_africa_continental_infections-recoveries-deaths) · **License:** `cc-by` · **Updated:** 2025-05-05

---

## 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](https://huggingface.co/electricsheepafrica).*

---

## 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 |

---

## Variables

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

**Other** — `www_hera_ngo_org`.

---

## Quick Start

```python
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()
```

---

## 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 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
_No numeric columns._

---

## 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.

---

## 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](https://data.humdata.org/dataset/covid19_africa_continental_infections-recoveries-deaths) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@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)}
}
```

---

*[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — Africa's ML dataset infrastructure. Lagos, Nigeria.*