electricsheepafrica/africa-central-african-republic-lshtm-covid-19-projections-9194b9f5

LSHTM COVID-19 Projections | Africa (Central African Republic official open data)

26 rows - 1 Africa country - not-applicable - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Central African Republic as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

• Source: LSHTM COVID-19 Projections
• Publisher: HDX
• Resource: LSHTM_COVID-19_Projections.xlsx
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
CAF	26	n/a	n/a	Central African Republic

Indicators or Resource Contents

• This source file is packaged as a normalized tabular resource.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier for tabular resources.	328b0a78-92dc-4843-bf84-4eb489e7232a:lshtm-covid-19-proj:0
country_iso3	category	ISO3 country code.	CAF
country_name	category	Country name.	Central African Republic
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	LSHTM_COVID-19_proj
country	string	Source column.	#country+name
country_iso	string	Source column.	#country+code
total_cases_min	float64	Source column.	``
total_cases_max	float64	Source column.	``
total_deaths_min	float64	Source column.	``
total_deaths_max	float64	Source column.	``
source_period_start_year	Int64	First year inferred from source resource metadata.	``
source_period_end_year	Int64	Last year inferred from source resource metadata.	``
source_period_label	string	Human-readable period inferred from source resource metadata.	``
source_provider	category	Publishing organization.	HDX
source_dataset	category	Source package title.	LSHTM COVID-19 Projections
source_resource	category	Source resource title.	LSHTM_COVID-19_Projections.xlsx
source_package_id	category	CKAN package UUID.	1da5851d-4300-44eb-b285-5bb4339168ba
source_resource_id	category	CKAN resource UUID.	328b0a78-92dc-4843-bf84-4eb489e7232a
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/1da5851d-4300-44eb-b285-5bb4339168ba/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-14T23:28:30Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-central-african-republic-lshtm-covid-19-projections-9194b9f5")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "CAF"]

Work with indicators

if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

@misc{electric_sheep_africa_africa_central_african_republic_lshtm_covid_19_projections_9194b9f5_2026,
  title        = {LSHTM COVID-19 Projections | Africa (Central African Republic official open data)},
  author       = {HDX},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/lshtm-covid-19-projections},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-central-african-republic-lshtm-covid-19-projections-9194b9f5}}
}

License

Released under CC BY 4.0.

Original data (c) HDX. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepafrica

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Provenance: ingested 2026-08-15 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/1da5851d-4300-44eb-b285-5bb4339168ba/resource/328b0a78-92dc-4843-bf84-4eb489e7232a/download/lshtm_covid-19_projections.xlsx