Datasets
The corpus data card, self-contained: it reads without opening any other page.
Identification
v3.10.7-2026-08-06vocabulary the disease labels are normalised againstThe three limitations to know before using this data
They do not carry the same weight of proof, and their status is marked: COUNTED comes from a database count, READ from a published view, SUPPLIED from the extraction chain without recomputation here.
1. Nearly a third of observations have no countryREAD
15,472 / 49,511 (31 %)
Any geographic aggregation covers the rest. A country missing from this data is not a country without health problems: it is a country whose location could not be extracted. Read from public_api.coverage_reach.
2. Two thirds of observations have no usable dateCOUNTED
34,155 / 49,511 (69 %)
Their period is UNKNOWN, not old. No time series, no before/after comparison, no notion of “recent data” applies to this share. Obtained by difference between two read counts: total observations minus dated observations.
3. No human review, and the author chain is partialSUPPLIED
22.4% of the corpus traces back to an identified author
“Validated” means “passed an automatic check of form and plausibility”, never “verified by an expert”. An assertion can be well-formed, plausible, correctly quoted — and wrong. The 22.4% figure is supplied by the extraction chain and is not recomputed on this page; it is given for what it is.
Citing this corpus
ASKIP (African Sovereign Knowledge Infrastructure Program). E-Shepha Hub. Referential v3.10.7-2026-08-06, aggregates of August 9, 2026. 63,227 validated evidence items of 72,932 extracted. DOI 10.5281/zenodo.21794559. Licence CC BY 4.0. https://askip.e-shepha.com
The referential version and the aggregate date are part of the citation: without them, the reference points to a corpus state nothing allows you to recover.
Deposited on Zenodo under a permanent DOI, and on Hugging Face.