README.md

metadata

license: cc-by-4.0
task_categories:
  - tabular-classification
language:
  - en
tags:
  - substandard-falsified-medicines
  - pharmacovigilance
  - adverse-drug-reactions
  - drug-safety
  - VigiFlow
  - synthetic
  - sub-saharan-africa
pretty_name: Pharmacovigilance & Adverse Drug Reactions (SSA)
size_categories:
  - 10K<n<100K
configs:
  - config_name: tertiary_hospital_pv
    data_files: data/pv_tertiary_hospital.csv
    default: true
  - config_name: community_primary_care
    data_files: data/pv_community_primary.csv
  - config_name: mass_treatment_campaign
    data_files: data/pv_mass_treatment.csv

Pharmacovigilance & Adverse Drug Reactions in Sub-Saharan Africa

Abstract

Synthetic dataset modelling ADR occurrence, reporting cascades, PV system capacity, and medication errors across three healthcare settings in SSA. Massive underreporting exists — <10% of ADRs reported in most SSA countries. Inadequate training and deficient reporting culture are key barriers.

Parameterization Evidence

Parameter	Value	Source	Year
ADR reporting patterns in Africa	Reporting	PMC4796322	2016
PV systems for medication error reporting	Systems	PLOS ONE	2022
ADR report completeness; VigiFlow system	Quality	PMC9900287	2023
West African PV: inadequate training, poor culture	Barriers	CJGH	2025

Validation

Usage

from datasets import load_dataset
ds = load_dataset("electricsheepafrica/pharmacovigilance-adr", "tertiary_hospital_pv")

References

1. PMC4796322. ADR reporting in Africa. 2016.
2. PLOS ONE. PV systems for medication errors in Africa. 2022.
3. PMC9900287. ADR report completeness in South Africa. 2023.
4. CJGH. PV systems in West African countries. 2025.

Citation

@dataset{electricsheepafrica_pharmacovigilance_adr_2025,
  title={Pharmacovigilance and Adverse Drug Reactions in Sub-Saharan Africa},
  author={Electric Sheep Africa},
  year={2025},
  publisher={HuggingFace},
  url={https://huggingface.co/datasets/electricsheepafrica/pharmacovigilance-adr}
}

License

CC-BY-4.0