electricsheepafrica/africa-synth-hospital-staff-nigeria

⚠️ Synthetic dataset — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference.

Staff Dataset

Dataset Description

This collection contains hospital staff records including unique identifiers, names, roles (doctor, nurse, nursing_assistant), and assigned services. The data supports analysis of workforce distribution, role allocation, and staffing patterns across hospital departments.

Dataset Structure

Data Instances

[
  {
    "staff_id":"STF-5ca26577",
    "staff_name":"Yetunde Mohammed",
    "role":"doctor",
    "service":"emergency"
  },
  {
    "staff_id":"STF-02ae59ca",
    "staff_name":"Bunmi Okpara",
    "role":"doctor",
    "service":"emergency"
  },
  {
    "staff_id":"STF-d8006e7c",
    "staff_name":"Chika Akande",
    "role":"doctor",
    "service":"emergency"
  }
]

Data Fields

• staff_id (object): Unique identifier for staff member
• staff_name (object): Staff member name (Nigerian names)
• role (object): Staff role (doctor, nurse, nursing_assistant)
• service (object): Hospital service (emergency, surgery, ICU, general_medicine)

Data Splits

• Total records: 110

Dataset Creation

Source Data

This dataset was synthetically generated to simulate real-world hospital operations for a medium-sized Nigerian hospital.

Localization

• Names: All patient and staff names use authentic Nigerian names from Yoruba, Igbo, and Hausa ethnic groups
• Events: Localized to Nigerian context (e.g., malaria peaks, NGO donations)
• Context: Simulates a typical medium-sized hospital in Nigeria

Additional Information

Dataset Curators

Generated for healthcare operations analysis and research.

Licensing Information

This synthetic dataset is provided for research and educational purposes.

Citation Information

@dataset{nigerian_hospital_staff_dataset,
  title={Nigerian Hospital Staff Dataset},
  year={2025}
}