A dataset for psychometric evaluation of depression, anxiety, and stress among healthcare workers in Ghana during the COVID-19 outbreak, collected by author kissinger Marfoh. The dataset is available under an Open Access (green) license via the paperswithcode platform. The specific scale, number of participants, and date of collection are not detailed in the provided metadata.
Use Cases
- Assessing the prevalence of depression among healthcare workers based on psychometric scale scores.
- Analyzing correlations between stress levels and the COVID-19 outbreak context described in the dataset.
- Modeling psychological distress factors for healthcare professionals in a specific geographic region.
- Comparing anxiety scale outcomes across different demographic or professional groups within the healthcare sector.
Strengths
- Focuses on a specific, high-impact population (healthcare workers) during a defined global event (COVID-19).
- The dataset is associated with a psychometric evaluation framework (Depression, Anxiety, and Stress Scale).
- Available under an Open Access (green) license, facilitating reuse.
Limitations
- Row count and dataset size are unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- kissinger Marfoh via paperswithcode
- Collection Method
- Likely collected via survey or assessment of healthcare workers.
- Time Range
- During the COVID-19 outbreak (specific dates unknown).
- Geography
- Ghana