Greenspace Use and COVID-19 Resilience Survey of ~1400 South African Residents

Bopaki Phogole's dataset contains survey and analysis data from approximately 1400 residents across South Africa, collected to study pathways linking greenspace usage to resilience against COVID-19 infection and severity. The data was used to fit structural equation models and includes variables on demographics, perceptions, and health outcomes. It was last updated on 2026-04-26 and is shared under a CC-BY-4.0 license.

Use Cases

• Modeling the relationship between greenspace usage for physical activity and COVID-19 infection rates based on survey responses.
• Analyzing how demographic factors like age and education predict greenspace exposure and perceptions.
• Investigating associations between wealth, comorbidities, and hospitalization outcomes during the pandemic.

Strengths

• Includes data from approximately 1400 survey respondents, providing a substantive sample size.
• Dataset is small (97.4 KB), facilitating quick download and initial exploration.
• Analysis is based on structural equation modeling, suggesting a structured analytical approach.

Limitations

• Row count and column-level documentation are unknown, which limits suitability assessment.
• Data may reflect geographic bias inherent to the South African sample.
• Freshness should be verified as the last update date is in the future (2026-04-26).

Provenance

Source

Bopaki Phogole via figshare

Collection Method

Survey data collected from approximately 1400 residents across South Africa.

Freshness

Last updated 2026-04-26 17:58:57; freshness should be verified.

Geography

South Africa