Risk Perceptions Among University Students Using Public Transport

University students using public transport are vulnerable to respiratory infectious diseases affecting academic performance. This dataset from Harvard Dataverse contains survey data evaluating their perceived severity and susceptibility to contracting such diseases. Authored by Mahmoud Salam, the data was last updated on June 18, 2026.

Use Cases

• Modeling perceived disease risk based on public transportation usage patterns mentioned in the description
• Analyzing correlations between risk perception and demographic factors likely present in survey data
• Training classifiers to predict susceptibility to respiratory infections based on behavioral and attitudinal survey responses

Strengths

• Data originates from a specific study evaluating perceived severity and susceptibility, indicating a focused research design.
• Dataset is hosted on Harvard Dataverse, suggesting a degree of institutional vetting.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.

Provenance

Source

Harvard Dataverse

Collection Method

Likely contains survey responses from a study evaluating perceived severity and susceptibility.

Freshness

Last updated 2026-06-18 20:05:41; freshness should be verified.