Daily COVID-19 Incidence in Toronto Neighborhoods During Pandemic Waves

Late 2020 to late 2021 daily COVID 19 incidence data for Toronto neighborhoods, analyzed across the second, third, and fourth pandemic waves. The dataset, created by Kevin Siebels and shared on figshare, likely contains socioeconomic and demographic variables to explore associations with disease transmission. It is a 321.0 KB CSV file last updated in May 2026.

Use Cases

• Modeling associations between COVID-19 incidence and socioeconomic factors like income and education level based on the description.
• Analyzing the unequal impact of pandemic waves and policy interventions on different population groups as described.
• Conducting spatial autoregressive analysis of disease transmission at the neighborhood scale, accounting for population mobility.
• Investigating disparities in occupational exposure risk driven by socioeconomic and demographic determinants mentioned in the study.

Strengths

• Focuses on a specific geography (Toronto) and granular scale (neighborhoods) for detailed spatial analysis.
• Explicitly covers three distinct time periods (the second, third, and fourth COVID-19 waves).
• Licensed under CC-BY-4.0, permitting flexible reuse and redistribution.
• Last update timestamp (2026-05-04 17:35:23) is provided for version tracking.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 321.0 KB file size indicates a relatively small dataset with limited scope.

Provenance

Source

Kevin Siebels, via figshare.

Collection Method

Likely derived from public health records and census data, analyzed using spatial autoregressive models.

Time Range

Late 2020 to late 2021 (covering the 2nd, 3rd, and 4th COVID-19 waves).

Freshness

Last updated 2026-05-04 17:35:23; freshness should be verified.

Geography

Toronto, Canada, at the neighborhood scale.