COVID-19 Infection Rates and Policy Impact in England's Upper Tier Local Authorities

England's daily COVID-19 case data across 149 Upper Tier Local Authority areas, converted into infection metrics. The dataset, created by Mike Stedman of the Concord Consortium, includes calculated Average Daily Infection Rates, R-values, and Rates of Change of Infection Rate to analyze lockdown effects up to April 2020. It was used to model unreported community infection and population immunity levels.

Use Cases

• Modeling infection transmission (R-value) based on daily reported cases.
• Analyzing regional variation in infection rates across local authorities.
• Evaluating the impact of lockdown policies on infection rate changes.
• Estimating unreported community infection levels from reported case data.

Strengths

• Covers 149 distinct Upper Tier Local Authority areas in England.
• Includes derived metrics like R-value and Rate of Change of Infection Rate.
• Analysis provides specific figures, such as an R-value falling from 2.8 to 0.8.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Mike Stedman, Concord Consortium

Collection Method

Analysis of daily published COVID-19 cases in England.

Time Range

Covers period up to at least April 19, 2020.

Geography

England, specifically 149 Upper Tier Local Authority areas.