COVID-19 Health Production Function Data for Six Countries, January–June 2020

Data from the first recorded case to June 30th, 2020 for France, Germany, Italy, the UK, the US, and Indonesia. It contains COVID-19 cumulative and daily case numbers, along with derived metrics like exponential moving averages, marginal products, production elasticities, and Bayesian probabilities for policy targets. The data was created by Dradjad H. Wibowo to support a study on using health production functions to inform physical distancing relaxation policies.

Use Cases

• Modeling the short-run health production function for COVID-19 based on cumulative case time-series data.
• Calculating production elasticities to assess the state of disease transmission mentioned in the description.
• Estimating Bayesian probabilities for meeting policy relaxation targets based on derived elasticity ranges.
• Comparing epidemic trajectories and control policy indicators across six different countries.

Strengths

• Covers six major countries: France, Germany, Italy, the UK, the US, and Indonesia.
• Includes derived analytical metrics like exponential moving averages, marginal products, and production elasticities.
• Data spans from the first official recording date to a specific end date of June 30, 2020.

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

Dradjad H. Wibowo, associated with a research article on COVID-19 control policy.

Collection Method

Likely compiled from official COVID-19 case reporting sources, with subsequent calculation of derived metrics.

Time Range

From the first day of official recording in each country to June 30, 2020.

Geography

France, Germany, Italy, the United Kingdom, the United States, Indonesia