CoronaNet: Global COVID-19 Public Health Policy Event Data

Original data collection of public health and social measures began on March 28, 2020. Version 1.1 releases data from new questions added over the first year, capturing nuanced policy updates and COVID-19 vaccine rollout details. The dataset is authored by Cindy Cheng of the Technical University of Munich and is available under an Open Access license.

Use Cases

• Analyze the strengthening or relaxation of policies based on the 'update_level_var' field.
• Study international cooperation on pandemic response based on the 'type_new_admin_coop' field.
• Model vaccine distribution logistics based on fields like 'type_vac_loc' and 'type_vac_dist_admin'.
• Assess economic aspects of vaccine policies based on fields like 'type_vac_who_pays' and 'type_vac_cost_num'.

Strengths

• Data collection began on a specific date: March 28, 2020.
• Includes detailed fields for vaccine rollout, such as manufacturing firm and regulatory status.
• Captures nuanced policy dimensions like geographic targets and institutional conditions.

Limitations

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

Provenance

Source

CoronaNetDataScience project, likely via government source documents.

Collection Method

Original data collection via survey, with information documented from source PDFs.

Time Range

From March 28, 2020, onward.

Geography

Global, based on the description of policies from different governments.