COVID-19 Data for 104 Countries with Geographic, Climate, and Socioeconomic Factors

A dataset of 104 countries constructed from reliable sources, where each row represents a country. It includes geographic, climate, healthcare, economic, and demographic factors hypothesized to influence COVID-19 spread, along with daily case, death, and test counts. The data was compiled by Sami Belkacem for a 2020 arXiv paper and was last updated on March 01, 2021.

Use Cases

• Modeling the relationship between climate factors like temperature and COVID-19 transmission rates.
• Analyzing the correlation between healthcare system capacity (e.g., hospital beds) and reported deaths.
• Investigating the impact of economic factors such as GDP per capita on pandemic outcomes.
• Forecasting case trends based on demographic features like the share of the population over 65.
• Comparing pandemic progression across different continents and geographic regions.

Strengths

• Covers 104 countries across six continents, with 33 from Europe and 28 from Asia.
• Integrates data from multiple cited sources including Our World in Data and the World Bank.
• Includes a monthly update schedule, with a confirmed last update on March 01, 2021.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's temporal coverage ends in early 2021, limiting analysis of later pandemic phases.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.

Provenance

Source

Compiled from Our World in Data, Kaggle, and World Bank sources by researcher Sami Belkacem.

Collection Method

Aggregated from multiple public data sources, with each row representing a country.

Time Range

Up to March 01, 2021.

Freshness

Updated monthly; last update was March 01, 2021.

Geography

Global, covering 104 countries across six continents.