COVID-19 Mobility Trends and Statistics Across 133 Countries

Mobility trends and COVID-19 statistics aim to evaluate changes in community activities and their relation to confirmed cases. The dataset covers 133 countries and includes metrics such as mobility for retail, parks, and workplaces, alongside case counts, fatalities, and government stringency indices. Data sources include Microsoft Bing COVID-19 data, Google Community Mobility Reports, and Our World in Data.

Use Cases

• Model the relationship between mobility trends and COVID-19 case growth based on the described mobility categories.
• Analyze the effectiveness of government policies based on the Government Response Stringency Index.
• Study correlations between socioeconomic indicators like GDP per capita and pandemic outcomes.
• Compare vaccination rollout progress against mobility patterns across different countries.

Strengths

• Covers 133 countries, providing a broad geographic scope.
• Integrates multiple data types: mobility trends, case/fatality statistics, government response indices, and socioeconomic indicators.
• References specific, authoritative sources including Microsoft Bing and Google Mobility Reports.

Limitations

• Row count and file size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description contains a contradictory date range (2020/02/15 to 2020/02/05), casting doubt on temporal accuracy.

Provenance

Source

Aggregated from Microsoft Bing COVID-19 Data, Google COVID-19 Community Mobility Reports, and Our World in Data.

Collection Method

Likely compiled from public API feeds and aggregated reports.

Time Range

The description mentions a period from 2020/02/15 to 2020/02/05, which appears contradictory.

Geography

133 countries