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Worldwide COVID-19 Factor Analysis
Patient Health Records & Digital Health
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About
The collection of global COVID-19 statistics focuses on 104 countries, correlating various external factors with reported cases, deaths, and testing rates. Each row represents a country, detailing specific variables related to geography, climate, healthcare infrastructure, economic stability, and demographic structure. This data is structured to help users analyse potential contributing factors that accelerate or slow the spread and impact of the coronavirus, such as the assumption that weak economies (low GDP) or older populations may be at higher risk.
Columns
The dataset contains 15 columns, capturing both static country factors and time-series pandemic statistics. Key columns include:
- Entity/Country: The specific nation the data pertains to.
- Continent: The continent the country is located within.
- Latitude & Longitude: Geographic coordinates for location analysis.
- Average temperature per year: An indicator for climate assumptions.
- Hospital beds per 1000 people: A metric of healthcare capacity.
- Medical doctors per 1000 people: Measures professional medical density.
- GDP/Capita: An indicator of a country's economic strength.
- Population: The overall size of the population.
- Median age: The average age profile of the population.
- Population aged 65 and over (%): Percentage of the population considered older/at higher risk.
- Date: The date of the reported pandemic statistics.
- Daily tests: The number of tests performed daily.
- Cases: The total number of reported cases.
- Deaths: The total number of reported fatalities.
Distribution
This resource is structured as a dataset file, typically provided in an encoded CSV format. The structure includes approximately 38,500 records (rows) of daily data. The core factor data (demographics, economy, geography) is fully valid across all records. Time-series statistics (Daily Tests, Cases, and Deaths) may contain a small percentage of missing values. The overall structure represents 104 unique countries.
Usage
This data is highly suited for analytical projects, particularly those requiring time series analysis and forecasting related to the coronavirus trajectory. It is ideal for conducting Exploratory Data Analysis (EDA) to find patterns and anomalies. Researchers can utilize the dataset to investigate assumptions concerning environmental, demographic, and economic impacts on pandemic outcomes globally.
Coverage
Geographic Scope: Worldwide, featuring 104 countries across all major continents: Europe (33), Asia (28), Africa (21), North America (11), South America (8), and Oceania (3).
Time Range: The statistical data ranges from the beginning of January 2020 through to the end of February 2021.
Update Frequency: The dataset is expected to be updated every month with the latest available COVID-19 statistics. The last documented update was March 01, 2021.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
Intended users include data scientists building predictive models for disease spread, public health officials researching socioeconomic vulnerabilities, academics analysing pandemic response effectiveness, and students performing geographical or time-series comparative analysis.
Dataset Name Suggestions
- Worldwide COVID-19 Factor Analysis
- Global Coronavirus Determinants Statistics
- 104-Country COVID-19 Health and Economic Data
- Pandemic Risk Factors by Country
Attributes
Original Data Source: Worldwide COVID-19 Factor Analysis
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