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COVID-19 Country Risk Profile Dataset
Patient Health Records & Digital Health
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About
Offers a cross-country analysis of various health and societal indicators crucial for assessing initial death and infection risk associated with the COVID-19 pandemic. This product integrates data from multiple sources covering epidemiology, underlying causes of death, healthcare system capacity, nutritional trends, and demographic factors. It provides a unique baseline perspective, useful for researchers and analysts interested in understanding vulnerability differences across 180 countries and regions during the early stages of the outbreak.
Columns
The dataset includes 70 columns detailing specific indicators. Key columns include:
- Country_Region: The name of the country or administrative region (e.g., state or province).
- first_1ConfirmedCases: The date when the first confirmed COVID-19 case was reported.
- first_1Fatalities: The date of the first confirmed COVID-19 fatality.
- cases_growth / death_growth: Calculated growth rates for COVID-19 cases and deaths.
- Cardiovascular diseases (%): The percentage burden (DALYs) from cardiovascular diseases in the population.
- Cancers (%): The percentage burden (DALYs) from neoplasms.
- Respiratory diseases (%): The percentage burden (DALYs) from chronic respiratory diseases.
- medical_doctors_per10k: Density of medical doctors per 10,000 inhabitants.
- hospital_beds_per10k: Number of hospital beds available per 10,000 inhabitants.
- school_closure: The date when schools were initially closed as a policy response.
- median age / population: Key demographic statistics for the region.
- obesity - adult prevalence rate: The adult prevalence rate of obesity.
- cereals_-_excluding_beer / meat: Data related to national food consumption patterns.
Distribution
The data is delivered in CSV format (
country_health_indicators_v3.csv). It contains 70 fields and covers 180 unique country or regional entries. While many columns have complete data (100% valid records), certain health system metrics (like hospital density or specific policy dates) may have missing values, ranging up to 37% missing for some indicators.Usage
- Developing epidemiological models to assess the influence of pre-existing health conditions and healthcare infrastructure on disease outcomes.
- Conducting country-level comparative studies on pandemic preparedness and vulnerability factors.
- Analyzing the timelines and potential effectiveness of early governmental interventions, such as school shutdowns, relative to outbreak severity.
- Investigating correlations between national dietary patterns (e.g., consumption of animal products, alcohol, or fruits) and infection/mortality risk.
Coverage
The dataset provides global coverage, including 180 countries and regions. The specific COVID-19 related indicators (cases, fatalities, growth rates) span the period from January 22, 2020, through to the start of April 2020, focusing on the initial pandemic wave. Demographic, health capacity, and disease prevalence indicators reflect baseline data compiled prior to or early in 2020. Demographic scope includes metrics like median age, life expectancy, fertility, and population growth rates.
License
CC BY-NC-SA 4.0
Who Can Use It
- Public Health Researchers: To investigate how chronic disease prevalence influences pandemic mortality rates.
- Data Scientists: For feature engineering and training machine learning models predicting regional disease severity.
- Policy Analysts: To benchmark national health systems and policy responses against global outcomes.
- Academics (Sociology/Nutrition): To study the role of socioeconomic and dietary factors in public health crises.
Dataset Name Suggestions
- Global Pandemic Vulnerability Indicators
- COVID-19 Country Risk Profile Dataset
- Worldwide Health Baseline and Early Pandemic Metrics
- Cross-National Indicators of Infection and Mortality Risk
Attributes
Original Data Source:COVID-19 Country Risk Profile Dataset
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