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Global Diet and COVID-19 Health Data
Public Health & Epidemiology
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About
This dataset provides a global perspective on the relationship between dietary patterns and COVID-19 outcomes, offering insights into non-pharmaceutical interventions. It combines data on various food supply quantities, nutrition values, population obesity, undernourishment rates, and country-level COVID-19 confirmed cases, deaths, recovered, and active cases. The primary aim is to facilitate research into how healthy eating styles might help in combating the coronavirus pandemic and to identify dietary patterns associated with lower infection rates globally. This resource is invaluable for understanding the broader health context during a pandemic, encouraging proactive health measures through nutrition.
Columns
The dataset, typically in CSV format, includes 32 columns. A sample file,
Fat_Supply_Quantity_Data.csv, illustrates the content:- Country: Geographical location, specifically countries around the world.
- Alcoholic Beverages: Percentage of fat intake derived from alcoholic beverages.
- Animal Products: Percentage of fat intake from animal products.
- Animal fats: Percentage of fat intake from animal fats.
- Aquatic Products, Other: Percentage of fat intake from various aquatic products.
- Cereals - Excluding Beer: Percentage of fat intake from cereals, excluding beer.
- Eggs: Percentage of fat intake from eggs.
- Fish, Seafood: Percentage of fat intake from fish and seafood.
- Fruits - Excluding Wine: Percentage of fat intake from fruits, excluding wine.
- Meat: Percentage of fat intake from meat.
- Miscellaneous: Percentage of fat intake from miscellaneous food items.
- Milk - Excluding Butter: Percentage of fat intake from milk products, excluding butter.
- Offals: Percentage of fat intake from offals.
- Oilcrops: Percentage of fat intake from oilcrops.
- Pulses: Percentage of fat intake from pulses.
- Spices: Percentage of fat intake from spices.
- Starchy Roots: Percentage of fat intake from starchy roots.
- Stimulants: Percentage of fat intake from stimulants.
- Sugar Crops: Percentage of fat intake from sugar crops.
- Sugar & Sweeteners: Percentage of fat intake from sugar and sweeteners.
- Treenuts: Percentage of fat intake from treenuts.
- Vegetal Products: Percentage of fat intake from vegetal products.
- Vegetable Oils: Percentage of fat intake from vegetable oils.
- Vegetables: Percentage of fat intake from vegetables.
- Obesity: The obesity rate, expressed as a percentage.
- Undernourished: The undernourished rate, expressed as a percentage.
- Confirmed: Percentage of confirmed COVID-19 cases relative to the current population.
- Deaths: Percentage of COVID-19 deaths relative to the current population.
- Recovered: Percentage of COVID-19 recovered cases relative to the current population.
- Active: Percentage of active COVID-19 cases relative to the current population.
- Population: The population count for each country.
- Unit (all except Population): The unit of measurement for most data, typically percentage (%).
Distribution
The data files are provided in CSV format. The
Fat_Supply_Quantity_Data.csv file has a size of 42.32 kB and contains 32 columns. While the exact number of rows is not specified, the 'Country' column lists 170 unique values, suggesting approximately 170 records. The dataset is structured to include calculated fat quantity, energy intake (kcal), food supply quantity (kg), and protein for various food categories, all expressed as a percentage of total intake. It also incorporates obesity and undernourished rates (as percentages) for comparison, alongside up-to-date confirmed, death, recovered, and active COVID-19 cases (as percentages of the current population for each country).Usage
This dataset is ideal for:
- Public health research into the impact of diet on health outcomes, particularly in the context of pandemics.
- Epidemiological studies investigating links between nutrition, obesity, undernourishment, and infectious disease rates.
- Policy formulation for public health interventions focusing on diet and lifestyle.
- Nutritional analysis to identify dietary patterns in countries with varying COVID-19 infection rates.
- Data scientists and analysts seeking to model relationships between dietary intake and health statistics.
- Educational purposes for students and researchers in health, nutrition, and data science.
Coverage
The dataset covers countries around the world, providing a global geographical scope. The COVID-19 data included in the current version is from the week of 2nd June 2021. The dataset is noted to be updated weekly, ensuring timely information. It also includes world population obesity and undernourished rates, allowing for demographic analysis related to health vulnerabilities.
License
CC BY-SA 3.0
Who Can Use It
This dataset is intended for a diverse audience, including:
- Public health researchers and officials seeking to understand and combat the pandemic through non-pharmaceutical interventions, particularly diet.
- Nutritionists and dietitians interested in global dietary trends and their health implications.
- Government bodies and policymakers aiming to develop evidence-based health strategies.
- Academics and students in fields such as epidemiology, public health, nutrition, and data science for research and educational projects.
- Individuals who are keen to understand how healthy eating might protect themselves and their loved ones from health crises like COVID-19.
Dataset Name Suggestions
- Global Diet and COVID-19 Health Data
- Nutrition and Pandemic Resilience Dataset
- Worldwide Dietary Patterns & COVID-19 Impact
- Healthy Eating and Global Health Outcomes
- COVID-19 Diet Interventions Research Data
Attributes
Original Data Source: Global Diet and COVID-19 Health Data
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