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Global COVID-19 Pandemic and Vaccination Data
Patient Health Records & Digital Health
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About
The global effort to combat the COVID-19 pandemic through vaccination. To bring the pandemic to an end, a large share of the world needs to be immune to the virus, and the safest way to achieve this is with a vaccine. This dataset was built to monitor the international challenge of making COVID-19 vaccines available to people in all countries, not just wealthy ones. It contains key metrics related to COVID-19 cases, deaths, testing, hospitalisations, and vaccination efforts worldwide.
Columns
- iso_code: ISO 3166-1 alpha-3 country code.
- continent: The continent of the location.
- location: The geographical location (country or region).
- date: The date of the observation.
- total_cases: Total confirmed cases of COVID-19.
- new_cases: New confirmed cases of COVID-19.
- new_cases_smoothed: 7-day rolling average of new confirmed cases.
- total_deaths: Total deaths attributed to COVID-19.
- new_deaths: New deaths attributed to COVID-19.
- new_deaths_smoothed: 7-day rolling average of new deaths.
- total_cases_per_million: Total confirmed cases per 1,000,000 people.
- new_cases_per_million: New confirmed cases per 1,000,000 people.
- new_cases_smoothed_per_million: 7-day rolling average of new cases per 1,000,000 people.
- total_deaths_per_million: Total deaths attributed to COVID-19 per 1,000,000 people.
- new_deaths_per_million: New deaths attributed to COVID-19 per 1,000,000 people.
- new_deaths_smoothed_per_million: 7-day rolling average of new deaths per 1,000,000 people.
- reproduction_rate: Real-time estimate of the effective reproduction rate (R) of COVID-19.
- icu_patients: Number of COVID-19 patients in intensive care units (ICU) on a given day.
- icu_patients_per_million: Number of COVID-19 patients in ICU per 1,000,000 people.
- hosp_patients: Number of COVID-19 patients in hospital on a given day.
- hosp_patients_per_million: Number of COVID-19 patients in hospital per 1,000,000 people.
- weekly_icu_admissions: Number of new COVID-19 patients admitted to ICU in a given week.
- weekly_icu_admissions_per_million: Number of new COVID-19 patients admitted to ICU in a given week per 1,000,000 people.
- weekly_hosp_admissions: Number of new COVID-19 patients admitted to hospital in a given week.
- weekly_hosp_admissions_per_million: Number of new COVID-19 patients admitted to hospital in a given week per 1,000,000 people.
- new_tests: New tests for COVID-19.
- total_tests: Total tests for COVID-19.
- total_tests_per_thousand: Total tests for COVID-19 per 1,000 people.
- new_tests_per_thousand: New tests for COVID-19 per 1,000 people.
- new_tests_smoothed: 7-day rolling average of new tests.
- new_tests_smoothed_per_thousand: 7-day rolling average of new tests per 1,000 people.
- positive_rate: The share of COVID-19 tests that are positive, given as a rolling 7-day average.
- tests_per_case: Tests conducted per new confirmed case of COVID-19, given as a rolling 7-day average.
- tests_units: Units used by the location to report its testing data.
- total_vaccinations: Total number of COVID-19 vaccination doses administered.
- people_vaccinated: Total number of people who received at least one vaccine dose.
- people_fully_vaccinated: Total number of people who received all doses prescribed by the initial vaccination protocol.
- new_vaccinations: New COVID-19 vaccination doses administered.
- new_vaccinations_smoothed: 7-day rolling average of new vaccination doses administered.
- total_vaccinations_per_hundred: Total number of vaccination doses administered per 100 people.
- people_vaccinated_per_hundred: Total number of people who received at least one vaccine dose per 100 people.
- people_fully_vaccinated_per_hundred: Total number of people who received all doses prescribed by the initial vaccination protocol per 100 people.
- new_vaccinations_smoothed_per_million: 7-day rolling average of new vaccination doses administered per 1,000,000 people.
- stringency_index: Government Response Stringency Index: composite measure based on 9 response indicators including school closures, workplace closures, and travel bans, rescaled to a value from 0 to 100.
- population: Population in 2020.
- population_density: Number of people divided by land area, measured in square kilometres.
- median_age: Median age of the population.
- aged_65_older: Share of the population that is 65 years and older.
- aged_70_older: Share of the population that is 70 years and older.
- gdp_per_capita: Gross domestic product at purchasing power parity (constant 2011 international dollars).
- extreme_poverty: Share of the population living in extreme poverty.
- cardiovasc_death_rate: Death rate from cardiovascular disease in 2017.
- diabetes_prevalence: Diabetes prevalence (% of population aged 20 to 79) in 2017.
- female_smokers: Share of women who smoke.
- male_smokers: Share of men who smoke.
- handwashing_facilities: Share of the population with basic handwashing facilities on premises.
- hospital_beds_per_thousand: Hospital beds per 1,000 people.
- life_expectancy: Life expectancy at birth in 2019.
- human_development_index: A composite index measuring average achievement in three basic dimensions of human development—a long and healthy life, knowledge and a decent standard of living.
Distribution
The dataset is provided in CSV format with a file size of approximately 21.66 MB. It contains 59 columns. The exact number of rows is not specified.
Usage
Ideal applications for this dataset include epidemiological modelling, public health research, policy analysis, and tracking global vaccination progress. It can be used to analyse the effectiveness of various public health interventions, understand the spread of the virus across different regions, and study the socio-economic factors influencing the pandemic's impact.
Coverage
The dataset offers global coverage, including data for 219 unique locations across continents such as Africa and Europe. The time range for the data spans from 1st January 2020 to 23rd April 2021. Note that data availability for certain metrics, such as hospitalisations and testing, may vary significantly between countries and over time.
License
CC0: Public Domain
Who Can Use It
- Public Health Researchers: To study the pandemic's progression and the impact of vaccination campaigns.
- Policymakers and Governments: To inform public health strategies and response efforts.
- Data Scientists and Analysts: For modelling disease spread, vaccination rates, and socio-economic impacts.
- Journalists and the Public: To track and report on the global state of the COVID-19 pandemic.
Dataset Name Suggestions
- Global COVID-19 Pandemic and Vaccination Data
- Our World in Data COVID-19 Statistics
- International COVID-19 Case and Vaccination Tracking
- COVID-19 Pandemic Metrics Dataset
- Worldwide Coronavirus Data Hub
Attributes
Original Data Source: Global COVID-19 Pandemic and Vaccination Data
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