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International COVID-19 Case and Mortality Data
Patient Health Records & Digital Health
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About
A collection of COVID-19 data, focusing on global trends and specific metrics related to various countries. It includes key statistics such as daily case counts, death rates, and vaccination rates over time. The data is sourced from reputable health organisations and provides insights into the progression of the pandemic, enabling in-depth analysis and visualisation of COVID-19's impact.
Columns
- iso_code: ISO 3166-1 alpha-3 – three-letter country codes.
- continent: Continent of the geographical location.
- location: Geographical location.
- date: Date of observation.
- total_cases: Total confirmed cases of COVID-19, potentially including probable cases.
- new_cases: New confirmed cases of COVID-19, potentially including probable cases.
- new_cases_smoothed: New confirmed cases of COVID-19 (7-day smoothed).
- total_deaths: Total deaths attributed to COVID-19, potentially including probable deaths.
- new_deaths: New deaths attributed to COVID-19, potentially including probable deaths.
- new_deaths_smoothed: New deaths attributed to COVID-19 (7-day smoothed).
- total_cases_per_million: Total confirmed cases of COVID-19 per 1,000,000 people.
- new_cases_per_million: New confirmed cases of COVID-19 per 1,000,000 people.
- new_cases_smoothed_per_million: New confirmed cases of COVID-19 (7-day smoothed) 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: New deaths attributed to COVID-19 (7-day smoothed) 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 on a given day 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 on a given day 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.
- total_tests: Total tests for COVID-19.
- new_tests: New 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: New tests for COVID-19 (7-day smoothed).
- new_tests_smoothed_per_thousand: New tests for COVID-19 (7-day smoothed) 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.
- 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.
- total_boosters: Total number of COVID-19 vaccination booster doses administered.
- new_vaccinations: New COVID-19 vaccination doses administered.
- new_vaccinations_smoothed: New COVID-19 vaccination doses administered (7-day smoothed).
- 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.
- total_boosters_per_hundred: Total number of vaccination booster doses administered per 100 people.
- new_vaccinations_smoothed_per_million: New COVID-19 vaccination doses administered (7-day smoothed) per 1,000,000 people.
- new_people_vaccinated_smoothed: New people vaccinated (7-day smoothed).
- new_people_vaccinated_smoothed_per_hundred: New people vaccinated (7-day smoothed) per 100 people.
- stringency_index: Government Response Stringency Index: a composite measure based on 9 response indicators including school closures, workplace closures, and travel bans.
- 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 2017 international dollars).
- extreme_poverty: Share of the population living in extreme poverty.
- cardiovasc_death_rate: Death rate from cardiovascular disease in 2019.
- diabetes_prevalence: Diabetes prevalence (% of population aged 20 to 79) in 2021.
- 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 2021.
- 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.
- population: Population in 2022.
- excess_mortality_cumulative_absolute: Cumulative difference between the reported number of deaths and the projected number of deaths for the same period.
- excess_mortality_cumulative: Cumulative percentage difference between the reported number of deaths and the projected number of deaths for the same period.
- excess_mortality: Percentage difference between the reported number of deaths and the projected number of deaths for the same period.
- excess_mortality_cumulative_per_million: Cumulative difference between the reported number of deaths and the projected number of deaths for the same period, per million people.
Distribution
The dataset is provided as a single CSV file,
covid_data.csv, with a size of 102.89 MB. It contains 429,000 records across 67 columns.Usage
This dataset is ideal for time-series analysis, exploratory data analysis, and creating visualisations to track the progression of the COVID-19 pandemic. It can be used to compare the impact and response to the virus across different countries and continents. The data supports analysis of relationships between health metrics (cases, deaths) and socio-economic factors (GDP, population density).
Coverage
The dataset offers global coverage, including data for 255 unique geographical locations and 6 continents. The time range of the observations spans from 1 January 2020 to 14 August 2024. Note that many columns, particularly those related to testing, vaccinations, and hospitalisations, contain a significant number of missing values.
License
CC0: Public Domain
Who Can Use It
- Researchers and Data Scientists: For conducting in-depth analysis of pandemic dynamics, building predictive models, and studying the effectiveness of public health interventions.
- Public Health Officials: To monitor global trends, compare national statistics, and inform policy decisions.
- Journalists and Analysts: For creating data-driven reports and visualisations to explain the pandemic's impact on a global scale.
Dataset Name Suggestions
- Global COVID-19 Pandemic Tracking Dataset
- Worldwide Coronavirus Statistics 2020-2024
- COVID-19 Country-Level Health and Vaccination Data
- International COVID-19 Case and Mortality Data
Attributes
Original Data Source: International COVID-19 Case and Mortality Data
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