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Longitudinal COVID-19 Epidemiology Data
Patient Health Records & Digital Health
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About
Provides key daily metrics tracking the global COVID-19 pandemic, focusing on confirmed cases, total deaths, and ongoing vaccination progress worldwide. The data supports monitoring the spread of the virus and the effectiveness of immunisation efforts aimed at ending the public health crisis. It includes essential contextual statistics, such as population estimates derived from United Nations World Population Prospects. A crucial caveat is noted: confirmed death counts may not perfectly reflect the actual number of deaths caused by COVID-19 due to variations in attribution protocols across countries.
Columns
- iso_code: International standard country code.
- continent: The continent where the location is situated.
- location: The specific country or region.
- date: The daily timestamp of the record.
- population: The total population used for per-capita calculations.
- total_cases: Cumulative number of confirmed cases.
- new_cases: Daily new confirmed cases.
- new_cases_smoothed: Smoothed daily new confirmed cases.
- total_deaths: Cumulative number of confirmed deaths.
- new_deaths: Daily new confirmed deaths.
- new_deaths_smoothed: Smoothed daily new confirmed deaths.
- total_cases_per_million: Total cases calculated per one million people.
- new_cases_per_million: New cases calculated per one million people.
- new_cases_smoothed_per_million: Smoothed new cases calculated per one million people.
- total_deaths_per_million: Total deaths calculated per one million people.
- new_deaths_per_million: New deaths calculated per one million people.
- new_deaths_smoothed_per_million: Smoothed new deaths calculated per one million people.
- reproduction_rate: The estimated reproduction rate (R value).
- icu_patients: Number of ICU patients on a given date.
- icu_patients_per_million: ICU patients per one million people.
- hosp_patients: Number of hospital patients on a given date.
- hosp_patients_per_million: Hospital patients per one million people.
- weekly_icu_admissions: Weekly admissions to ICU.
- weekly_icu_admissions_per_million: Weekly ICU admissions per one million people.
- weekly_hosp_admissions: Weekly admissions to hospital.
- weekly_hosp_admissions_per_million: Weekly hospital admissions per one million people.
- total_tests: Cumulative number of tests performed.
Distribution
The structure is longitudinal, providing daily observations for a wide array of geographical locations. The data is typically supplied in CSV format, facilitating easy analysis. Records start as early as February 2020. Specific total row counts are not available, but the structure is designed to hold daily statistics for multiple metrics across numerous countries.
Usage
Ideal applications include epidemiological modelling and forecasting, evaluating the speed and equity of vaccination programmes, tracking mortality and morbidity trends over time, performing comparative studies of national pandemic responses, and analysing the strain on healthcare capacity, particularly ICU and hospitalisations.
Coverage
The data offers a global geographic scope, covering locations across all continents. The time range spans from the initial detection phase of the virus, starting in February 2020, and extends through ongoing daily updates. Contextual data on population estimates is based on the United Nations World Population Prospects, and income groupings are derived from the World Bank classification, providing valuable demographic segmentation for analysis.
License
CC0: Public Domain
Who Can Use It
- Public Health Researchers: To conduct detailed trend analysis and study health outcomes.
- Policy Makers and Governments: For evidence-based evaluation of current response strategies and planning future health interventions.
- Data Scientists: To build predictive models for cases, hospital demand, and vaccination uptake.
- Academics: For studying the sociological and economic impact of global health crises.
- Journalists: For accurate reporting and visualisation of international pandemic statistics.
Dataset Name Suggestions
- Global COVID-19 Daily Death and Vaccination Tracker
- World Pandemic Metrics Compendium
- Longitudinal COVID-19 Epidemiology Data
- Global Immunisation and Mortality Statistics
Attributes
Original Data Source: Longitudinal COVID-19 Epidemiology Data
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