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JHU Worldwide Coronavirus Fatalities
Patient Health Records & Digital Health
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About
Daily death counts for COVID-19 across countries worldwide, sourced from Johns Hopkins University (JHU). It spans multiple years, offering a view of global mortality trends. The data allows for detailed analysis of patterns, comparisons between different countries, and insights into specific events that may have influenced death rates globally.
Columns
- country: The name of the country or region associated with the data point. There are 201 unique countries or regions represented.
- date: The specific date for which the data point is recorded, typically in MM/DD/YY format. The date range covers from 23 January 2020 to 12 January 2023.
- deaths: The cumulative number of deaths reported up to the specified date for a particular country. Values range from 0 up to 1.10 million.
- daily_deaths: The number of deaths reported specifically on that given day. Daily death counts range from 0 up to 11.4 thousand.
Distribution
The dataset is provided as a data file, typically in CSV format, named
data_global_data.csv with a size of 5.92 MB. It is structured with 4 columns and contains approximately 218,000 records.Usage
This dataset is ideal for applications involving the analysis of global health crises, epidemiological studies, and tracking the impact of public health interventions. It can be used for identifying mortality patterns, conducting cross-country comparisons, and gaining insights into global events affecting death rates.
Coverage
The dataset's geographic scope is worldwide, encompassing daily death counts from numerous countries across the globe. The time range extends over multiple years, specifically from 23 January 2020 to 12 January 2023, providing a detailed daily record of fatalities. Demographic details are not explicitly itemised but represent general population mortality due to COVID-19. Data is available daily for the specified period.
License
Public Domain (CC0)
Who Can Use It
- Researchers and Academics: For epidemiological studies, public health research, and statistical analysis of disease spread and impact.
- Public Health Organisations: To monitor global mortality trends, assess the effectiveness of health policies, and inform future pandemic preparedness.
- Data Analysts and Scientists: For building models, visualising global health data, and extracting actionable insights from large-scale mortality figures.
- Journalists and Policy Makers: For understanding the scale and progression of the pandemic, informing public discourse, and evaluating policy responses.
Dataset Name Suggestions
- Global COVID-19 Daily Mortality
- JHU Worldwide Coronavirus Fatalities
- COVID-19 Global Death Toll (Johns Hopkins)
- Pandemic Mortality Data (JHU)
Attributes
Original Data Source: JHU Worldwide Coronavirus Fatalities
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