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Universal Health Security and Mortality Archive
Patient Health Records & Digital Health
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About
Measuring the total human cost of the COVID-19 pandemic requires looking beyond confirmed infection counts to assess excess mortality. These records provide a detailed lens into how global mortality rates shifted during the crisis, capturing both direct fatalities and indirect consequences caused by healthcare disruptions. By comparing observed deaths to historical expectations, the information identifies the true scale of the pandemic’s impact across diverse geographical boundaries and timeframes. This resource incorporates central estimates and uncertainty intervals to provide a thorough perspective on the pandemic's toll on societies worldwide.
Columns
- iso_code: A unique three-letter identifier for the specific country or region, such as those used by Our World in Data.
- location: The name of the geographical territory or continent being recorded.
- date: The specific calendar date of the observation, ranging from early 2020 to early 2024.
- new_cases: The number of newly laboratory-confirmed COVID-19 infections reported on that day.
- new_deaths: The daily count of fatalities attributed specifically to COVID-19.
- new_cases_per_million: The number of daily new infections adjusted for the size of the population.
- new_deaths_per_million: The number of daily new fatalities adjusted for the size of the population.
- population: The total number of residents in the specified location used for per-capita calculations.
Distribution
The information is delivered in a single CSV file titled
new datas_covid.csv with a file size of approximately 6.69 MB. It consists of 127,000 valid records structured across 8 columns, with 100% validity for location and date fields. While core metrics are well-populated, specific columns such as new cases and deaths have approximately 3% missing data. The collection is intended for annual updates to ensure ongoing tracking of historical mortality trends.Usage
This resource is ideal for longitudinal studies on the secondary health effects of the pandemic and for performing comparative analysis between different national health systems. It is well-suited for building statistical models that account for reporting inconsistencies and for creating data visualisations that map the true mortality toll against official government figures. Additionally, health analysts can use the data to identify regions where socio-economic disparities significantly influenced mortality outcomes.
Coverage
The geographic scope includes 87 unique locations across continents such as Asia and Europe. Temporally, the collection spans from 4 January 2020 to 29 February 2024, capturing the various waves of the global crisis. The demographic focus is on entire national populations, with data availability subject to the rigorous statistical methodologies and reporting standards of the original contributors.
License
CC0: Public Domain
Who Can Use It
Public health experts and policymakers can leverage these records to inform evidence-based strategies and build more resilient health systems for the future. Researchers in sociology and economics might utilise the data to study the ripple effects of the pandemic on global mortality and health security. Furthermore, data scientists and students can find this a valuable primary source for practicing epidemiological modelling and uncertainty interval analysis.
Dataset Name Suggestions
- Global COVID-19 Excess Mortality Tracker
- True Pandemic Toll: Historical Mortality Metrics
- The Economist Excess Death Index 2020-2024
- Universal Health Security and Mortality Archive
- Pandemic Impact and Excess Mortality Registry
Attributes
Original Data Source: Universal Health Security and Mortality Archive
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