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Daily Worldwide Monkeypox Case Register
Patient Health Records & Digital Health
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About
This register provides information detailing the emergence and spread of Mpox cases and associated fatalities. It is derived from the Our World in Data project and is structured to facilitate granular analysis of the virus's impact on a global scale. The metrics include daily new reports and cumulative totals, along with 7-day smoothed averages to identify underlying trends in disease transmission.
Columns
- location: The name of the geographic area, which may be a continent or a specific country.
- iso_code: The ISO 3166-1 alpha-3 code corresponding to the location.
- date: The specific date of the observation.
- total_cases: The accumulated number of reported monkeypox cases up to that date.
- total_deaths: The accumulated number of reported deaths attributed to monkeypox up to that date.
- new_cases: The count of newly reported monkeypox cases on the date of observation.
- new_deaths: The count of newly reported deaths due to monkeypox on the date of observation.
- new_cases_smoothed: A 7-day smoothed average of the daily new monkeypox cases reported.
- new_deaths_smoothed: A 7-day smoothed average of the daily new deaths reported due to monkeypox.
- new_cases_per_million: The number of new monkeypox cases reported per million population on the observation date.
- total_cases_per_million: The total number of monkeypox cases reported per million population up to that date.
- new_cases_smoothed_per_million: The 7-day smoothed average of new monkeypox cases reported per million population.
- new_deaths_per_million: The number of new deaths reported due to monkeypox per million population on the observation date.
- total_deaths_per_million: The total number of deaths reported due to monkeypox per million population up to that date.
- new_deaths_smoothed_per_million: The 7-day smoothed average of new deaths reported per million population.
Distribution
The data file is typically provided in a CSV format and contains 33,666 distinct records. The structure includes 15 columns, with each row representing a unique date and location combination. The data quality is high, with no reported missing values across all columns. Updates are expected on an annual basis.
Usage
This dataset is ideal for:
- Epidemiological Modelling: Creating forecasting models for disease spread and future severity.
- Comparative Analysis: Benchmarking disease metrics (cases and deaths) between different countries or continental regions.
- Situational Awareness: Gaining a historical view of the outbreak's peak periods and decline.
- Policy Evaluation: Assessing the impact of public health interventions over time using smoothed data trends.
Coverage
The data provides a global geographic scope, covering statistics for various locations, including countries and continental aggregates. The temporal coverage spans from May 2022 to May 2023, offering daily observations throughout this crucial period of the Mpox outbreak.
License
CC0: Public Domain
Who Can Use It
- Researchers and Academics: For detailed studies on infectious disease transmission and mortality rates.
- Governmental Health Agencies: To track key performance indicators related to the outbreak response.
- Data Journalists: For creating accurate visualisations and reports on global health crises.
- Non-governmental Organisations (NGOs): For resource allocation planning and public awareness campaigns.
Dataset Name Suggestions
- Global Mpox Outbreak Statistics 2022-2023
- Daily Worldwide Monkeypox Case Register
- Mpox Epidemiology Data by Location and Date
- OWID Monkeypox Case and Death Tracking
Attributes
Original Data Source: Daily Worldwide Monkeypox Case Register
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