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Global Burden of Malaria Mortality
Patient Health Records & Digital Health
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About
Documents the annual number of deaths attributable to malaria globally, accounting for all ages and both sexes. This dataset offers valuable historical insight into the regional burden of this disease across the world over a 30-year period, specifically spanning 1990 to 2019. It is designed for exploratory data analysis, data analytics, and data visualization concerning health conditions and infectious diseases.
Columns
- Region: Identifies the geographical area (such as Afghanistan) associated with the death count. This column contains 228 unique values.
- 1990 through 2019 (30 columns): Represents the recorded annual malaria deaths for the specific region in that corresponding year, allowing for tracking of mortality trends over time.
Distribution
This product contains 31 columns derived from the original CSV file, which totals 24.07 kB. The data structure is highly reliable, documenting 228 regions. All yearly death count entries are confirmed as valid (100%), and the dataset reports zero instances (0%) of missing or mismatched values across the entries.
Usage
This data is ideal for analyzing long-term trends in global health mortality and disease epidemiology. Potential applications include tracking the rise or decline of malaria deaths by region and informing policy regarding disease intervention strategies. It is particularly useful for projects requiring detailed data visualization and statistical analysis of disease impact across different regions.
Coverage
The data provides annual mortality figures spanning from 1990 up to 2019. Geographically, the dataset encompasses 228 distinct regions. The demographic scope covers death counts across all ages and both sexes.
License
CC0: Public Domain
Who Can Use It
- Public Health Experts: For assessing and reporting on the global burden of malaria and related diseases.
- Academics and Researchers: For statistical modelling and epidemiological studies concerning infectious disease mortality.
- Data Journalists: For creating visualizations and narratives that communicate historical trends in global health.
Dataset Name Suggestions
- Regional Malaria Deaths (1990-2019)
- Global Burden of Malaria Mortality
- Malaria deaths by region: 1990 to 2019
Attributes
Original Data Source: Global Burden of Malaria Mortality
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