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Historical Causes of Death Worldwide
Public Health & Epidemiology
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About
Understanding global mortality trends provides critical insights into public health, disease prevalence, and life expectancy. This dataset offers historical records on various causes of death worldwide, allowing researchers, policymakers, and healthcare professionals to analyze disease burdens across different regions and time periods. It helps identify patterns in mortality rates, assess the impact of health interventions, and improve predictive modeling in epidemiology.
Dataset Features
List and describe each column or key feature of the dataset.
- Country/Territory: Name of the country or region.
- Code: Country or territory code.
- Year: The year of recorded deaths.
- Meningitis: Number of deaths due to Meningitis.
- Alzheimer's Disease and Other Dementias: Number of deaths caused by Alzheimer's and related conditions.
- Parkinson's Disease: Deaths attributed to Parkinson's disease.
- Nutritional Deficiencies: Mortality due to inadequate nutrition.
- Malaria: Fatalities resulting from Malaria infections.
- Drowning: Number of deaths by drowning.
- Interpersonal Violence: Deaths caused by violence.
- Maternal Disorders: Mortality due to complications related to pregnancy and childbirth.
- Drug Use Disorders: Deaths linked to drug abuse.
- Tuberculosis: Fatalities caused by tuberculosis.
- Cardiovascular Diseases: Deaths from heart-related conditions.
- Lower Respiratory Infections: Mortality from infections like pneumonia.
- Neonatal Disorders: Deaths caused by complications at birth.
- Alcohol Use Disorders: Mortality due to excessive alcohol consumption.
- Self-harm: Deaths caused by suicide.
- Exposure to Forces of Nature: Deaths due to natural disasters.
- Diarrheal Diseases: Mortality from severe diarrhea-related illnesses.
- Environmental Heat and Cold Exposure: Deaths caused by extreme temperatures.
- Neoplasms: Deaths due to various cancers.
- Conflict and Terrorism: Fatalities linked to wars and attacks.
- Diabetes Mellitus: Deaths caused by diabetes.
- Chronic Kidney Disease: Mortality due to kidney failure.
- Poisonings: Deaths from toxic exposure.
- Protein-Energy Malnutrition: Fatalities due to malnutrition.
- Chronic Respiratory Diseases: Deaths from conditions like COPD.
- Cirrhosis and Other Chronic Liver Diseases: Liver disease-related deaths.
- Digestive Diseases: Deaths caused by digestive disorders.
- Fire, Heat, and Hot Substances: Fatalities caused by burns.
- Acute Hepatitis: Deaths due to severe liver inflammation.
Distribution
- Data Format: CSV / Excel
- Data Volume: Varies based on historical data coverage
- Number of Columns: 32+ (including mortality causes)
- Time Range: Covers multiple years of historical data
Usage
This dataset is ideal for a variety of applications:
- Public Health Analysis: Understanding disease burdens and health risks worldwide.
- Mortality Trend Analysis: Observing how causes of death have changed over time.
- Epidemiological Research: Studying disease outbreaks and mortality correlations.
- Predictive Modeling: Using machine learning to forecast future mortality trends.
- Policy Development: Informing health policies and preventive measures.
Coverage
- Geographic Coverage: Global coverage, including various countries and territories.
- Time Range: Historical data spanning multiple decades.
- Demographics (if applicable): Covers all age groups and both genders.
License
This dataset is provided under the Creative Commons Attribution (CC BY) license. Users must give appropriate credit to Our World in Data when using this dataset.
Who Can Use It
List examples of intended users and their use cases:
- Data Scientists: For predictive modeling and statistical analysis.
- Researchers: To study health patterns and intervention effectiveness.
- Government Agencies & NGOs: For policy formulation and healthcare planning.
- Journalists & Analysts: To report on global mortality trends.
Additional Notes
- The dataset may have missing values for certain years and countries.
- Consider normalizing data for population size to analyze per capita mortality rates.
- Users should verify data sources and methodology before applying findings.
By leveraging this dataset, researchers and analysts can gain valuable insights into global health trends, helping to inform public health initiatives and disease prevention strategies.
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