Global Cardiovascular Diseases Death Rate Prediction

Area of Science:

• Public Health
• Biostatistics
• Environmental Health

Background:

• Cardiovascular diseases (CVD) represent a significant global health burden, being the leading cause of death worldwide.
• Traditional statistical methods struggle with the complexity of multi-regional health data, including extensive dimensionality and cross-correlations.
• Accurate long-term forecasting of CVD mortality is crucial for effective public health interventions.

Purpose of the Study:

• To develop and present a novel bio-system reliability approach for forecasting cardiovascular diseases mortality.
• To determine the probability of extreme cardiovascular diseases death rates at any given time and in any region.
• To address the limitations of traditional statistical methods in handling multi-regional health data.

Main Methods:

• Application of novel statistical methods directly to raw clinical data.
• Utilizing a multicenter, population-based, medical survey data-driven bio-statistical approach.
• Analysis of annual cardiovascular diseases death records from all 195 world countries over a defined period.

Main Results:

• The proposed approach provides a reliable long-term forecast of cardiovascular diseases mortality probability.
• The methodology is particularly suitable for multi-regional environmental and health systems.
• Demonstrated effectiveness in predicting extreme cardiovascular diseases death rate probabilities.

Conclusions:

• The novel bio-system reliability approach offers a significant advancement in forecasting cardiovascular diseases mortality.
• This methodology can be effectively applied to various public health applications using clinical survey data.
• Enables more accurate and region-specific predictions of cardiovascular diseases burden.