[Causal inference in epidemiology]

Area of Science:

• Epidemiology and Public Health
• Causal Inference Methods

Background:

• Tracing the historical evolution of epidemiology is crucial for understanding the development of scientific thought and causality models.
• Epidemiology serves as a cornerstone in public health for investigating disease patterns and determinants.

Observation:

• This work examines the theoretical underpinnings essential for establishing causal relationships.
• It reviews various analytical models and methods employed in epidemiological research.

Findings:

• The study presents practical examples illustrating the application of epidemiological models and methods.
• An analysis of the strengths and limitations of epidemiological approaches to causal identification is provided.

Implications:

• Understanding epidemiological methods enhances the ability to identify disease causes.
• This knowledge supports evidence-based public health interventions and policy development.