Neblux Knowledge Graph

Epidemiology

Epidemiology examines patterns and determinants of health-related events in populations and uses the findings to inform prevention and control of health problems.

Overview

Observational cohort studies compare outcomes across exposure groups; case-control studies compare earlier exposures in people with and without the outcome. Cross-sectional studies measure exposure and outcome at the same time. Experimental studies assign an exposure or intervention. Each design supports particular comparisons; an observed association still needs a justified causal interpretation.

Why it matters

Population patterns and comparisons help public-health researchers form hypotheses and plan prevention or control measures. Applying findings also requires judgment about local conditions; an association is not itself evidence that a proposed intervention will work.

What it builds on

• Statistical Inference

Where it leads

• Public Health
• Global Health
• Epidemiological Modeling

Related concepts

• CausalityappliedBradford Hill criteria provide epidemiological guidelines for inferring causation from observational associations in disease studies
• Population DynamicsappliedEpidemiological SIR models adapt population dynamics mathematics to predict disease transmission and evaluate control strategies
• Germ Theory of DiseaseconceptualGerm theory provided the biological basis for epidemiological investigation of infectious disease transmission routes and interventions
• MedicinelogicalEpidemiology provides conceptual grounding that helps explain Medicine in this knowledge graph.

Appears in Wonders

• Germs