The #PopHealthLab develops research activities to inform population-based prevention strategies and guide population health monitoring, with the overarching goal of helping citizens, health stakeholders, and policy makers take data-informed and evidence-based decisions.
Research disciplines are the population health sciences in a life course epidemiology perspective, within a data-informed, evidence-based, and consequential framework. The focus is on the epidemiology of chronic diseases.
The #PopHealthLab has skills for the handling and analyses of complex data from multiple sources, using modern epidemiological and data sciences methods for description (what is) and causal inference (what if) tasks.
The #PopHealthLab research projects are designed along specific features:
Life course epidemiology
- Eco-social epidemiology
- Description – what is
- Causal inference – what if
Evidence-based public health
- Population health monitoring
- Data-informed decisions
- Evidence synthesis
Consequential epidemiology
- Population-level prevention
- Policy evaluation
- Health inequalities