Mapping complex public-health problems with causal loop diagrams
This paper presents causal-loop diagrams (CLDs) as a tool for studying complex public-health problems like health inequality
A complex-systems lens can help us understand drivers of emerging challenges in work and health
Work is not only central to population health but is also a significant driver of social inequality in health
A practical guide to interdisciplinary work in public health
On the basis of complex-systems science, we suggest actions that public-health funders, institutions, and researchers can take to fully engage in interdisciplinary work
Childhood adversity and use of the health, social, and justice system
This paper indicates that there is a strong association between childhood adversity and the use of welfare-system services
PhD course: Quantitative Bias Analysis for Epidemiological Research
This course covers simple and multidimensional bias analysis methods that can be used to gain a better understanding of the impact of unmeasured confounding, selection bias, and a misclassification of study results
Assistant professor Leonie K. Elsenburg at the 16th Annual INRICH workshop
Invited speaker on childhood adversity and early adult life and mortality at the 16th Annual International Network for Research on Inequalities in Child Health (INRICH) workshop in Liverpool, UK; 10–11 June 2025
