About
Anna Axmon is an Associate Professor and Statistician at Lund University's Division of Occupational and Environmental Medicine, Faculty of Medicine. She serves as an EPI@BIO Statistician and Research Data Office Expert, with extensive experience in epidemiological research and statistical analysis.
- Division of Occupational and Environmental Medicine, Lund University
- EPI@BIO research group
- Research Data Office
- Lund University Population Research Platform (Manager)
Her research primarily focuses on intellectual disability studies, healthcare utilization patterns, environmental health, and register-based epidemiology. She leads the IDcare project examining health care utilization among people with intellectual disabilities across primary and specialist care settings. Her work investigates schizophrenia prevalence, hospital readmissions, diagnostic patterns, and the impact of the Covid-19 pandemic on this vulnerable population.
Recent publication trends show her deep engagement with longitudinal register studies, particularly examining the healthcare experiences of people with intellectual disabilities compared to the general population. Her research combines epidemiological methods with advanced statistical analysis to uncover health disparities and inform policy interventions.
Dr. Axmon actively contributes to research infrastructure development, managing the Lund University Population Research Platform and co-managing e-infrastructure projects. She has organized numerous workshops on data management, FAIR data principles, register utilization tools, GIS applications in research, and biobanking.
- Principal investigator and researcher on multiple funded projects including IDcare (2021-2026) and IDpreg (Pregnancy in intellectual disability)
- Research on environmental health impacts, including studies on perfluoroalkyl substances and birth outcomes
- Collaborative work with Swedish Council for Working Life and Social Research (Forte)
She plays a significant role in developing research infrastructure and methodology, particularly in register-based epidemiology and data management practices within the Swedish research ecosystem.
