Professor Marian Knight
+44 (0)1865 289727
Fax +44 (0)1865 289701
Public Health England
Honorary Consultant in Public Health
National Institue for Health Research
Chair, Research for Patient Benefit Programme South Central Regional Funding Committee
MA, MBChB, MPH, DPhil, FFPH, FRCPE
Professor of Maternal and Child Population Health
- National Perinatal Epidemiology Unit
- MSC in Global Health Science module 6 lead: Maternal and Child Health
Marian Knight is Professor of Maternal and Child Population Health at the National Perinatal Epidemiology Unit. She trained initially in obstetrics and neonatology, completing a DPhil investigating the pathogenesis of pre-eclampsia, before becoming interested in epidemiology and population health. She therefore undertook specialty training in public health, becoming a Fellow of the Faculty of Public Health in 2006. She is an Honorary Consultant in Public Health with Public Health England. Her work focuses on using national observational studies to address clinical questions concerning rare and severe complications of pregnancy and early life. She also leads the MBRRACE-UK national confidential enquiries into maternal morbidity and mortality. In February 2012, Marian was awarded one of the first NIHR Research Professorships to develop further her work relating to maternal morbidity and care of infants requiring early surgery.
Facilitating participation in clinical trials during pregnancy.
Vousden N. et al, (2023), BMJ, 380
Analysis of uptake, effectiveness and safety of COVID-19 vaccinations in pregnancy using the QResearch® database: research protocol and statistical analysis plan
Copland E. et al, (2022)
Defining vulnerability subgroups among pregnant women using pre-pregnancy information: a latent class analysis.
Molenaar JM. et al, (2022), Eur J Public Health
Anemia and adverse outcomes in pregnancy: subgroup analysis of the CLIP cluster-randomized trial in India
Bone JN. et al, (2022), BMC Pregnancy and Childbirth, 22
Maternal mortality in eight European countries with enhanced surveillance systems: descriptive population based study.
Diguisto C. et al, (2022), BMJ, 379