Identifying pregnancy and childbirth related risk factors and targets for treatments and prevention

Perinatal Epidemiology and Population Health

Perinatal Epidemiology and Population Health investigators at Dunlevie MFM Center access a variety of national and international databases and data science tools for epidemiological and implementation science studies aiming to understand risk factors for pregnancy and childbirth complications and to guide the best practices for improved maternal-fetal health outcomes. This domain works closely with California Maternal Quality Care Collaborative which is a national leader in obstetric quality improvement initiatives. 

What is Population Health?

Population health works to understand the health outcomes of groups of individuals, i.e. a population. The aim of this domain is to identify outcomes that affect not only the lives of mothers and birthing people, but also their childrens' and families. Recognizing and reducing health complications, inequities and disparities faced by people who give birth is key to the health and wellness of families and communities across the United States. 

At the Dunlevie MFM Center, Perinatal Epidemiology and Population Health investigators work in partnership with the renowned and existing epidemiologic infrastructure at Stanford University, including the Maternal & Child Health Research Institute (MCHRI), the Center for Population Health Sciences, the California Maternal Quality Care Collaborative (CMQCC), Stanford Medicine's Office of Community Engagement, and Stanford Medicine's Department of Epidemiology & Population Health

We are recruiting new faculty!

There are true obstacles and health disparities in maternal care that we are tasked to understand and prevent. I'm very excited for the opportunity and confident that our work under the Dunlevie Center will have an impact on the lives of mothers and children.

Director of Perinatal Epidemiology and Population Health

Dunlevie Endowed Professor of Maternal-Fetal Medicine