Research Collaborations

PHS maintains diverse collaborations around the world to spur interdisciplinary population health research.

Aarhus University and the Danish Registers

Denmark has hundreds of linkable population-based registries and databases available for research. These include administrative, health, and clinical quality databases linkable using civil registration numbers, part of the Danish Civil Registration System established in 1968. Taken together these represent nearly complete population coverage and follow-up, universal healthcare access, and deterministic linkage. An understanding of the state, regional and municipal-levels of the healthcare system is critical to successful research using these data, but the opportunities for working with a dynamic cohort with long-term follow-up are extensive across disciplines.

To date, the Stanford-Aarhus partnership has resulted in deep investigations of dementia, stress disorders and mental health, healthcare utilization and cost blooms, neighborhood level indicators of later outcomes, among others. Several cohorts have been identified as priorities for future research collaboration, including the Danish Labor Force Survey (LFS), the aging population, and pediatric data.

In collaboration with PHS, researchers develop research proposals, and if aligned with the research agenda, work closely with an Aarhus data scientist who manages the data and supports analysis throughout the research process. 

FSRDC

The Stanford Federal Statistical Research Data Center (FSRDC) allows qualified researchers to securely use restricted-access data from the U.S. Census Bureau, the National Center for Health Statistics (NCHS), the Agency for Healthcare Research and Quality (AHRQ), and the Bureau of Labor Statistics. For example, researchers can access detailed geographic indicators that are not publicly available in data such as the National Health Interview Survey (NHIS) and National Health and Nutrition Examination Survey (NHANES).

If you wish to use FSRDC data for a health related project, please contact the PHS Data Core.

INDEPTH Network

INDEPTH is a research network of 53 health and demography surveillance sites in 24 low- and middle-income countries in Africa and Asia. The network maintains ongoing surveillance of large population blocks, ranging from 10,000 to 300,000 people, each of whom are visited at least once a year, a total of 4.5 million people under direct observation for 10 to 40 years. PHS researchers will be partnering with INDEPTH through local universities on a range of projects, from studying the determinants of changes in the microbiome as they relate to health patterns, with a focus on the role of these environmental changes to cancer risks.

Born in Bradford

Born in Bradford is a prospective pregnancy and birth cohort established to examine how genetic, nutritional, environmental, behavioral and social factors affect health and development during childhood, and subsequently adult life, in a deprived multi-ethnic population. It was developed in close consultation with local communities, clinicians and policy makers with commitment from the outset to undertake research that would both inform interventions to improve health in the city and generate robust science relevant to similar communities in the UK and across the world. Between 2007 and 2011 information on a wide range of characteristics were collected from 12,453 women (and 3,356 partners) who experienced 13,778 pregnancies and delivered 13,818 live births.

Solano County Public Health Department

BRIDGES (The Bay Area Research Innovation and Discovery: Governance Evaluation and Sustainability) is a collaboration between county public health departments and their constituents, community clinics and health systems, and academic researchers with the goal of developing infrastructure and processes for scalable health information exchanges (HIEs) and to use these HIEs to address research questions of public health importance. HIEs integrate the electronic medical records from county residents and enhance their interoperability, with visions of incorporating additional individual-level data via surveys and other mechanisms for capturing the social determinants of health. BRIDGES aims to integrate health care information electronically across organizations linked with other rich information in order to create an a data ecosystem to provide actionable information that will improve individual and population health.