Bringing Micro to the Macro: How Citizen Science Data Enrich Geospatial Visualizations to Advance Health Equity.

Social and spatial contexts affect health, and understanding nuances of context is key to informing successful interventions for health equity. Layering mixed methods and mixed scale data sources to visualize patterns of health outcomes facilitates analysis of both broad trends and person-level experiences across time and space. We used micro-scale citizen scientist-collected data from four Bay Area communities along with aggregate epidemiologic and population-level data sets to illustrate barriers to, and facilitators of, physical activity in low-income aging adults.

What is counted counts: An innovative linkage of police, hospital, and spatial data for transportation injury prevention.

Introduction: Growing research indicates transportation injury surveillance using police collision reporting alone underrepresents injury to vulnerable groups, including pedestrians, cyclists, and people of color. This reflects differing reporting patterns and non-clinicians' challenge in accurately evaluating injury severity. To our knowledge, San Francisco is the first U.

Roadway features associated with elderly drivers in motor vehicle crashes.

Background: As the number of older US drivers has increased over the past decades, so has the number of injuries, hospitalizations, and deaths from motor vehicle crashes (MVCs) involving elderly drivers. We seek to identify personal, environmental, and roadway features associated with increased crashes involving elderly drivers. We hypothesize that elderly drivers are more likely to be involved in MVCs at intersections with more complex signage and traffic flow.