![]() ![]() 16 Together, a host of novel interventions were implemented that led to greater access to health care and social services. Successful formation of these partnerships between an academic health center and local agencies and government was the first step in engaging the community to improve health. Display of maps of Alachua County spurred collaborative action between the University of Florida (UF) Health Science Center in Gainesville, FL, and city and county governments, local and regional public and private service providers, and community members. We report here on the process and consequences of creating “hot spot” density maps as a means to engage the community of Alachua County, FL, to address health disparities. 10 – 15 However, few articles review the consequences of engaging community members by means of maps. ![]() 9 Numerous authors have cited the potential of maps to characterize neighborhoods and engage individuals. The use of GIS in decision support is now a mature field. Two major changes are detailed: a family resource center built in the neighborhood of greatest need and a mobile clinic staffed by physicians, nurses, physician assistants, health educators, and student and faculty volunteers. Novel public-private partnerships were forged between the local library district, children and family service providers, and university administrators. This data sharing resulted in advocacy efforts to bring resources to the greatest-need neighborhoods in the county. Maps were widely shared with community partners, including local elected officials, law enforcement, educators, child welfare agencies, health care providers, and service organizations. ![]() Maps were produced for Medicaid births, teen births, low birth weight, domestic violence incidents, child maltreatment reports, unexcused school absences, and juvenile justice referrals. The University of Florida Family Data Center created “hot spot” density maps of important health and social indicators to highlight the location of disparities at the neighborhood level. ![]()
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