Health outcomes in Escambia and Santa Rosa counties

Assessment of Environmental Pollution and Community Health in Northwest Florida EPA Cooperative Agreement X-97455002. July 1, 2002 to June 30, 2009 Project Director: Dr. K. Ranga Rao

Multivariate analysis of health outcomes at the zip code level in Escambia and Santa Rosa counties

Task Leader: Dr. James Studnicki; Co-Investigator: Dr. Stephen Luther; Center for Health Outcomes Research; Health Sciences Center, University of South Florida (USF). (Supported by a sub-award from UWF to USF).

There is considerable national interest in being able to relate the geographic patterns of environmental hazard exposure to variation in the health status of populations residing in these communities. These spatially defined associations between environmental hazards and population health are referred to as environmental health "tracking" studies. In this project two related sets of analyses were conducted: (1) a preliminary analysis of association between the 1996 National-Scale Air Toxics Assessment (NATA) cancer and non-cancer exposure estimates and selected health status outcome measures (1997-2001) for 67 Florida counties; and (2) an assessment of postal zip code level variation in morbidity and mortality in Escambia and Santa Rosa counties, controlling for the most demographic factors influencing health status.
Report available for down load:
Final Report (PDF): Multivariate analysis of health outcomes at the zip code level in Escambia and Santa Rosa counties.

Integration of health outcomes, air quality, and socio-economic data in Northwest Florida

Task Leaders: Dr. Johan Liebens and Zhiyong Hu

The local incidence of some illnesses is perceived to be elevated by many citizens in Escambia and Santa Rosa Counties. Many assume that this perceived elevated incidence is due to the multitude of environmental pollution issues in the area, especially air pollution. To address this concern of the citizens, PERCH initially carried out a health tracking study that compares mortality and morbidity rates at the zip code level in the two-county area at the zip code with those elsewhere in the state of Florida. To relate the results of this Zip code level health study to air pollution, PERCH evaluated relationships between the health outcomes and the proximity of the Zip codes to air emission sites. This proximity study pointed to possible connections between some specific health outcomes and the location of air emission sites, but was somewhat limited in its potential by the large spatial unit (Zip codes) used in the health tracking study. Therefore, PERCH further assessed the connections between air pollution and health outcomes with two other approaches, air toxics modeling and geostatistical modeling. The purpose of this task is to provide a comparative account of the results of the four studies (health tracking, proximity analysis, air toxics modeling, and geostatistical modeling).

Report available for down load (pdf):Final Report (PDF): Integration of health

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