By Ric Gisp Skinner, Omar Ma Khan

The functions of geographic info platforms (GIS) in health and wellbeing are varied and wide. This paintings offers a sampling of the numerous purposes using GIS within the box of well-being. subject matters coated comprise a glance at how GISs are altering the face of melanoma learn.

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Vi) of health processes than conventional approaches, which do not take into account spatial dependencies in the data. Finally, if health outcomes or health care access are mapped for small areas, such as ZIP Codes, census tracts or census block groups, the estimated statistics become unstable as they are based on increasingly smaller populations. When they are displayed on a map, readers may incorrectly infer that existence of a geographic pattern identifying locations for targeted interventions (Bithell, 2000; Kulldorff, 1999).

Repeating the popular adage that “all health care is local” bears a surreal truth. We must study the local characteristics of health care delivery and other geographic factors known to affect health. Understanding these clusters of activity may determine our ability to successfully address health disparities on a macro-level. Geographic Information Systems add value to the more accurate and comprehensive treatment of health disparities. Practical Considerations in Implementing a GIS Model of Health Disparities There are several recommendations we would make to GIS analysts and health geographers exploring a similar spatial model of health disparities: One Size Does Not Fit All.

For example, note a persistent area of elevated ratios straddling across Santa Barbara and San Luis Obispo counties, along the coast, between Los Angeles and San Francisco. While this region was not statistically significant, further investigation might be appropriate in order to determine whether or not it shares relevant health care market or sociodemographic characteristics similar to the other areas of greater access to transplantation. Go Further: Multi-Analytic Methods Are Better. It is important to realize that the smoothed maps do not show the areas with elevated SMR per se, but the locations of centroids for which the surrounding circles of a specified size contained an elevated ratio.

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