Turning
Statistics
Into
Information

HealthLandscape is dedicated not only to data democratization and data visualization, but also to research related to health, health care and social determinants of health. We are actively researching how our social circumstances affect our health and access to health care, applying geospatial and statistical techniques to help answer questions about disparities in health outcomes, and creating new visualization methods.

A recent article in Health Affairs points to widening health disparities between Appalachia and the remainder of the United States. Singh et al. find that disparities in both life expectancy and infant mortality have increased over the last decade and can be attributed to several...
During the week of August 3rd, 2017, HealthLandscape updated Community HealthView with nineteen datasets from the Appalachian Regional Commission, AIDSVu, and Centers for Medicare and Medicaid (CMS) Administrative Claims Data. The data from the Appalachian Regional Commission included economic data for only those counties in...
During the week of July 10th to the 14th, 2017, HealthLandscape attended the annual Esri User Conference in San Diego. Part of the conference was designated to showcasing attendee’s various cartographic products in a map gallery. HealthLandscape submitted two products to this year’s Map Gallery,...
Today, HealthLandscape is releasing our fifth Geospatial Brief, “Where are Areas in Greatest Need of New HealthCenters? A Spatial Empirical Bayes Approach.” [MT1] Brief #5 uses 2015 data from the UDS Mapper (www.udsmapper.org) to explore areas with high rates and numbers of low-income population that are not...
Our previous geospatial briefs have shown the potential of geospatial hot-spotting methods to identify priority areas of need (e.g., Topmiller, 2016). Geospatial methods can also be integrated with Bayesian approaches to account for spatial variation and variance instability in regards to population. This brief illustrates...
1 5 6 7 8 9 35

Leave a Reply