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Updated: Aug 22, 2026

Real-World M3-BREATHE: Toward Multimodal Mobile Monitoring of Behaviour, Respiration, and Exposures for Treatment and Health Evaluation
Published on: June 5, 2026
The moving target: a geographic index of relative wellbeing
Jochen Albrecht1, Laxmi Ramasubramanian
1Department of Geography, 1151 LeFrak, University of Maryland at College Park, College Park, Maryland 20742, USA. jochen@umd.edu
Abstract:
Geographic Information Systems (GIS) have been widely used by health planners and professionals to map and describe disease occurrence, spread, and exposure. Increasingly, GIS is being used to measure accessibility to health services in order to better manage scarce resources and to ensure equity and accountability. We argue that health planners can use readily available census data to understand the demands and needs of particular population by identifying key indicators that have a direct or indirect impact on individual health and community well-being. We present an Index of Relative Wellbeing, a weighted basket of 10 key variables from the Census that can be used to describe the health status of a particular census area. Health planners can use this index within a GIS to conduct spatial and temporal analyses. Our research demonstrates that the spatial distribution of health inequalities can be carefully documented and be directly used in the policymaking arena.
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The mean is one such measure, calculated by totaling all values in a dataset and dividing by the number of values. For instance, the mean blood pressure reading (120, 130, 140, 150) would be 135. However, the mean can be affected by extreme values or outliers.
The median, another measure,...
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Simply put, the midrange is half of the data set’s range. Similar to the mean, the midrange is sensitive to the extreme values and hence the prospective outliers. However, unlike the mean, the midrange is not sensitive to all the values of the data set that lie in the middle. Thus, it is prone to outliers and...