Tour 6: GEO-Maps

Live Demo

Start Hand Grip Strength App

1 Background

Emerging health geography research analyses and visualizes health behaviours and outcomes in relation to urban environmental data and related official statistics to produce “health reports” for specific areas. This can be extended to developments in urban planning, e.g., to identify districts or neighbourhoods for social investments or restrictions.

2 Problem

While, data generated by epidemiological studies typically are analysed without any spatial relationship, we focus on joining data from different domains, such as public statistics and study data. This requires a concept allowing to integrate external data, such as public statistics, but also to join data. The latter needs to consider different temporal and spatial granularities and relationships.

3 Solution

We designed web applications allowing to visualize study data on Leipzig maps to study the distribution over all city districts in Leipzig and to recognize outlier regions. We reuse the captured medical data of the epidemiological study LIFE Adult (10,000 participants). An exemplified application shows the number of participants over different WHO classes for body-mass-index, such as underweight, normal weight, overweight, and heavy weight.

4 Guided Tour

 

Hand Grip FormSpatial DistributionSpatial Distribution Table

 

Guided Tours

The Core Ontology of Phenotypes

Ontology-Based Specification and Import of Content into the Leipzig Health Atlas

LHA Data Portal

Reference Data for new Phenotypes

Toolbox for Genetic Risk Prediction

Individual Next-Cycle Management for Chemotherapies

OposSOM Browser of B-Cell Lymphoma

GEO-Maps

Trial Data / Platform Tour