Minisymposium Presentation

Climate change is a major problem in the world. Changes brought about by the Industrial Revolution resulted in an overall increase in global average temperatures, and air quality due to increased greenhouse gas emissions. These changes have directly and indirectly been linked to health. To clearly see the impact that climate change is having on health, we need to combine health and environment data. Health data exists in a variety of formats, including ambulatory data, prescription data, hospital admissions, and environmental data equally exists in several formats, including near real time satellite data, direct measurements of key climate variables from networks of weather stations, and more. Data journey modelling predicts places of high cost and risk when existing data needs to move to a new development, investigating the movement of data between key stakeholders including storage databases, individuals and more. Integrating health and environment data is crucial for multiple climate impact studies, but data format, access, and use in both fields' present different challenges. This study makes use of the data journey modelling technique to highlight the challenges and overall cost and risk. We display the data journey of integrated health and environment data instances.