PULSE (Participatory Urban Living for Sustainable Environments) will leverage diverse data sources and big data analytics to transform public health from a reactive to a predictive system, and from a system focused on surveillance to an inclusive and collaborative system supporting health equity. Working within five global cities, the project will harvest open city data, urban and remote sensor data, health system data, social media data, and data from personal devices, UAVs, augmented objects and satellites to enable evidence-driven and timely management of public health events and processes.
The clinical focus of the project will be respiratory diseases (asthma) and metabolic diseases (Type 2 Diabetes) in adult populations. The project will develop risk stratification models based on modifiable and non-modifiable risk factors in each urban location, taking account of biological, behavioural, social and environmental risk factors. It will also focus on the development of metrics, and data-driven approaches, to community resilience and well-being in cities.