Bridging Epidemiological Data with Features of the Urban Context: An experience of Urban Public Health within the City of Milan, Italy

Abstract Referring to the Research Project “Enhancing Healthcare and Well-Being Through Potential of Big Data: An Integration Survey, Administrative, Open Data Assess Health Risk in City Milan with Science” Authors present preliminary results regarding a survey distributed sample citizens across all neighborhoods Milano city. This sought collect data health risk factors this population, including both individual (e.g. socio-demographic characteristics, behaviors, etc.) community environmental/morphological features, available social services, data. A digital was designed information on conditions, factors, lifestyle characteristics representative Milanese population at neighborhood level, reference census tracts Local Identity Units (NIL). Collected are entered into system containing corresponding acquired from Authority databases, creating synthesized profile each respondent's state health, existing services used, drug therapies. The disseminated developed comparisons similar experiences national/international level divided 60 multiple choice questions (6 for Sociodemographic profile; 8 Context residence; 12 Functional limitations; 25 Behaviors lifestyles; 9 Access services). urban analysis conducted NIL assessed particular theme bicycle-pedestrian accessibility (Walkability) context repercussions adoption Healthy Lifestyles. models through research expected provide critical insight designing promotion, protection, disease prevention interventions aimed level.