Characterising a Setting with a High Level of Informality, Integrating National and Specialised Surveys, Administrative and Census Data
Autor: | Massimo Napoli, Maria Alessandra Brandimarte, Anna Maria Bargagli, Elisabetta Confaloni, Nera Agabiti, Silvia Iorio, Giovanni Baglio, A Angelozzi, Miriam Errigo, Marina Davoli, Susanna Caminada, Adelaide Landi, LM Salvatori, Enrico Di Rosa, L Paglione, Maurizio Marceca, Laura Cacciani |
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Rok vydání: | 2020 |
Předmět: |
education.field_of_study
State of health urban segregation Population Census urban health social determinants of health social inequalities in health Geography Multidisciplinary approach Urbanization Regional science Social determinants of health education Social identity theory Neighbourhood (mathematics) |
Zdroj: | Urban Health ISBN: 9783030494452 |
Popis: | The history of the urbanization process can determine the social identity of specific places and neighbourhoods. Understanding historical processes behind the physical environment of a city is the first step in an action-research in an urban setting. The characterisation of a neighbourhood, especially in a deprived and segregated urban context, requires a multidisciplinary approach that cannot be separated from a dedicated quantitative analysis, integrating various tools and approaches. In this study’s setting, defined by a high level of informality due to a history of exclusion from the surrounding area and a structural segregation from the city’s fabric, the integration of tools and point of views had to be used to detect and assess the presence of any inequalities in health. We used administrative health data, census information, and a customised version of a national health survey, integrating different baseline populations in order to develop a global vision of the state of health. This research also includes an evaluation of social determinants of health, hospitalisation rates and access to the emergency room, as well as the general self-perception of the population’s health compared to the surrounding neighbourhoods. |
Databáze: | OpenAIRE |
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