Spatial differentiation and key determinants of health-related well-being in Tameside and Glossop: geo-visualisation and multi-level spatial modelling

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This proposed study aims to bridge the above identified knowledge gaps by systematically examining the key determinants, and their interrelations, over differential health-related well-being in urban neighbourhoods from a human-environment perspective. The study will greatly benefit from gaining access to different geo-referenced health datasets provided by the collaborative partner and fostering inter-disciplinary research between planning academics and public health practitioners. The proposed study will address two main questions: how can we understand the spatially variated patterns of health related well-being across different neighbourhoods; and how different dimensions of determinants are interrelated and impact on health-related well-being of residents in different neighbourhoods?There are five key research objectives:(1) To develop a conceptual framework that guides our theoretical understanding and empirical modelling of key determinants (under different dimensions) and their interrelations on health-related well-being, both physical and emotional, by adopting a salutogenic approach that focuses on the human-environment perspective. (2) To operationalise multi-variate measures of key health-related well-being determinants by collating, validating and integrating relevant data sources and indicators from different geo-referenced datasets and population/patient surveys.(3) To establish the variegated geographic patterns and temporal change of different chronic diseases and health outcomes across different neighbourhoods and to understand their spatial correlations with the different health-related determinants via GIS mapping and spatial clustering analysis. (4) To apply multi-level spatial modelling framework to establish the interrelations among different dimensions of determinants over different spatial levels and to establish their relative importance in explaining differential health-related well-being of residents in different neighbourhoods.(5) To draw out the evidence-base to inform policy and practice development over the tackling of health inequalities issues and to foster joint working in local authorities and combined authorities to reduce health inequalities in and beyond the case study area.Tameside and Glossop, where our collaborative partner operates, is the case study area. While the case study area consists of neighbourhoods with varied socio-spatial contexts, residents in many neighbourhoods suffer from lower life expectancy and other chronic diseases and live in the country's 10% most deprived neighbourhoods