Webb• The Shaping Places for Wellbeing programme is a delivery partnership between the Improvement Service and Public Health Scotland. The overall aim of this programme is to improve Fraserburgh’s wellbeing by reducing the significant inequalities in health. The Programme Lead will be part of the Shaping Places for Wellbeing WebbReport for Building Better Homes, Towns and Cities Urban Wellbeing: Shaping Places: Future Neighbourhoods, 5pgs. Wellington: BBHTC. Mohammadzadeh, M. (2024). The disruptive mobility and the future of our neighbourhoods. Working Paper 18-03 for Building Better Homes, Towns and Cities Urban Wellbeing: Shaping Places: Future …
Shaping Places for Wellbeing Across Scotland: A Partnership …
WebbThe Shaping Places for Wellbeing Programme is a delivery partnership between the Improvement Service and Public Health Scotland, funded and supported by the Health … Webb28 nov. 2024 · The Shaping Places for Wellbeing Programme will support six Local Project Towns in Alloa, Clydebank, Ayr, Fraserburgh, Rutherglen and Dunoon as well as a network of local partnerships and... smart health evolution
Shaping Places for Wellbeing Community Link Lead
WebbShaping Places for Wellbeing is a 3 year programme, running until March 2024, which is being delivered by Public Health Scotland (PHS) and the Improvement Service (IS) jointly with local authorities and NHS boards. The programme will address the role of the place in improving wellbeing using a set of Place and Wellbeing Outcomes. These are the WebbShaping Places for Healthier Lives. The Health Foundation and Local Government Association launched a new grant programme in 2024 called Shaping Places for … WebbThe Shaping Places for Wellbeing programme will be delivered over three years and is shaped by three interlinked activities. Local support to 4 places across Scotland all experiencing inequalities but with differing contexts. Local learning networks, sharing learning between these 4 places and other learning partners with similar ambitions. smart health disease prediction python django