Green-Blue Spaces and Mental Health: A Longitudinal Data Linkage Study by Daniel A Thompson, Mark Nieuwenhuijsen, James White, Rebecca Lovell, Mathew White, Ronan A Lyons, Gareth Stratton, Ashley Akbari, Rebecca Geary, Ben Wheeler, Alan Watkins, Richard Fry, Francis Rowney, Amy Mizen, Sarah E Rodgers

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The ELAStiC (Electronic Longitudinal Alcohol Study in Communities) project by Ashley Akbari, Ronan Lyons, Damon Berridge, John Gallacher, John MacLeod, Jon Heron, Matthew Hickman, Liam Mahedy, Mark Bellis, David Fone, Shantini Paranjothy, Laszlo Trefan, Annette Evans, Frank Dunstan, Karen Tingay, Amrita Bandyopadhyay, Vanessa Gross, Yu-Chiao Wang, Simon Moore

“…Conclusions Our project will aim to provide evidence that informs the UK Government’s commitment to “radically reshape the approach to alcohol and reduce the number of people drinking to excess”, by working with existing longitudinal data collected in the UK to inform policy and practice.…”
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Detecting Care Homes: Using Residential Anonymous Linking Fields to Identify Care Homes in Administrative Data by Joe Hollinghurst, Ashley Akbari, Richard Fry, Sarah Rodgers

“…Methods (including data) Our method uses quantifiable characteristics from longitudinal data to identify potential care homes. This includes the number and age of occupants, current residence and rate of change of occupancy. …”
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Using Residential Anonymous Linking Fields to Identify Vulnerable Populations in Administrative Data by Joe Hollinghurst, Richard Fry, Ashley Akbari, Sarah Rodgers

“…Objectives and Approach Using existing longitudinal data and the Residential Anonymised Linking Field (RALF) we aim to identify institutions linked to vulnerable populations. …”
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Electronic Longitudinal Alcohol Study in Communities (ELAStiC) Wales – protocol for platform development by Laszlo Trefan, Ashley Akbari, Shantini Paranjothy, Daniel Mark Farewell, Andrea Gartner, David Fone, Giles Jeremy Greene, Anette Evans, Ann Smith, Victor Adekanmbi, Jonathan Kennedy, Ronan Anthony Lyons, Simon Moore

“…In excess of 10 years of longitudinal data will help to understand alcohol-related disease and health trajectories across the lifespan.…”
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