This LIDA Seminar will be presented via Zoom
Register in advance for this meeting:
Presentation 1: Healthy Choices, Healthy Lives –The Local Food Environment of Holme Wood, Bradford
By: Tom Albone
Abstract: This project is part of the Act Early: Holme Wood initiative funded by UKPRP and the Alan Turing Institute. We aim to use data science to improve collective understanding of place by supporting strengthening of the community and growth by ‘acting together’. Some of the concerns raised by the community were a perceived lack of access to affordable and healthy food within the local area. Healthy Choices, Healthy Lives seeks to understand the barriers to and/or drivers of a healthy lifestyle in one of Bradford’s most deprived areas through combining a range of existing open access and commercial data sources. One of the key questions is why are food outlets that offer a greater potential for healthier choices and community interventions less accessible? Another is how can data science techniques be used to identify these problems and model potential solutions?
There are several strands to the project through which these goals will be achieved:
This project will generate impact through providing new insights and a new tool to support decision making in Holme Wood Bradford. This will also provide a platform to build upon in other geographical areas that require similar support.
By: Paul Truman
Presentation 3: Holme Wood, a mental health ill health epidemic and COVID-19
By: Maike Gatzlaff
Abstract: Mental health issues are prevalent within the Bradford District, with a mental ill health epidemic affecting children and young people (CYP). Mental health support has been identified as a top priority by community stakeholders in the Holme Wood area of the District. These stakeholders report a range of issues including problems with accessibility to support, fragmented and poorly coordinated services, and insufficient resources. Stakeholders suggest the focus is on crisis management rather than early intervention. There is general recognition across the system that tackling these issues will result in better outcomes at the individual and community level, and could potentially offer savings in health, social care and policing costs. Thus, long-term solutions are needed in order to improve mental health support.
This project aims to better understand the impact of the COVID-19 pandemic on mental health referrals in the Bradford District. The goal is to enable evidence-based policymaking and use data science to inform possible interventions that can improve mental health on the Holme Wood estate.
Presentation 4: Children’s Urgent Care Provided in the Right Place Every Time
By: Sam Relins
Abstract: Bradford is home to a hospital-at-home service for children and young people called the Ambulatory Care Experience(ACE) . ACE offers an alternative to hospital referral or admission for children and young people that require urgent care – treating and monitoring patients in their own homes in a “virtual ward”, under the care of a consultant paediatrician.ACE clinicians have long been preoccupied with the characteristics that make a paediatric urgent care patient suitable for treatment at home, and believe that the referral data they collect holds insights that may help answer this question. This project aims to use the ACE referral data, applying classification modelling and data analysis techniques, to predict outcomes of ACE treatment and identify features that increase the risk of a patient being hospitalised.
Presentation 5: Local Data Spaces Project with ONS and ADR UK
By: Simon Leech
Abstract: This project was a joint venture by the Joint Biosecurity Centre (JBC); Office for National Statistics (ONS) and the ESRC’s Administrative Data Research UK (ADR UK) programme. The Local Data Spaces (LDS) project was funded by ADR UK to utilise COVID-19 data hosted within the ONS Secure Research Service (SRS) in response to Local Authority user needs identified by JBC arising from the COVID-19 pandemic.
If you wish to ask the presenters any questions or offer feedback, please email LIDA