About:
This three-day virtual study group was developed and run by V-KEMS on behalf of the RAMP Continuity Network, the follow on to the Royal Society’s Rapid Assistance in Modelling the Pandemic (RAMP) initiative. The study group aimed to bring mathematical scientists and other disciplines together to solve end user defined challenges with the aim of mitigating the impact of COVID-19.
Background
This virtual study group considered challenges associated with an ageing population and its impact on our communities / local services. The older population has been worst hit by the health impacts of the pandemic. The social distancing measures introduced at a societal level led to shielding/isolation, many social activities have yet to restart, whilst Care Homes faced well documented challenges. This VSG considered what we can learn from these documented challenges and how we can design the provision of healthcare services in the future to support an ageing society.
We were delighted to welcome members of the Advanced Mathematical Modelling class from the University of Huddersfield MSc in Industrial Mathematics to this Virtual Study Group.
Aims and Objectives
The aim of this event was to bring those working in mathematical modelling, statistics, operations research, logistics and supply chain management and other disciplines together to solve end user defined challenges. After initial conversations with stakeholders problem definitions were developed. Three problems were explored, outline descriptions are provided below.
Hospital Discharge Challenges
Investigating the link between hospital beds/discharges and the care system (care homes, assisted home living (drop in carers, live in care, occupational health).
Independence in the Home – Rural vs City Dwelling
A higher percentage of mature population live-in rural locations. There are multiple challenges with access services (e.g. transport, facilities, supported care, digital instrastructure), and a high dependence on the ability to drive. Could you build a heat/risk map of Britain – which factors in these effects?
Predicting Demand
This is a broad category and a number of areas being considered. The topic considered during the study group was influenced by stakeholder input.
Workforce - issues such as demand for Carers/Care Home Workers. Considering factors such as illness/isolating/staff retention, as well as future requirements (demographics). Considering effect of testing/mandatory vaccination policy on staff.
Waiting Lists - post pandemic there is an enormous backlog of demand, e.g. hospital procedures /waiting lists – those that are known about and those that are emerging.
This event was delivered virtually as part of a Programme of activity by V-KEMS. Please note that the names and affiliations of registered delegates will be shared with V-KEMS partners/organisers (KTN and the Newton Gateway).