Funded by UK Engineering and Physical Sciences Research Council from 2024 to 2027, led by UCL, and previously funded by the UK Medical Research Council
Our work understanding the role of mobility and interaction within hospital environments began during the COVID-19 pandemic. Working closely with virologists at University College London Hospital (led by Prof Eleni Nastouli), we seek to identify the spatial contexts in which virus transmission occurs, and the role of mobility and interaction in influencing those.
This work builds on novel secondary datasets constructed from traditional sources of information collected in hospitals. We then apply traditional methods of analysing mobility, activity and interaction within the architectural setting to derive explanatory variables influencing infection. These data are supplemented with genomic data to enhance the specificity of our models.
Another aspect to this project relates to predictions of behaviours then increase or reduce interaction and subsequent infection. In this context we are interested in both spatial and behaviour determinants.
People
Dr Keiran Suchak
Dr Nick Gotts
Dr Jared Wilson-Aggarwal
Outputs
- Wilson-Aggarwal, J., Gotts, N., Arnold, K., Spyer, M.J., Houlihan, C., Nastouli, E. and Manley, E., 2022. Assessing the spatial-temporal risks of SARS-CoV-2 infection for healthcare-workers in the hospital using behavioural indices from routine data. PLOS ONE. Link.
- Wilson-Aggarwal, J.K., Gotts, N., Wong, W.K., Liddington, C., Knight, S., Spyer, M.J., Houlihan, C.F., Nastouli, E. and Manley, E., 2022. Investigating healthcare worker mobility and patient contacts within a UK hospital during the COVID-19 pandemic. Communications Medicine, 2(1). Link.
- Houlihan, C.F., Vora, N., Byrne, T., Lewer, D., Kelly, G., Heaney, J., Gandhi, S., Spyer, M.J., Beale, R., Cherepanov, P. and Moore, D., 2020. Pandemic peak SARS-CoV-2 infection and seroconversion rates in London frontline health-care workers. The Lancet, 396(10246), pp.e6-e7.
- Zhuang, M., Concannon, D. and Manley, E., 2022. A framework for evaluating dashboards in healthcare. IEEE Transactions on Visualization and Computer Graphics, 28(4), pp.1715-1731.
MOB.SCI.LAB 