- Email: firstname.lastname@example.org
- PhD Title: Transient Models to Assess Transmission and Control of Airborne Infection Risks in a Respiratory Ward
Background: I graduated from the University of Manchester in July 2020 with BSc. (Hons) Mathematics. Throughout my undergraduate degree, I developed a real interest in fluid dynamics and knew I wanted to pursue it further.
Research Interests: I am currently using a combination of mathematical models and airflow simulations to assess the transmission risks of airborne diseases on a UK respiratory ward. With the use of these models, I aim to assess various occupancy, disease and ventilation scenarios, providing concluding mitigation strategies which can reduce the risk of infection in these indoor environments. My broader research interests extend to indoor air quality, mathematical biology and epidemiology, and applications of these to clinical settings.
Airborne transmission is an infection route for many pathogens such as Influenza, TB and more recently COVID-19. Having the ability to accurately quantify the infection risks associated with indoor activities in a variety of settings can help inform epidemiological understanding, and the implementation of effective mitigation strategies. This is particularly important in hospitals where resources are limited and the consequences of infections amongst vulnerable people can be very severe, particularly on respiratory wards. Despite the ubiquity of transient behaviour and conditions, which often govern outbreaks, the majority of models to date consider single-zone environments and steady-state models such as the traditional Wells-Riley model.
The aim of my project is to develop transient multi-zone models that better represent healthcare settings such as an adult respiratory ward. Through the use of mathematical models, numerical modelling and airflow simulations, alongside the consideration of transient effects such as occupancy, weather, ventilation and disease settings, we aim to model the effects this has on the concentration of airborne pathogen, and consequent risk of infection. As the majority of UK hospital wards rely heavily on natural ventilation, there is particular focus on understanding the airflows within indoor environments and more specifically, the inter-zonal flows between spaces as these can vary significantly due to external weather conditions and occupant behaviour e.g. opening windows and doors within buildings. Further work may include the development of a stochastic model, both theoretically and numerically, to better capture the randomness of these outbreaks.
With continued engagement with Leeds Teaching Hospitals NHS Trust, and the development of more realistic models, we hope to develop better models that provide a more accurate representation of the risk of airborne transmissions within hospital environments, which will lead to a better implementation of mitigation strategies, and a more efficient use of already scarce resources.
Why I chose the CDT in Fluid Dynamics: I chose the CDT in Fluid Dynamics because I felt that the integrated master’s year would give me the opportunity to build on my undergraduate knowledge, allowing me to approach my PhD in the best possible way. The CDT also gives the opportunity for interdisciplinary projects, which interests me.