Advanced Quantitative Methods
School of Engineering, Computing and Mathematics, Plymouth University
Start date: January 2025
Research topic: Impact of social, economic, and demographic factors in disparity in clinical coding of long COVID in national electronic health records
Previous research suggest that long COVID is under-recorded in Electronic Health Records. I will work with Electronic Health Record data using the OpenSAFELY Trusted Research Environment to investigate how social, economic and demographic factors affect clinical coding of long COVID. By investigating how these factors may affect potential disparity in clinical coding of long COVID, I aim to identify groups of people in which long COVID may be disproportionately under-recorded. In doing this, I hope to improve the use of long COVID codes in these groups which would allow better access to support services for those living with this condition.
Research supervisors: Dr Yinghui Wei, Dr Mariam Pirashvili