Science

A dataset analysis will describe prevalence of somatic and psychiatric comorbidity in Long COVID, risk factors for developing Long COVID, and somatic and psychiatric complications of Long COVID based on an analysis of CPRD and HES data. This work is done by Prof. Christina van der Feltz-Cornelis and Dr. Han-I Wang together with UCL researchers.

Wang, Han-I and Doran, Tim and Crooks, Michael G. and Khunti, Kamlesh and Heightman, Melissa and González-Izquierdo, Arturo and Arfeen, Muhammad Qummer Ul and Loveless, Antony and Banerjee, Amitava and van der Feltz-Cornelis, Christina M., Prevalence, Risk Factors and Characterisation of Individuals with Long COVID Using Electronic Health Records in Over 1.5 Million COVID Cases in England. Available at SSRN: https://ssrn.com/abstract=4515876 or http://dx.doi.org/10.2139/ssrn.4515876.

Woman stood next to a poster

Han-I Wang presented CPRD database work on Long COVID of the University of York in collaboration with the STIMULATE consortium at the ISPOR conference in Denmark last November. Her research presentation, Prevalence, Risk Factors, and Characterization of Individuals with Long COVID Using Electronic Health Records in Over 1.5 Million COVID Cases in England, authors: Han-I Wang, Tim Doran, Michael G Crooks, Kamlesh Khunti, Melissa Heightman, Arturo Gonzalez Izquierdo, Muhammed Qummer Ul Arfeen, Antony Loveless, Amitava Banerjee, and Christina van der Feltz-Cornelis has been named Best Student Poster Research Presentation for ISPOR Europe 2023! This achievement is truly a testament to Han-I Wang's hard work. All winners are shown on the ISPOR Europe 2023 website and within the December 2023 conference supplement issue of Value in Health.

For publications, please visit the publications web page.