Dr Xiaomin Zhong
BSc, MSc, PhD
Health Data Epidemiologist
Xiaomin (Billy) Zhong is a dedicated health data scientist and epidemiologist with a robust academic foundation and a demonstrated history of applied research. He joined the Applied Health Research Unit (AHRU) in BDI as a Health Data Epidemiologist in 2023 after completing a PhD in Health Informatics and an MSc in Health Data Science from the University of Manchester, complemented by a BSc from Peking University, China.
His doctoral research delved into the antibiotic treatment pathways for common infections in English primary care and the identification of predictors for adverse outcomes amidst the COVID-19 pandemic, leveraging the OpenSAFELY platform. During his PhD from 2021 to 2023, Xiaomin spearheaded significant studies on antibiotic prescription trends, publishing six peer-reviewed papers. His collaborative efforts with the OpenSAFELY team from the Bennett Institute for Applied Data Science at Oxford University entailed the meticulous analysis of over 24 million patient-level electronic health records using advanced data analysis tools and statistical models.
Xiaomin's commitment to healthcare innovation continued into 2023 with a critical investigation into non-COVID-related sepsis during the pandemic. This research, in partnership with the UK Health Security Agency, aims to illuminate clinical and health inequality risk factors under the "Core20PLUS5" approach, enhancing the collective understanding of sepsis in unprecedented times.
The impact of the COVID-19 pandemic on the treatment of common infections in primary care and the change to antibiotic prescribing in England.
Yang Y-T. et al, (2023), Antimicrob Resist Infect Control, 12
Knowledge support for optimising antibiotic prescribing for common infections in general practices: evaluation of the effectiveness of periodic feedback, decision support during consultations and peer comparisons in a cluster randomised trial (BRIT2) - study protocol.
van Staa T. et al, (2023), BMJ Open, 13
Repeated antibiotic exposure and risk of hospitalisation and death following COVID-19 infection (OpenSAFELY): a matched case-control study.
Yang Y-T. et al, (2023), EClinicalMedicine, 61
The impact of COVID-19 on antibiotic prescribing in primary care in England: Evaluation and risk prediction of appropriateness of type and repeat prescribing.
Zhong X. et al, (2023), J Infect, 87, 1 - 11
Impact of COVID-19 on broad-spectrum antibiotic prescribing for common infections in primary care in England: a time-series analyses using OpenSAFELY and effects of predictors including deprivation.
Zhong X. et al, (2023), Lancet Reg Health Eur, 30