Research groups
Jennifer Hirst
BSc MSc DPhil
Senior Research Fellow
QResearch
I am Senior Researcher working as part of the QResearch team as Senior Researcher and Epidemiologist. I am currently leading a study to determine the uptake, safety and effectiveness of COVID-19 vaccination in people living with blood cancer using the QResearch database.
Prior to this I worked for four years as the research lead on the NewKI study (formerly OxRen) study of chronic kidney disease, and have been involved in a number of diabetes-related projects over the years.
I have expertise in quantitative methods, meta-analysis, managing UK-based and international multicentre clinical studies, clinical epidemiology and qualitative data collection and analysis. I am module coordinator for the Meta-analysis module https://www.conted.ox.ac.uk/courses/meta-analysis, which is part of the University of Oxford's Evidence Based Health Care, Medical Statistics and Systematic Review Masters programmes.
Recent publications
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Correction to: Safety outcomes following COVID-19 vaccination and infection in 5.1 million children in England (Nature Communications, (2024), 15, 1, (3822), 10.1038/s41467-024-47745-z)
Journal article
Copland E. et al, (2024), Nature Communications, 15
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Uptake, effectiveness and safety of COVID-19 vaccines in individuals at clinical risk due to immunosuppressive drug therapy or transplantation procedures: a population-based cohort study in England
Journal article
Chen DTH. et al, (2024), BMC Medicine, 22
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Outcomes for older people with screening detected versus existing chronic kidney disease: Cohort study with data linkage.
Journal article
Forbes AK. et al, (2024), BJGP Open
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Incidence of menstrual symptoms suggestive of possible endometriosis in adolescents: and variance in these by ethnicity and socio-economic status
Journal article
Dixon S. et al, (2024), The British journal of general practice : the journal of the Royal College of General Practitioners, 74
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Safety outcomes following COVID-19 vaccination and infection in 5.1 million children in England
Journal article
Copland E. et al, (2024), Nature communications, 15
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A life-course approach to tackling noncommunicable diseases in women
Journal article
Carcel C. et al, (2024), Nature Medicine, 30, 51 - 60
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What is known about adolescent dysmenorrhoea in (and for) community health settings?
Journal article
Dixon S. et al, (2024), Frontiers in Reproductive Health, 6
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Uptake of COVID-19 vaccination in people with blood cancer: population-level cohort study of 12 million patients in England
Journal article
HIRST J., (2023), European Journal of Cancer
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Uptake, effectiveness and safety of COVID-19 vaccines in the immunocompromised population: A population-based cohort study in England
Preprint
Chen D. et al, (2023)
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PREDICTING INDIVIDUAL RISK OF MUSCLE DISORDERS IN PATIENTS ELIGIBLE FOR STATIN TREATMENT: STRATIFY-STATINMD MODEL DERIVATION USING DATA FROM ELECTRONIC HEALTH RECORDS
Journal article
Cai T. et al, (2022), Journal of hypertension, 40, e76 - e77
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Change in glomerular filtration rate over time in the Oxford Renal Cohort Study: observational study
Journal article
Hirst JA. et al, (2022), The British journal of general practice : the journal of the Royal College of General Practitioners, 72, e261 - e268
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Analysis of uptake, effectiveness and safety of COVID-19 vaccinations in pregnancy using the QResearch® database: research protocol and statistical analysis plan
Preprint
Copland E. et al, (2022)
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Comparative efficacy and safety of the artemisinin derivatives compared to quinine for treating severe malaria in children and adults: A systematic update of literature and network meta-analysis.
Journal article
Nyaaba N. et al, (2022), PLoS One, 17
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PREDICTING INDIVIDUAL RISK OF MUSCLE DISORDERS IN PATIENTS ELIGIBLE FOR STATIN TREATMENT: STRATIFY-STATINMD MODEL DERIVATION USING DATA FROM ELECTRONIC HEALTH RECORDS
Conference paper
Cai T. et al, (2022), JOURNAL OF HYPERTENSION, 40, E76 - E77
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PREDICTING INDIVIDUAL RISK OF MUSCLE DISORDERS IN PATIENTS ELIGIBLE FOR STATIN TREATMENT: STRATIFY-STATINMD MODEL DERIVATION USING DATA FROM ELECTRONIC HEALTH RECORDS
Conference paper
Cai T. et al, (2022), JOURNAL OF HYPERTENSION, 40, E76 - E77