Part I: Key concepts in infectious disease research
An overview of key concepts, introducing some of the challenges in estimating the burden of infectious disease.
March 20, 2025
Peter Kirwan
About
I’m a Research Associate at the MRC Biostatistics Unit in Cambridge. My PhD focussed on applications of multi-state models to estimate infectious disease burden, specifically HIV and COVID-19. My current research involves the development of multi-state "back-calculation" models to estimate HIV incidence and undiagnosed HIV prevalence.
Statistical methods for survival data
This series of blog posts provides an introduction to statistical methods for survival data, with applications for infectious disease modelling and epidemiology. Topics include: classical survival methods, competing risks analysis, and causal inference from observational data.
Part II: Survival analysis
An introduction to survival analysis, time-to-event data, and how we handle censored observations in epidemiological research.
March 27, 2025
Part III: Classical survival methods
Exploring two fundamental approaches to analysing survival data: non-parametric Kaplan-Meier estimation and semi-parametric Cox proportional hazards models.
April 1, 2025
Recent publications
📃 Protection of vaccine boosters and prior infection against mild/asymptomatic and moderate COVID-19 infection in the UK SIREN healthcare worker cohort: October 2023 to March 2024. View article →
📃 Effect of second booster vaccinations and prior infection against SARS-CoV-2 in the UK SIREN healthcare worker cohort. View article →
📃 Re-assessing the late HIV diagnosis surveillance definition in the era of increased and frequent testing. View article →
📃 Trends in COVID-19 hospital outcomes in England before and after vaccine introduction, a cohort study. View article →
For a full list of publications, see my Google Scholar or ORCiD page.
Contact
Feel free to reach out about research collaborations, speaking opportunities, or general enquiries: