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Serological modelling

imm_dyn

Posts

Unpacking the blurred lines between biology, diagnosis, transmission, and immunity

5 min read Research
Infection Tarot Card

Defining infection is like reading tarot cards - the interpretation depends on who’s asking and what they’re looking for.

You wake up with a sore throat. You take a lateral flow test—negative. The next day, still negative. A PCR comes back “positive”. Meanwhile, your flatmate tested positive on a rapid test but felt fine throughout.

So who was infected? You, your friend, both, or neither?

Publications

In PLOS Comput Biol
A Bayesian tool for inferring infection timing and antibody kinetics from longitudinal serological data, validated with SARS-CoV-2 data from The Gambia.
Code Project DOI Full Text

In Vaccine
This study explores how pre-vaccination HAI titres and vaccination history influence post-vaccine antibody responses in influenza vaccines. It finds that individuals with lower pre-vaccine antibody levels experience a larger and longer-lasting antibody boost after vaccination, while frequent vaccine recipients show a diminished response. The study emphasizes the importance of considering individual pre-vaccine antibody levels and vaccine history when interpreting post-vaccination antibody dynamics.
Code Project DOI Full Text

In PMC
This study measures SARS-CoV-2 seroprevalence among UK healthcare workers following the first COVID-19 pandemic wave and explores risk factors and assay sensitivity.
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