Biography

Research Fellow in infectious disease modelling,

London School of Hygiene and Tropical Medicine

Hi there 👋! I’m a researcher who uses mathematics and statistics to better understand immune responses to infection and vaccination. I work in the Center of Mathematical modelling of infectious disease (or CMMID).

What tools to model serological data? Check out seroanalytics.org (or github)!

Check out my publications and research outputs.

Education

PhD in Mathematics, 2020
University College London
MRes in Modelling Biological Complexity, 2015
University College London
MSci in Biophysical Sciences, 2014
Durham Univeristy
BSc in Mathematics, 2013
University College London

Interests

Respiratory Infections
Mathematical Immunology
Bayesian Inference
Cost-effectiveness
Open-source software

Projects

Discrete MCMC samplers

I have build some MCMC samples in R to help explore discrete spaces

In-host mechanisms

I have build ODE models to model the relationship between various immune biomarkers

RSV programmes

Modelling and cost-effectiveness of RSV programmes for infants and adults.

Seroanalytics

We have a pool of resources to help you with you serological modelling!

Serological modelling

I use serological data to model the impact of exposure on immune responses

Trans-dimensionsal MCMC samplers

I have build some MCMC samples in R to help explore spaces which may change in size

Influenza programmes

Modelling and cost-effectiveness of influenza programmes for older adults.

External Project

An example of linking directly to an external project website using “external_link”.

Internal Project

An example of using the in-built project page.

Featured Publications

Memory B cell proliferation drives differences in neutralising responses between ChAdOx1 and BNT162b2 SARS-CoV-2 vaccines

David Hodgson, Yi Liu, Louise Carolan, Siddhartha Mahanty, Kanta Subbarao, Sheena G. Sullivan, Annette Fox, Adam Kucharski

July 2024 Preprint

This study compares immune responses between ChAdOx1 (Adenovirus-based) and BNT162b2 (mRNA) COVID-19 vaccines. It finds that mRNA vaccines induce significantly higher memory B cell proliferation and longer-lasting antibody responses than Adenovirus vaccines, especially with extended dosing intervals.

Code Project DOI Full Text

Post-vaccine HAI antibody kinetics are driven by pre-vaccination HAI titre and vaccine history

David Hodgson, Stephany Sánchez-Ovando, Louise Carolan, Yi Liu, A. Jessica Hadiprodjo, Annette Fox, Sheena G. Sullivan, Adam J. Kucharski

January 2024 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