Mark Pritchard
Colleges
Mark Pritchard
Mathematical Modeller
Mark is a mathematical modeller in the Drug-Resistant Infections and Disease Dynamics group (DRIaDD). His work combines mathematical models and causal inference methods to explore individual- and population-level effects of antimicrobial treatments and infection-prevention measures. He is working on the PrIMAVeRa project, exploring potential pathways for micro-organisms to develop resistance to monoclonal antibodies.
Before starting this role, Mark completed a DPhil [PhD] on "Using routinely collected data to inform infection-prevention policy decisions", funded by the National Institute for Health Research Health Protection Research Unit in Emerging and Zoonotic Infections. Previous experience includes resident doctor roles in NHS hospitals, and in public health medicine at local authorities and the United Kingdom Health Security Agency.
Mark introduces his DPhil project: Natural immune boosting can cause synchrony in susceptibility and outbreaks of respiratory infections with rapidly waning immunity.
Recent publications
Bayesian Semi-Mechanistic Framework for Modelling Antimicrobial Resistance
Preprint
Srimokla O. et al, (2025)
Characteristics and outcomes of COVID-19 patients admitted to hospital with and without respiratory symptoms
Journal article
Citarella BW. et al, (2024), Heliyon, 10, e29591 - e29591
Natural immune boosting can cause synchrony in susceptibility and outbreaks of respiratory infections with rapidly waning immunity
Preprint
Pritchard MG. et al, (2023)
The burden and dynamics of hospital-acquired SARS-CoV-2 in England
Journal article
Cooper BS. et al, (2023), Nature, 623, 132 - 138