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Dr David Hodgson

BSc MSci MRes PhD

Research Fellow

LSHTM
Keppel Street
London
WC1E 7HT
United Kingdom

I completed my undergraduate studies in Mathematics at University College London (UCL) in 2013. After completing a Masters in Biophysical Sciences at Durham University, I started research into Mathemtical Biology at the Center of Mathematics and Physics in Life sciences and Experimental Biology (CoMPLEX) at UCL. During my time at CoMPLEX, I worked on various infectious disease modelling projects which led me to pursue a PhD in Mathematical modelling and cost-effectivess of future RSV intervention strategies between 2015-2020. During this time I also worked at Public Health England as a Senior Mathematical Modeller, where I used mathematical models to evaluate the effectiveness of existing Influenza vaccination programmes in England and Wales.

 

I joined The London School of Hygeine and Tropical Medicine as a Research Fellow in 2020.

Affiliations

Faculty of Epidemiology and Population Health
Department of Infectious Disease Epidemiology

Centres

Centre for the Mathematical Modelling of Infectious Diseases (CMMID)

Teaching

I am a tutor on two courses at LSHTM, EPM202: Statistical methods in epidemiology, and EPM302: Modelling and the dynamics of infectious diseases.

Research

My main research uses mathematical and statistical models to better inform vaccination resource allocation against respiratory viruses. My work on RSV evaluates the impact of future vaccine candidates and determines cost-effective ways to roll-out potential vaccination programmes. My work on Influenza has previously explored ways to re-allocate the existing seasonal vaccination programme to generate a greater level of herd immunity. My current research is still focused on Influenza, but I am now looking at host-level Influenza antibody dynamics to try and answer questions such as i) how does influenza immunity influence the severity of disease? and ii) how does influenza immunity affect the effectiveness of vaccination strategies?

From a statistical and mathematical perspective, I’m interested in research into Bayesian parameter estimation though Markov chain Monte Carlo (MCMC) methods. In particular, I like exploring contemporary MCMC algorithms and evaluating which are optimised to solving the types of complex non-linear models that arise in infectious disease modelling.

Research Area
Decision analysis
Economic evaluation
Health care policy
Public health
Statistical methods
Vaccines
Viruses
Bayesian Analysis
Disease control
Immunisation
Modelling
Discipline
Epidemiology
Immunology
Mathematics
Mathematical modelling
Statistics
Virology
Disease and Health Conditions
Infectious disease
Pandemic diseases
Influenza
Respiratory disease
Coronavirus

Selected Publications

Modelling the medium-term dynamics of SARS-CoV-2 transmission in England in the Omicron era.
Barnard RC; Davies NG; Centre for Mathematical Modelling of Infectious Diseases COVID-1; Jit M; Edmunds WJ
2022
Nature Communications
Optimal Respiratory Syncytial Virus intervention programmes using Nirsevimab in England and Wales
Hodgson D; Koltai M; Krauer F; Flasche S; Jit M; Atkins K
2022
medRxiv
Optimal Respiratory Syncytial Virus intervention programmes using Nirsevimab in England and Wales.
Hodgson D; Koltai M; Krauer F; Flasche S; Jit M; Atkins KE
2022
Vaccine
The contribution of hospital-acquired infections to the COVID-19 epidemic in England in the first half of 2020
Knight GM; Pham TM; Stimson J; Funk S; Jafari Y; Pople D; Evans S; Yin M; Brown CS; Bhattacharya A
2022
BMC infectious diseases
Determinants of RSV epidemiology following suppression through pandemic contact restrictions.
Koltai M; Krauer F; Hodgson D; van Leeuwen E; Treskova-Schwarzbach M; Jit M; Flasche S
2022
Epidemics
Estimating RSV seasonality from pandemic disruptions: a modelling study
Krauer F; Fjelde TE; Koltai M; Hodgson D; Treskova-Schwarzbach M; Harvey C; Jit M; Wichmann O; Harder T; Flasche S
2022
medRxiv
The impact of COVID-19 vaccination in prisons in England and Wales: a metapopulation model.
McCarthy CV; O'Mara O; van Leeuwen E; CMMID COVID-19 Working Group; Jit M; Sandmann F
2022
BMC Public Health
Transmission dynamics of SARS-CoV-2 in a strictly-Orthodox Jewish community in the UK.
Waites W; Pearson CAB; Gaskell KM; House T; Pellis L; Johnson M; Gould V; Hunt A; Stone NRH; Kasstan B
2022
Scientific Reports
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