Mark’s research focuses on epidemiological and economic modelling of vaccines to support evidence-based public health decision making. He has published work covering a range of antigens for current and pipeline vaccines including measles, HPV, pneumococcus, rotavirus, influenza, dengue, EV71 and RSV, as well as methodological papers advancing the ways vaccines are evaluated.
I am a mathematical modeller have worked at LSHTM as an Assistant Professor of Infectious Disease Modelling since 2014. My work focuses on using vaccines to controlling antibiotic resistance and understanding the determinants of HIV acquisition.
My focus is on severe outcomes following respiratory virus infections. I also work on vaccination strategies for Ebola virus disease.
As a part of Vaccine Impact Modelling Consortium, I mainly focus on estimating the impact of measles and rotavirus vaccines. In addition, I look at the effects of changing demography and seasonality on the dynamics of these two infectious diseases, and how better to control them.
My research focus is epidemiological and economic modelling of infectious diseases at the interface of infectious disease system dynamics and public health systems research. The research goal is to generate valuable findings that can assist policy makers locally and globally in choosing optimal public health interventions, including optimal vaccine program investments to reduce infectious disease burden effectively, efficiently and equitably.
Mathematical modelling, vaccines, pneumococci
I am an Assistant Professor in Epidemiology in the Faculty of Epidemiology and Public Health (Department of Infectious Disease Epidemiology), London School of Hygiene and Tropical Medicine.
I am involved in the planning of cohort re-enrolment for long term outcomes of Group B Streptococcus (GBS) disease in infancy, specifically neurodevelopmental impairment, as well as other health and socio-economic consequences. Currently I am also investigating statistical methods for data pooling. Such work will contribute to the development of a value proposition for GBS maternal immunization with WHO.
More broadly I am using statistical modelling to inform public health decisions about vaccination and other control measures for infectious diseases.
My research focus is on antibiotic resistance: its evolution and ecology, and how vaccination can be used to control it.
I am part of the Vaccine Impact Modelling Consortium. We use mathematical models to estimate the impact of vaccine investments made by Gavi, the vaccine alliance. At LSHTM, we model the impact on the disease burden of Measles, HPV, Pneumococci, Rotavirus, and Hib, for 98 countries.
I am interested in the effects of demographic changes on infectious disease dynamics as well as the impact of vaccination. Currently my focus is on Rotavirus and on understanding how assumptions around different mechanisms of natural and vaccine induced immunity interact with demographic changes. My supervisors are Mark Jit, Sebastian Funk and Katherine Atkins.
My Phd uses modelling tehcniques to assess the interaction between respiratory viruses, specifically RSV and Influenza. I am developing/testing modelling methods to determine the extent of any cross-protection, with the aim to evaluate the interaction of the viruses and investigate in what ways vaccines may alter the ecology of these viruses.
I am a PhD student in Mathematical Epidemiology at LSHTM interested in the relationship between vaccination and health equity. My research uses infectious disease transmission models to study the interaction between vaccination and inequalities in disease. My particular focus concerns how variation in community level contact networks, segregation, susceptibility and vaccine uptake may influence these dynamics.
I am supervised by Albert-Jan VanHoek and Katie Atkins and my funding comes from the National Institute of Health Research as part of the Health Protection Research Unit in Immunisation.