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Prof Mark Jit

Professor of Vaccine Epidemiology

United Kingdom

I am professor of vaccine epidemiology, head of the Department of Infectious Disease Epidemiology & Dynamics and co-director for the Global Health Economics Centre at LSHTM. I also hold honorary professorships at the School of Public Health, University of Hong Kong and the Saw Swee Hock School of Public Health, National University of Singapore. I worked for many years at Public Health England (as well as its predecessor the Health Protection Agency), and continue to collaborate with colleagues there.

Affiliations

Department of Infectious Disease Epidemiology and Dynamics
Faculty of Epidemiology and Population Health

Centres

Centre for Mathematical Modelling of Infectious Diseases
Vaccine Centre
Antimicrobial Resistance Centre
Global Health Economics Centre

Teaching

I teach postgraduate and professional courses on vaccinology, modelling and economics of infectious diseases, both at LSHTM and elsewhere. I co-coordinate a module on Health Decision Science at LSHTM, and the Croucher Summer Course on Vaccinology for Public Health and Clinical Practice in the 21st century held in Hong Kong in collaboration with the University of Hong Kong. I also help to coordinate training workshops on modelling and economics of vaccines across Asia.

Students interested in opportunities to conduct epidemiological, economic and/or policy research on vaccines and other infectious disease interventions towards a Masters, PhD or DrPH degree are welcome to get in touch.

My introductory notes on health economic evaluation of infectious disease interventions are available here: https://www.dropbox.com/sh/rm4qoywhl7zy32p/AAAfEH8z--8zqj3ojiQL2KQDa?dl…

Research

My main research focus is investigating the epidemiological and economic impact of vaccines and other infectious disease control interventions to support evidence-based public health decision making. Much of this work uses transmission dynamic models to capture ecological effects of interventions beyond the individual.

I am particularly interested in the use of modelling to inform the interface between technical questions about projecting the impact that vaccines can have, and normative questions about what health and economic goals we should pursue. Examples of such questions include the distribution of the costs and benefits of vaccines across different countries and people around the world, and the value of long-term outcomes such as reducing antimicrobial resistance or eradicating an infection.

I work closely with decision makers such as the World Health Organization, country governments and national immunisation technical advisory groups such as the UK's Joint Committee on Vaccination and Immunisation. In particular, my work has helped inform immunisation policy on a range of vaccines (including COVID-19, measles, HPV, pneumococcal, rotavirus, influenza and dengue vaccines) in both developed and developing countries, in close collaboration with partners based in those countries.

A major focus of my recent work has been understanding the Coronavirus Disease 2019 (COVID-19) pandemic and ways to mitigate it. I am currently co-chair for The Lancet Commission for Strengthening the Use of Epidemiological Modelling of Emerging and Pandemic Infectious Diseases, together with Dr Wanrudee Isaranuwatchai from HITAP, Thailand.

Research Area
Vaccines
Mathematical modelling
Economic evaluation
Disease and Health Conditions
Measles
Human papillomavirus (HPV)
COVID-19
Pneumonia
Diarrhoeal diseases
Dengue
Influenza
Respiratory diseases
Country
United Kingdom
Region
European Union
East Asia & Pacific (all income levels)

Selected Publications

Challenges in ensuring global access to COVID-19 vaccines: production, affordability, allocation, and deployment.
Wouters, OJ; Shadlen, KC; Salcher-Konrad, M; Pollard, AJ; LARSON, HJ; Teerawattananon, Y; JIT, M;
2021
Lancet (London, England)
The impact of non-pharmaceutical interventions on SARS-CoV-2 transmission across 130 countries and territories.
LIU, Y; Morgenstern, C; Kelly, J; LOWE, R; CMMID COVID-19 Working Group,; JIT, M;
2021
BMC Medicine
Effect of internationally imported cases on internal spread of COVID-19: a mathematical modelling study.
RUSSELL, TW; Wu, JT; CLIFFORD, S; EDMUNDS, WJ; KUCHARSKI, AJ; JIT, M; Centre for the Mathematical Modelling of Infectiou,;
2020
LANCET PUBLIC HEALTH
Estimating number of cases and spread of coronavirus disease (COVID-19) using critical care admissions, United Kingdom, February to March 2020.
JIT, M; JOMBART, T; NIGHTINGALE, ES; ENDO, A; ABBOTT, S; LSHTM Centre for Mathematical Modelling of Infecti,; EDMUNDS, WJ;
2020
EUROSURVEILLANCE
Effect and cost-effectiveness of pneumococcal conjugate vaccination: a global modelling analysis.
Chen, C; Cervero Liceras, F; FLASCHE, S; Sidharta, S; Yoong, J; SUNDARAM, N; JIT, M;
2018
LANCET GLOBAL HEALTH
Use of mathematical modelling to assess the impact of vaccines on antibiotic resistance.
ATKINS, KE; LAFFERTY, EI; Deeny, SR; DAVIES, NG; Robotham, JV; JIT, M;
2017
The Lancet infectious diseases
The Long-Term Safety, Public Health Impact, and Cost-Effectiveness of Routine Vaccination with a Recombinant, Live-Attenuated Dengue Vaccine (Dengvaxia): A Model Comparison Study.
FLASCHE, S; JIT, M; Rodríguez-Barraquer, I; Coudeville, L; Recker, M; Koelle, K; Milne, G; Hladish, TJ; Perkins, TA; Cummings, DA T; Dorigatti, I; Laydon, DJ; España, G; Kelso, J; Longini, I; Lourenco, J; PEARSON, CA B; Reiner, RC; Mier-Y-Terán-Romero, L; Vannice, K; Ferguson, N;
2016
PLoS medicine
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