Dr Han Fu

Assistant Professor

London School of Hygiene & Tropical Medicine
Keppel Street
London
WC1E 7HT
United Kingdom

Email
Han

I am an infectious disease epidemiologist and modeller currently working with the Vaccine Impact Modelling Consortium and various stakeholders on measles vaccination in low- and middle-income settings. My research projects centre on policy-relevant questions such as the cost-effectiveness of microarray patch vaccines, age targets of campaign vaccination, and immunisation strategies for outbreak response.

Previously, I focused on the epidemiology, vaccination, and control strategies of tuberculosis (TB), both in Taiwan and globally, at Imperial College London. I also participated in COVID-19 response research on estimating infection fatality risk and excess TB burden related to health service disruption during a lockdown.

I am a co-lead of the Modelling and Economic Evaluation of Vaccines (MEEV) research theme at the Centre for Mathematical Modelling of Infectious Diseases.

Affiliations

Department of Infectious Disease Epidemiology and Dynamics

Faculty of Epidemiology and Population Health

Centres

Centre for Mathematical Modelling of Infectious Diseases

Vaccine Centre

Global Health Economics Centre

Teaching

I have been involved in the following modules:

Current year

Basic Epidemiology (practical tutor)
Epidemiology of Infectious Diseases (practical tutor)

Previous years

Epidemiology of Infectious Diseases (module co-organiser, practical tutor)
Modelling and the Dynamics of Infectious Diseases (practical tutor)
Introduction to Infectious Disease Modelling and its Applications - short course (practical tutor)
Modern Techniques in Modelling - short course (practical tutor)
Introduction to R Epidemiology (practical tutor)
Introductory Course in Epidemiology & Medical Statistics - short course (practical tutor)

I supervise summer projects in the following programmes and at external institutes:

MSc Public Health, LSHTM
MSc Health Policy, Planning, and Financing, LSHTM
MSc Mathematical Epidemiology, AIMS Rwanda

Research

- Health and economic impacts of vaccines

- Infectious disease epidemiology

Research Area

Child health

Disease control

Economic evaluation

Infectious disease policy

Modelling

Public health

Vaccines

Global Health

Epidemiology

Mathematical Modelling

Vaccinology

Disease and Health Conditions

Diabetes

Measles

Tuberculosis

COVID-19

Country

Taiwan

Vietnam

Nigeria

Region

World

Selected Publications

Estimating the basic reproduction number of measles in low-and middle-income settings using 172 seroprevalence studies: A modelling approach.

FU, H; Sbarra, AN; Russell, T; ABBAS, K; Auzenbergs, M; Jit, M;

2026

PLOS global public health

Quantifying relative health impact across Gavi, the Vaccine Alliance's portfolio in 117 countries at the subregional level: a modelling study.

Gaythorpe, KA M; Li, X; Shankar, M; Hartner, A-M; Gibney, Z; ABBAS, K; Abeysuriya, R; Alam, C; Auzenbergs, M; Azman, AS; Barasa, E; Costello, A; Ferrari, MJ; Fraser, K; FU, H; Haile, L; Kakaï, RG; Karachaliou-Prasinou, A; Lee, EC; Katama, EN; Kim, J-H; Jit, M; LIU, Y; Malinga, J; Moore, S; ... Trotter, CL.

2026

The Lancet

Contribution of vaccination to improved survival and health: modelling 50 years of the Expanded Programme on Immunization.

Shattock, AJ; JOHNSON, HC; Sim, SY; Carter, A; Lambach, P; Hutubessy, RC W; Thompson, KM; Badizadegan, K; Lambert, B; Ferrari, MJ; JIT, M; FU, H; Silal, SP; Hounsell, RA; WHITE, RG; Mosser, JF; Gaythorpe, KA M; Trotter, CL; Lindstrand, A; O'Brien, KL; Bar-Zeev, N;

2024

Lancet (London, England)

Impact and cost-effectiveness of measles vaccination through microarray patches in 70 low-income and middle-income countries: mathematical modelling and early-stage economic evaluation.

FU, H; ABBAS, K; Malvolti, S; Gregory, C; Ko, M; Amorij, J-P; JIT, M;

2023

BMJ global health

Health effects of routine measles vaccination and supplementary immunisation activities in 14 high-burden countries: a Dynamic Measles Immunization Calculation Engine (DynaMICE) modelling study.

AUZENBERGS, M; FU, H; ABBAS, K; PROCTER, SR; Cutts, FT; JIT, M;

2023

The Lancet. Global health

Effect of evidence updates on key determinants of measles vaccination impact: a DynaMICE modelling study in ten high-burden countries.

FU, H; ABBAS, K; KLEPAC, P; VAN ZANDVOORT, K; TANVIR, H; Portnoy, A; JIT, M;

2021

BMC Medicine

Modelling the global burden of drug-resistant tuberculosis avertable by a post-exposure vaccine.

FU, H; Lewnard, JA; Frost, I; Laxminarayan, R; Arinaminpathy, N;

2021

Nat Commun

The potential impact of the COVID-19 pandemic on the tuberculosis epidemic a modelling analysis.

Cilloni, L; FU, H; Vesga, JF; Dowdy, D; Pretorius, C; Ahmedov, S; Nair, SA; Mosneaga, A; Masini, E; Sahu, S; Arinaminpathy, N;

2020

EClinicalMedicine

Estimates of the severity of coronavirus disease 2019: a model-based analysis.

Verity, R; Okell, LC; Dorigatti, I; Winskill, P; Whittaker, C; Imai, N; Cuomo-Dannenburg, G; Thompson, H; Walker, PG T; FU, H; Dighe, A; Griffin, JT; BAGUELIN, M; Bhatia, S; Boonyasiri, A; Cori, A; Cucunubá, Z; FitzJohn, R; Gaythorpe, K; Green, W; Hamlet, A; Hinsley, W; Laydon, D; Nedjati-Gilani, G; Riley, S; ... Ferguson, NM.

2020

The Lancet Infectious Diseases

Modelling the effect of discontinuing universal Bacillus Calmette-Guérin vaccination in an intermediate tuberculosis burden setting.

FU, H; Lin, H-H; Hallett, TB; Arinaminpathy, N;

2018

Vaccine

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