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Billy Quilty

MSc

Research Assistant

Room
120

LSHTM
Keppel Street
London
WC1E 7HT
United Kingdom

Affiliations

Department of Infectious Disease Epidemiology
Faculty of Epidemiology and Population Health

Centres

Mathematical Modelling of Infectious Diseases
Vaccine Centre

Research

My research is centred around estimating and evaluating the impact of pneumococcal conjugate vaccines (PCV) on childhood disease burden through spatial and mathematical modelling. This involves characterising important factors of pneumococcal epidemiology such as local serotype distribution and vaccine coverage, as well as socio-economic and environmental determinants.

Currently, I am investigating pneumococcal epidemiology in China as part of the NIHR Evidence to Policy pathway to Immunisation in China (EPIC) project. This project aims to helpĀ decision-makers in China develop a vaccination programme that ensures reliable, affordable, equitable and uninterrupted supply of vaccines to the Chinese population.

I also work on a trial assessing the viability of reduced-dosage schedules of PCV in Nha Trang, Vietnam. Reduced-dose schedules, if effective, would increase the affordability of PCV for countries in the process of graduating from Gavi support.

Research Area
Economic evaluation
Health care policy
Health impact analysis
Health inequalities
Infectious disease policy
Social and structural determinants of health
Vaccines
Bayesian Analysis
Equity
Geographic Information Systems (GIS)
Global Health
Immunisation
Impact evaluation
Spatial analysis
Modelling
Discipline
Health economics
Epidemiology
GIS/Spatial analysis
Mathematical modelling
Vaccinology
Disease and Health Conditions
Infectious disease
Malaria
Respiratory disease
Country
China
Vietnam

Selected Publications

Interventions targeting air travellers early in the pandemic may delay local outbreaks of SARS-CoV-2
Clifford S; Pearson C; Klepac P; Van Zandvoort K; Quilty B; Quilty B; Eggo R; Flasche S; CMMID COVID-19 working group
2020
Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts.
Hellewell J; Abbott S; Gimma A; Bosse NI; Jarvis CI; Russell TW; Munday JD; Kucharski AJ; Edmunds WJ; Centre for the Mathematical Modelling of Infectious Diseases COV
2020
The Lancet. Global health
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