Close

Hamish Gibbs

MSc

Research Assistant

Room
G15b

LSHTM
Keppel Street
London
WC1E 7HT
United Kingdom

I work as a spatial data scientist exploring new data sources to improve understanding of infectious diseases and the control disease outbreaks. My background is in Geography at Syracuse University and Geoinformation Technology (MSc) at the University of Glasgow.  

Affiliations

Department of Infectious Disease Epidemiology
Faculty of Epidemiology and Population Health

Centres

Centre for the Mathematical Modelling of Infectious Diseases (CMMID)

Teaching

I have assisted with the Introduction to GIS course, taught a module in the Introduction to Python course for the Health Data Science MSc, and have helped to develop introductory public health GIS courses in Python and R. 

Research

Since joining LSHTM I have conducted research on largescale human movement, measuring migration flows in Uganda and DRC in response to the Ebola epidemic. My primary focus has been the COVID-19 pandemic where I have focused on patterns of human movement and the response to public health interventions in China, the UK, and Ghana.

Research Area
Geographic Information Systems (GIS)
Mobile technologies
Natural disasters
Outbreaks
Spatial analysis
Modelling
Disease and Health Conditions
Coronavirus
Ebola
Country
China
Democratic Republic of the Congo
Italy
Republic of Korea
Uganda
Region
World

Selected Publications

Detecting behavioural changes in human movement to inform the spatial scale of interventions against COVID-19.
Gibbs H; Nightingale E; Liu Y; Cheshire J; Danon L; Smeeth L; Pearson CAB; Grundy C; Kucharski AJ; Eggo RM
2021
PLoS computational biology
Population disruption: estimating changes in population distribution in the UK during the COVID-19 pandemic
Gibbs H; Waterlow N; Cheshire J; Danon L; Liu Y; Grundy C; Kucharski A; Eggo R; LSHTM CMMID COVID-19 Working Group
2021
The potential for vaccination-induced herd immunity against the SARS-CoV-2 B.1.1.7 variant.
Hodgson D; Flasche S; Jit M; Kucharski AJ; CMMID COVID-19 Working Group; Centre for Mathematical Modelling of Infectious Disease (CMMID)
2021
Eurosurveillance
The impact of local and national restrictions in response to COVID-19 on social contacts in England: a longitudinal natural experiment.
Jarvis CI; Gimma A; van Zandvoort K; Wong KLM; CMMID COVID-19 working group; Edmunds WJ
2021
BMC medicine
Estimating the impact of reopening schools on the reproduction number of SARS-CoV-2 in England, using weekly contact survey data.
Munday JD; Jarvis CI; Gimma A; Wong KLM; van Zandvoort K; CMMID COVID-19 Working Group; Funk S; Edmunds WJ
2021
BMC medicine
Implications of the school-household network structure on SARS-CoV-2 transmission under school reopening strategies in England.
Munday JD; Sherratt K; Meakin S; Endo A; Pearson CAB; Hellewell J; Abbott S; Bosse NI; CMMID COVID-19 Working Group; Atkins KE
2021
Nature communications
covidregionaldata: Subnational data for COVID-19 epidemiology
Palmer J; Sherratt K; Martin-Nielsen R; Bevan J; Gibbs H; Group C; Funk S; Abbott S
2021
Journal of Open Source Software
SARS-CoV-2 infection risk during delivery of childhood vaccination campaigns: a modelling study.
Procter SR; Abbas K; Flasche S; Griffiths U; Hagedorn B; O'Reilly KM; CMMID COVID-19 Working Group; Jit M
2021
BMC Medicine
See more Publications