Joe Hilton

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Matt J KeelingUniversity of WarwickVerified email at warwick.ac.uk
Samuel P C BrandThe Center for Forecasting and Outbreak Analytics (CFA)Verified email at warwick.ac.uk
D. James NokesProfessor of Infectious Disease Epidemiology, KEMRI-Wellcome Trust, Kenya; University of Warwick, UKVerified email at kemri-wellcome.org
Andrea ParisiCentre for Health Informatics, Computing and Statistics. Lancaster University (UK)Verified email at lancaster.ac.uk
Thomas HouseDepartment of Mathematics, University of ManchesterVerified email at manchester.ac.uk
Trystan LengResearch Fellow, Imperial College LondonVerified email at imperial.ac.uk
Laura Marcela Guzmán-RincónUniversity of WarwickVerified email at warwick.ac.uk
Massimo CavallaroUniversity of WarwickVerified email at warwick.ac.uk
Lorenzo PellisSir Henry Dale Fellow, The University of ManchesterVerified email at manchester.ac.uk
Helena StageUniversity of BristolVerified email at bristol.ac.uk
Kat S RockWarwick UniversityVerified email at warwick.ac.uk
Fergus CummingForeign, Commonwealth and Development OfficeVerified email at fcdo.gov.uk
Adam KucharskiProfessor, London School of Hygiene & Tropical MedicineVerified email at lshtm.ac.uk
Stefan FlascheCharite Berlin & LSHTMVerified email at charite.de
Nicholas G. DaviesAssociate Professor of Modelling, London School of Hygiene and Tropical MedicineVerified email at lshtm.ac.uk
Charles AgotiResearch Scientist, KEMRI-Wellcome TrustVerified email at kemri-wellcome.org
Robert Manson-SawkoResearch Staff Member, IBMVerified email at uk.ibm.com
Ian HallProfessor of Mathematical Epidemiology and Statistics, School of Mathematics, Manchester universityVerified email at manchester.ac.uk

Joe Hilton

University of Manchester

Verified email at manchester.ac.uk - Homepage

public health epidemiology mathematical biology stochastic processes


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Estimation of country-level basic reproductive ratios for novel Coronavirus (SARS-CoV-2/COVID-19) using synthetic contact matrices J Hilton, MJ Keeling PLoS computational biology 16 (7), e1008031, 2020	146	2020
The effectiveness of social bubbles as part of a Covid-19 lockdown exit strategy, a modelling study T Leng, C White, J Hilton, A Kucharski, L Pellis, H Stage, NG Davies, ... Wellcome open research 5, 2020	73*	2020
Forecasting the scale of the COVID-19 epidemic in Kenya SPC Brand, R Aziza, IK Kombe, CN Agoti, J Hilton, KS Rock, A Parisi, ... MedRxiv, 2020.04. 09.20059865, 2020	55*	2020
The role of vaccination and public awareness in forecasts of Mpox incidence in the United Kingdom SPC Brand, M Cavallaro, F Cumming, C Turner, I Florence, P Blomquist, ... Nature Communications 14 (1), 4100, 2023	44*	2023
Incorporating household structure and demography into models of endemic disease J Hilton, MJ Keeling Journal of the Royal Society Interface 16 (157), 20190317, 2019	36	2019
A computational framework for modelling infectious disease policy based on age and household structure with applications to the COVID-19 pandemic J Hilton, H Riley, L Pellis, R Aziza, SPC Brand, I K. Kombe, J Ojal, A Parisi, ... PLoS computational biology 18 (9), e1010390, 2022	7	2022
Spatially resolved simulations of the spread of COVID-19 in three European countries A Parisi, SPC Brand, J Hilton, R Aziza, MJ Keeling, DJ Nokes PLOS Computational Biology 17 (7), e1009090, 2021	6	2021
A beta-Poisson model for infectious disease transmission J Hilton, I Hall PLoS computational biology 20 (2), e1011856, 2024		2024
Ecology and environment predict spatially stratified risk of highly pathogenic avian influenza in wild birds across Europe S Hayes, J Hilton, J Mould-Quevodo, C Donnelly, M Baylis, L Brierley bioRxiv, 2024.07. 17.603912, 2024		2024
Stochastic approaches to infectious disease in heterogeneous populations J Hilton University of Warwick, 2019		2019
Uncovering the Contribution of Ecological and Environmental Traits to Predicted Avian Influenza Risks in Wild Birds Across Europe S Hayes, J Hilton, J Mould-Quevedo, CA Donnelly, M Baylis, L Brierley 9TH INTERNATIONAL CONFERENCE ON INFECTIOUS DISEASE DYNAMICS O 3, 0
Analysing an Outbreak of Ebolavirus Disease Using Stochastic Simulation and Bayesian Inference J Hilton, L Guzman-Rincon, S Brand, C Orlendo, MJ Keeling, DJ Nokes 9TH INTERNATIONAL CONFERENCE ON INFECTIOUS DISEASE DYNAMICS P 2, 0

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