Prati
Hamish Gibbs
Hamish Gibbs
Potvrđena adresa e-pošte na lshtm.ac.uk
Naslov
Citirano
Citirano
Godina
Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: a modelling study
A Clark, M Jit, C Warren-Gash, B Guthrie, HHX Wang, SW Mercer, ...
The Lancet Global Health 8 (8), e1003-e1017, 2020
1213*2020
Estimating the time-varying reproduction number of SARS-CoV-2 using national and subnational case counts
S Abbott, J Hellewell, RN Thompson, K Sherratt, HP Gibbs, NI Bosse, ...
Wellcome Open Research 5 (112), 112, 2020
3102020
Reconstructing the early global dynamics of under-ascertained COVID-19 cases and infections
TW Russell, N Golding, J Hellewell, S Abbott, L Wright, CAB Pearson, ...
BMC medicine 18 (1), 332, 2020
189*2020
Using a delay-adjusted case fatality ratio to estimate under-reporting
TW Russell, J Hellewell, S Abbott, N Golding, H Gibbs, CI Jarvis, ...
Centre for Mathematical Modeling of Infectious Diseases Repository 22, 2020
1662020
Changing travel patterns in China during the early stages of the COVID-19 pandemic
H Gibbs, Y Liu, CAB Pearson, CI Jarvis, C Grundy, BJ Quilty, C Diamond, ...
Nature communications 11 (1), 5012, 2020
1082020
Severity of severe acute respiratory system coronavirus 2 (SARS-CoV-2) alpha variant (B. 1.1. 7) in England
DJ Grint, K Wing, C Houlihan, HP Gibbs, SJW Evans, E Williamson, ...
Clinical Infectious Diseases 75 (1), e1120-e1127, 2022
882022
The effect of travel restrictions on the geographical spread of COVID-19 between large cities in China: a modelling study
BJ Quilty, C Diamond, Y Liu, H Gibbs, TW Russell, CI Jarvis, K Prem, ...
BMC medicine 18 (1), 259, 2020
55*2020
Inferring the number of COVID-19 cases from recently reported deaths
T Jombart, K Van Zandvoort, TW Russell, CI Jarvis, A Gimma, S Abbott, ...
Wellcome Open Research 5, 2020
542020
Detecting behavioural changes in human movement to inform the spatial scale of interventions against COVID-19
H Gibbs, E Nightingale, Y Liu, J Cheshire, L Danon, L Smeeth, ...
PLoS computational biology 17 (7), e1009162, 2021
212021
Accident and emergency (AE) attendance in England following infection with SARS-CoV-2 Omicron or Delta
DJ Grint, K Wing, HP Gibbs, SJW Evans, E Williamson, K Bhaskaran, ...
medRxiv, 2022.05. 03.22274602, 2022
92022
Association between household composition and severe COVID-19 outcomes in older people by ethnicity: an observational cohort study using the OpenSAFELY platform
K Wing, DJ Grint, R Mathur, HP Gibbs, G Hickman, E Nightingale, ...
International Journal of Epidemiology 51 (6), 1745-1760, 2022
82022
covidregionaldata: Subnational data for COVID-19 epidemiology
J Palmer, K Sherratt, R Martin-Nielsen, J Bevan, H Gibbs, S Funk, ...
Journal of Open Source Software 6 (63), 3290, 2021
82021
Association between mobility, non-pharmaceutical interventions, and COVID-19 transmission in Ghana: A modelling study using mobile phone data
H Gibbs, Y Liu, S Abbott, I Baffoe-Nyarko, DO Laryea, E Akyereko, ...
PLOS global public health 2 (9), e0000502, 2022
62022
Harnessing mobility data to capture changing work from home behaviours between censuses
H Gibbs, P Ballantyne, J Cheshire, A Singleton, MA Green
The Geographical Journal 190 (2), e12555, 2024
22024
Population disruption: observational study of changes in the population distribution of the UK during the COVID-19 pandemic
H Gibbs, NR Waterlow, J Cheshire, L Danon, Y Liu, C Grundy, ...
Wellcome Open Research 7 (243), 243, 2022
2*2022
How many are at increased risk of severe COVID-19 disease? Rapid global, regional and national estimates for 2020 (preprint)
A Clark, M Jit, C Warren-Gash, B Guthrie, HHX Wang, SW Mercer, ...
22020
Clustering reveals key behaviours driving human movement network structure
H Gibbs, RM Eggo, J Cheshire
medRxiv, 2023.11. 06.23298140, 2023
2023
Call detail record aggregation methodology impacts infectious disease models informed by human mobility
H Gibbs, A Musah, O Seidu, W Ampofo, F Asiedu-Bekoe, J Gray, ...
PLoS Computational Biology 19 (8), e1011368, 2023
2023
Population disruption: observational study of changes in th e population distribution of the UK during the COVID-1 9 pandemic [version 1; peer review: awaiting peer review]
H Gibbs, NR Waterlow, J Cheshire, L Danon, Y Liu, C Grundy, ...
2022
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