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 | 1220* | 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 | 314 | 2020 |
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 | 191 | 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 | 166 | 2020 |
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 | 111 | 2020 |
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 | 88 | 2022 |
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 | 55 | 2020 |
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 | 21 | 2021 |
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 | 8 | 2022 |
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 | 8 | 2022 |
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 | 8 | 2021 |
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 | 6 | 2022 |
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 | 2 | 2024 |
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 |
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 | 1 | 2023 |
Detecting behavioural bias in GPS location data collected by mobile applications H Gibbs, RM Eggo, J Cheshire medRxiv, 2023.11. 06.23298140, 2023 | | 2023 |
Clustering reveals key behaviours driving human movement network structure H Gibbs, RM Eggo, J Cheshire | | 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 |