Key questions for modelling COVID-19 exit strategies
Robin N. Thompson(University of Warwick), Olivier Restif(University of Cambridge), Valerie Isham(University College London), T. Déirdre Hollingsworth(University of Oxford), Lorenzo Pellis(University of Manchester), Nik J. Cunniffe(University of Cambridge), Hans Heesterbeek(University of Applied Sciences Utrecht), Peter Challenor(University of Exeter), Hannah Clapham(National University Health System), Christl A. Donnelly(University of Oxford), William S. Hart(University of Oxford), Emma S. McBryde(The University of Queensland), Gianpaolo Scalia Tomba(University of Rome Tor Vergata), Carl A. B. Pearson(London School of Hygiene & Tropical Medicine), Joshua V. Ross(The University of Adelaide), Ben Ashby(University of Exeter), István Z. Kiss(University of Sussex), Nigel Gilbert(University of Surrey), Rosalind M. Eggo(London School of Hygiene & Tropical Medicine), Martina Morris(Brooke Army Medical Center), Trevelyan J. McKinley(University of Exeter), Julia R. Gog(University of Cambridge), A. P. Dawid(University of Cambridge), Denis Mollison(Heriot-Watt University), Kris V. Parag(Public Health England), Lauren H. K. Chappell(University of Oxford), Juliet R.C. Pulliam(Fogarty International Center), Alun L. Lloyd(North Carolina State University), Thomas House(University of Manchester), Sebastian Funk, Cerian Ruth Webb(University of Cambridge), Pieter Trapman(Stockholm University), Mirjam Kretzschmar(Utrecht University), Bernard W. Silverman(University of Oxford), Michael J. Tildesley(National Institutes of Health), Tom Britton(Stockholm University), Daniel Arribas‐Bel(Turing Institute), Philip D. O’Neill(University of Nottingham), Paul Glendinning(University of Manchester), Matt J. Keeling(University of Warwick), Cláudio J. Struchiner(Universidade do Estado do Rio de Janeiro), Joel C. Miller(La Trobe University), James M. McCaw(The University of Melbourne)
Cited by 138
Related Papers
The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study
|The Lancet Public Health|2020|2.3k
Age-dependent effects in the transmission and control of COVID-19 epidemics
|Nature Medicine|2020|1.9k
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
|The Lancet Global Health|2020|1.2k
Effects of non-pharmaceutical interventions on COVID-19 cases, deaths, and demand for hospital services in the UK: a modelling study
|The Lancet Public Health|2020|979