Bibliographical noteFunding Information:
Funding S. Bhatt acknowledges funding from the MRC Centre for Global Infectious Disease Analysis (reference MR/R015600/1), jointly funded by the UK Medical Research Council (MRC) and the UK Foreign, Commonwealth & Development Office (FCDO), under the MRC/FCDO Concordat agreement and is also part of the EDCTP2 programme supported by the European Union. This research was also partly funded by the Imperial College COVID-19 Research Fund. S.bhatt also aknowledges The UK Research and Innovation (MR/V038109/1), the Academy of Medical Sciences Springboard Award (SBF004/1080), The MRC (MR/R015600/1), The BMGF (OPP1197730), Imperial College Healthcare NHS Trust-BRC Funding (RDA02), The Novo Nordisk Young Investigator Award (NNF20OC0059309) and The NIHR Health Protection Research Unit in Modelling Methodology. S. Mishra acknowledges funding from the MRC Centre for Global Infectious Disease Analysis (reference MR/R015600/1) and Community Jameel. M.Sharma was supported by the EPSRC Centre for Doctoral Training in Autonomous Intelligent Machines and Systems (EP/S024050/1). S.Mindermann’s funding for graduate studies was from Oxford University and DeepMind. G Meyerowitz-Katz acknowledges funding from the NSW state government and Commonwealth of Australia. J.M. Brauner was supported by the EPSRC Centre for Doctoral Training in Autonomous Intelligent Machines and Systems (EP/S024050/1) and by Cancer Research UK. O. Ratmann acknowledges funding from the Bill & Melinda Gates Foundation (OPP1175094). Competing interests None declared. Patient consent for publication Not required. Provenance and peer review Not commissioned; externally peer reviewed. Data availability statement There are no data in this work.
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