Short-Term Forecasts to Inform the Response to the Covid-19 Epidemic in the UK
medRxiv preprint doi: https://doi.org/10.1101/2020.11.11.20220962; this version posted December 4, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license . Short-term forecasts to inform the response to the Covid-19 epidemic in the UK 1* 1 2 3 4,5 6,7 6 1 8 Funk S , Abbott S , Atkins BD , Baguelin M , Baillie JK , Birrell P , Blake J , Bosse NI , Burton J , 7 1 6,7 2 1 1 3 Carruthers J , Davies NG , De Angelis D , Dyson L , Edmunds WJ , Eggo RM , Ferguson NM , 3 2 2 1 2 2 9 10 Gaythorpe K , Gorsich E , Guyver-Fletcher G , Hellewell J , Hill EM , Holmes A , House TA , Jewell C , 1 1 11 2 12 3 1 13 Jit M , Jombart T , Joshi I , Keeling MJ , Kendall E , Knock ES , Kucharski AJ , Lythgoe KA , Meakin 1 1 14 9 9 11 3 9,15 SR , Munday JD , Openshaw PJM , Overton CE , Pagani F , Pearson J , Perez-Guzman PN , Pellis L , 16 17,18 1 12 2 7 3,7 Scarabel F , Semple MG , Sherratt K , Tang M , Tildesley MJ , Van Leeuwen E , Whittles LK , CMMID COVID-19 Working Group, Imperial College COVID-19 Response Team, ISARIC4C Investigators 1 Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, Keppel St, London, WC1E 7HT, UK 2 The Zeeman Institute for Systems Biology & Infectious Disease
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