Ontology highlight
ABSTRACT:
SUBMITTER: Unwin HJT
PROVIDER: S-EPMC7712910 | biostudies-literature | 2020 Dec
REPOSITORIES: biostudies-literature
Unwin H Juliette T HJT Mishra Swapnil S Bradley Valerie C VC Gandy Axel A Mellan Thomas A TA Coupland Helen H Ish-Horowicz Jonathan J Vollmer Michaela A C MAC Whittaker Charles C Filippi Sarah L SL Xi Xiaoyue X Monod Mélodie M Ratmann Oliver O Hutchinson Michael M Valka Fabian F Zhu Harrison H Hawryluk Iwona I Milton Philip P Ainslie Kylie E C KEC Baguelin Marc M Boonyasiri Adhiratha A Brazeau Nick F NF Cattarino Lorenzo L Cucunuba Zulma Z Cuomo-Dannenburg Gina G Dorigatti Ilaria I Eales Oliver D OD Eaton Jeffrey W JW van Elsland Sabine L SL FitzJohn Richard G RG Gaythorpe Katy A M KAM Green William W Hinsley Wes W Jeffrey Benjamin B Knock Edward E Laydon Daniel J DJ Lees John J Nedjati-Gilani Gemma G Nouvellet Pierre P Okell Lucy L Parag Kris V KV Siveroni Igor I Thompson Hayley A HA Walker Patrick P Walters Caroline E CE Watson Oliver J OJ Whittles Lilith K LK Ghani Azra C AC Ferguson Neil M NM Riley Steven S Donnelly Christl A CA Bhatt Samir S Flaxman Seth S
Nature communications 20201203 1
As of 1st June 2020, the US Centres for Disease Control and Prevention reported 104,232 confirmed or probable COVID-19-related deaths in the US. This was more than twice the number of deaths reported in the next most severely impacted country. We jointly model the US epidemic at the state-level, using publicly available death data within a Bayesian hierarchical semi-mechanistic framework. For each state, we estimate the number of individuals that have been infected, the number of individuals tha ...[more]