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State-level tracking of COVID-19 in the United States.
Unwin, H Juliette T; Mishra, Swapnil; Bradley, Valerie C; Gandy, Axel; Mellan, Thomas A; Coupland, Helen; Ish-Horowicz, Jonathan; Vollmer, Michaela A C; Whittaker, Charles; Filippi, Sarah L; Xi, Xiaoyue; Monod, Mélodie; Ratmann, Oliver; Hutchinson, Michael; Valka, Fabian; Zhu, Harrison; Hawryluk, Iwona; Milton, Philip; Ainslie, Kylie E C; Baguelin, Marc; Boonyasiri, Adhiratha; Brazeau, Nick F; Cattarino, Lorenzo; Cucunuba, Zulma; Cuomo-Dannenburg, Gina; Dorigatti, Ilaria; Eales, Oliver D; Eaton, Jeffrey W; van Elsland, Sabine L; FitzJohn, Richard G; Gaythorpe, Katy A M; Green, William; Hinsley, Wes; Jeffrey, Benjamin; Knock, Edward; Laydon, Daniel J; Lees, John; Nedjati-Gilani, Gemma; Nouvellet, Pierre; Okell, Lucy; Parag, Kris V; Siveroni, Igor; Thompson, Hayley A; Walker, Patrick; Walters, Caroline E; Watson, Oliver J; Whittles, Lilith K; Ghani, Azra C; Ferguson, Neil M; Riley, Steven.
  • Unwin HJT; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK. h.unwin@imperial.ac.uk.
  • Mishra S; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Bradley VC; Department of Statistics, University of Oxford, Oxford, UK.
  • Gandy A; Department of Mathematics, Imperial College, London, UK.
  • Mellan TA; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Coupland H; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Ish-Horowicz J; Department of Mathematics, Imperial College, London, UK.
  • Vollmer MAC; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Whittaker C; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Filippi SL; Department of Mathematics, Imperial College, London, UK.
  • Xi X; Department of Mathematics, Imperial College, London, UK.
  • Monod M; Department of Mathematics, Imperial College, London, UK.
  • Ratmann O; Department of Mathematics, Imperial College, London, UK.
  • Hutchinson M; Department of Statistics, University of Oxford, Oxford, UK.
  • Zhu H; Department of Mathematics, Imperial College, London, UK.
  • Hawryluk I; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Milton P; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Ainslie KEC; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Baguelin M; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Boonyasiri A; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
  • Brazeau NF; NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, London, UK.
  • Cattarino L; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Cucunuba Z; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Cuomo-Dannenburg G; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Dorigatti I; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Eales OD; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Eaton JW; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • van Elsland SL; MRC Centre for Global Infectious Disease Analysis, Imperial College, London, UK.
  • FitzJohn RG; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Gaythorpe KAM; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Green W; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Hinsley W; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Jeffrey B; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Knock E; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Laydon DJ; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Lees J; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Nedjati-Gilani G; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Nouvellet P; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Okell L; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Parag KV; School of Life Sciences, University of Sussex, Brighton, UK.
  • Siveroni I; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Thompson HA; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Walker P; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Walters CE; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Watson OJ; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Whittles LK; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Ghani AC; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
  • Ferguson NM; Department of Laboratory Medicine and Pathology, Brown University, Providence, RI, USA.
  • Riley S; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College, London, UK.
Nat Commun ; 11(1): 6189, 2020 12 03.
Article in English | MEDLINE | ID: covidwho-960314
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
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ABSTRACT
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 that are currently infectious and the time-varying reproduction number (the average number of secondary infections caused by an infected person). We use changes in mobility to capture the impact that non-pharmaceutical interventions and other behaviour changes have on the rate of transmission of SARS-CoV-2. We estimate that Rt was only below one in 23 states on 1st June. We also estimate that 3.7% [3.4%-4.0%] of the total population of the US had been infected, with wide variation between states, and approximately 0.01% of the population was infectious. We demonstrate good 3 week model forecasts of deaths with low error and good coverage of our credible intervals.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: North America Language: English Journal: Nat Commun Journal subject: Biology / Science Year: 2020 Document Type: Article Affiliation country: S41467-020-19652-6

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: North America Language: English Journal: Nat Commun Journal subject: Biology / Science Year: 2020 Document Type: Article Affiliation country: S41467-020-19652-6