State-level tracking of COVID-19 in the United States

Juliette Unwin, Swapnil Mishra, Valerie C. Bradley, Axel Gandy, Thomas A. Mellan, Helen Coupland, Jonathan Ish-Horowicz, Michaela A. C. Vollmer, Charles Whittaker, Sarah L. Filippi, Xiaoyue Xi, Mélodie Monod, Oliver Ratmann, Michael Hutchinson, Fabian Valka, Harrison Zhu, Iwona Hawryluk, Philip Milton, Kylie E. C. Ainslie, Marc Baguelin, Adhiratha Boonyasiri, Nick F. Brazeau, Lorenzo Cattarino, Zulma Cucunubá, Gina Cuomo-Dannenburg, Ilaria Dorigatti, Oliver D. Eales, Jeffrey W. Eaton, Sabine L. van Elsland, Richard G. FitzJohn, Katy A. M. Gaythorpe, William Green, Wes Hinsley, Benjamin Jeffrey, Edward Knock, Daniel J. Laydon, John Lees, Gemma Nedjati-Gilani, Pierre Nouvellet, Lucy Okell, Kris V. Parag, Igor Siveroni, Hayley A. Thompson, Patrick Walker, Caroline E. Walters, Oliver J. Watson, Lilith K. Whittles, Azra C. Ghani, Neil M. Ferguson, Steven Riley, Christl A. Donnelly, Samir Bhatt, Seth Flaxman
December 2020
Cite DOI
Type
Journal article
Publication
Nat. Commun.
Juliette Unwin
Juliette Unwin
Lecturer in Statistical Science

I develop methods to solve questions related to infectious disease outbreaks.

Swapnil Mishra
Swapnil Mishra
Assistant Professor of Machine Learning and Public Health

I primarily work at intersection of public health, machine learning and Bayesian modelling.

Helen Coupland
Helen Coupland
PhD Student

Uses machine learning approaches to examine the dynamics of exposure events that give rise to health outcomes.

Charles Whittaker
Charles Whittaker
Sir Henry Wellcome Postdoctoral Fellow

My work involves modelling infectious disease transmission dynamics.

Oliver Ratmann
Oliver Ratmann
Reader in Statistics and Machine Learning for Public Good

I develop bespoke statistical methods for public good. My group and I are particularly interested in novel Bayesian methods that harness information in viral deep sequence data, mobile phone mobility data, and time-resolved patient data to characterise the spread of infectious diseases, and to guide public health interventions.

Iwona Hawryluk
Iwona Hawryluk
Alumni

I use machine learning methods to understand infectious diseases dynamics.

Samir Bhatt
Samir Bhatt
Professor of Machine Learning, Statistics and Public Health

I focus on mathematical, statistical and computer science tools to answer questions in human health and biology.

Seth Flaxman
Seth Flaxman
Associate Professor

My research is on scalable methods and flexible models for spatiotemporal statistics and Bayesian machine learning, applied to public policy and social science.