📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

EpiBeds: Data informed modelling of the COVID-19 hospital burden in England (2021)

First Author: Overton C

Attributed to: COVID-19: Bayesian inference for high resolution stochastic modelling for the UK funded by COVID

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.2110.06193

Publication URI: https://arxiv.org/abs/2110.06193

Type: Other