📣 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.

Exploring surveillance data biases when estimating the reproduction number: with insights into subpopulation transmission of COVID-19 in England. (2021)

First Author: Sherratt K

Attributed to: Understanding the dynamics and drivers of the COVID-2019 epidemic using real-time outbreak analytics funded by COVID

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1098/rstb.2020.0283

PubMed Identifier: 34053260

Publication URI: http://europepmc.org/abstract/MED/34053260

Type: Journal Article/Review

Volume: 376

Parent Publication: Philosophical transactions of the Royal Society of London. Series B, Biological sciences

Issue: 1829

ISSN: 0962-8436