Using serological data to understand unobserved SARS-CoV-2 risk in health-care settings

Lancet Infect Dis. 2020 Dec;20(12):1351-1352. doi: 10.1016/S1473-3099(20)30579-X. Epub 2020 Aug 3.

Authors

Adam J Kucharski¹, Eric J Nilles²

Affiliations

¹ Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK. Electronic address: adam.kucharski@lshtm.ac.uk.
² Brigham and Women's Hospital, Harvard Medical School, Harvard Humanitarian Initiative, Boston, MA, USA.

No abstract available

Publication types

Comment

MeSH terms

COVID-19*
Coronavirus Infections* / epidemiology
Delivery of Health Care
Health
Humans
Pandemics
SARS-CoV-2*

Grants and funding

206250/Z/17/Z/WT_/Wellcome Trust/United Kingdom