Journal article
Resurgence of SARS-CoV-2: detection by community viral surveillance
- Abstract:
- Surveillance of the SARS-CoV-2 epidemic has mainly relied on case reporting which is biased by health service performance, test availability and test-seeking behaviors. We report a community-wide national representative surveillance program in England involving self-administered swab results from 594,000 individuals tested for SARS-CoV-2, regardless of symptoms, from May to beginning of September 2020. The epidemic declined between May and July 2020 but then increased gradually from mid-August, accelerating into early September 2020 at the start of the second wave. When compared to cases detected through routine surveillance, we report here a longer period of decline and a younger age distribution. Representative community sampling for SARS-CoV-2 can substantially improve situational awareness and feed into the public health response even at low prevalence.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.4MB, Terms of use)
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(Preview, Supplementary materials, pdf, 2.2MB, Terms of use)
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- Publisher copy:
- 10.1126/science.abf0874
Authors
- Publisher:
- American Association for the Advancement of Science
- Journal:
- Science More from this journal
- Volume:
- 372
- Issue:
- 6545
- Pages:
- 990-995
- Publication date:
- 2021-04-23
- Acceptance date:
- 2021-04-20
- DOI:
- EISSN:
-
1095-9203
- ISSN:
-
0036-8075
- Language:
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English
- Keywords:
- Pubs id:
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1172718
- Local pid:
-
pubs:1172718
- Deposit date:
-
2021-04-21
- ARK identifier:
Terms of use
- Copyright holder:
- Riley et al.
- Copyright date:
- 2021
- Rights statement:
- Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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