Resurgence of SARS-CoV-2: Detection by community viral surveillance

Author:

Riley Steven12ORCID,Ainslie Kylie E. C.12ORCID,Eales Oliver12ORCID,Walters Caroline E.12ORCID,Wang Haowei12ORCID,Atchison Christina1ORCID,Fronterre Claudio34ORCID,Diggle Peter J.34,Ashby Deborah1ORCID,Donnelly Christl A.125ORCID,Cooke Graham678ORCID,Barclay Wendy6ORCID,Ward Helen178ORCID,Darzi Ara789ORCID,Elliott Paul17810ORCID

Affiliation:

1. School of Public Health, Imperial College London, London, UK.

2. MRC Centre for Global Infectious Disease Analysis and Abdul Latif Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.

3. Centre for Health Informatics, Computing, and Statistics (CHICAS), Lancaster Medical School, Lancaster University, Lancaster, UK.

4. Health Data Research UK, London, UK.

5. Department of Statistics, University of Oxford, Oxford, UK.

6. Department of Infectious Disease, Imperial College London, London, UK.

7. Imperial College Healthcare NHS Trust, London, UK.

8. National Institute for Health Research Imperial Biomedical Research Centre, London, UK.

9. Institute of Global Health Innovation, Imperial College London, London, UK.

10. MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.

Abstract

Community virus surveillance Even highly effective vaccines will not save us from the need to monitor severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) activity, perhaps for years to come. Public health institutions will need early warning of any uptick in cases to prepare and deploy interventions as required. Riley et al. developed a community-wide program that was designed to detect resurgence at low prevalence and has been used to track SARS-CoV-2 virus across England. In the four rounds of sampling from May to September 2020, almost 600,000 people representative of all communities were monitored. The results revealed the greatest prevalence among 18- to 24-year-olds, with increasing incidence among older age groups and elevated odds of infection among some communities. This testing approach offers a model for the type of real-time, country-wide population-based surveillance work that needs to be conducted to monitor SARS-CoV-2. Science , abf0874, this issue p. 990

Funder

Medical Research Council

National Institute for Health Research

Department of Health

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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