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Resurgence of SARS-CoV-2: Detection by community viral surveillance.
Riley, Steven; Ainslie, Kylie E C; Eales, Oliver; Walters, Caroline E; Wang, Haowei; Atchison, Christina; Fronterre, Claudio; Diggle, Peter J; Ashby, Deborah; Donnelly, Christl A; Cooke, Graham; Barclay, Wendy; Ward, Helen; Darzi, Ara; Elliott, Paul.
  • Riley S; School of Public Health, Imperial College London, London, UK. s.riley@imperial.ac.uk p.elliott@imperial.ac.uk.
  • Ainslie KEC; MRC Centre for Global Infectious Disease Analysis and Abdul Latif Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
  • Eales O; School of Public Health, Imperial College London, London, UK.
  • Walters CE; MRC Centre for Global Infectious Disease Analysis and Abdul Latif Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
  • Wang H; School of Public Health, Imperial College London, London, UK.
  • Atchison C; MRC Centre for Global Infectious Disease Analysis and Abdul Latif Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
  • Fronterre C; School of Public Health, Imperial College London, London, UK.
  • Diggle PJ; MRC Centre for Global Infectious Disease Analysis and Abdul Latif Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
  • Ashby D; School of Public Health, Imperial College London, London, UK.
  • Donnelly CA; MRC Centre for Global Infectious Disease Analysis and Abdul Latif Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
  • Cooke G; School of Public Health, Imperial College London, London, UK.
  • Barclay W; Centre for Health Informatics, Computing, and Statistics (CHICAS), Lancaster Medical School, Lancaster University, Lancaster, UK.
  • Ward H; Health Data Research UK, London, UK.
  • Darzi A; Centre for Health Informatics, Computing, and Statistics (CHICAS), Lancaster Medical School, Lancaster University, Lancaster, UK.
  • Elliott P; Health Data Research UK, London, UK.
Science ; 372(6545): 990-995, 2021 05 28.
Article in English | MEDLINE | ID: covidwho-1203930
ABSTRACT
Surveillance of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic 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 based on self-administered swab results from ~594,000 individuals tested for SARS-CoV-2, regardless of symptoms, between May and the 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 with 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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Public Health Surveillance / Epidemiological Monitoring / COVID-19 Type of study: Diagnostic study / Observational study Topics: Long Covid Limits: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Male / Middle aged / Young adult Country/Region as subject: Europa Language: English Journal: Science Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Public Health Surveillance / Epidemiological Monitoring / COVID-19 Type of study: Diagnostic study / Observational study Topics: Long Covid Limits: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Male / Middle aged / Young adult Country/Region as subject: Europa Language: English Journal: Science Year: 2021 Document Type: Article