Community prevalence of SARS-CoV-2 in England from April to November, 2020: results from the ONS Coronavirus Infection Survey

Koen B. Pouwels(National Institute for Health and Care Research), Thomas House(University of Manchester), Emma Pritchard(National Institute for Health and Care Research), Julie V. Robotham(Public Health England), Paul Birrell(University of Cambridge), Andrew Gelman(Columbia University), Karina-Doris Vihta(National Institute for Health and Care Research), Nikola Bowers(Office for National Statistics), Ian Boreham(Office for National Statistics), Heledd Thomas(Office for National Statistics), James Lewis(Office for National Statistics), Iain Bell(Office for National Statistics), John I. Bell(University of Oxford), John Newton(Public Health England), Jeremy Farrar(Wellcome Trust), Ian Diamond(Office for National Statistics), Pete Benton(Office for National Statistics), A. Sarah Walker(National Institute for Health and Care Research), Koen B. Pouwels(National Institute for Health and Care Research), A. Sarah Walker(National Institute for Health and Care Research), Derrick W. Crook(Office for National Statistics), Philippa C. Matthews(Office for National Statistics), Tim Peto(Office for National Statistics), Emma Pritchard(National Institute for Health and Care Research), Nicole Stoesser(Office for National Statistics), Karina-Doris Vihta(National Institute for Health and Care Research), Alison Howarth(Office for National Statistics), George Doherty(Office for National Statistics), James Kavanagh(Office for National Statistics), Kevin Chau(Office for National Statistics), Stephanie B. Hatch(Office for National Statistics), Daniel Ebner(Office for National Statistics), Lucas Martins Ferreira(Office for National Statistics), Thomas Christott(Office for National Statistics), Brian D. Marsden(Office for National Statistics), Wanwisa Dejnirattisai(Office for National Statistics), Juthathip Mongkolsapaya(Office for National Statistics), Sarah Hoosdally(National Institute for Health and Care Research), Richard J. Cornall, David I. Stuart, Gavin Screaton, David W. Eyre(Office for National Statistics), John I. Bell(University of Oxford), Stuart Cox(Office for National Statistics), Kevin Paddon(Office for National Statistics), Tim James(Office for National Statistics), Thomas House(University of Manchester), John Newton(Public Health England), Julie V. Robotham(Public Health England), Paul Birrell(University of Cambridge), Helena Jordan, Tim Sheppard(Office for National Statistics), Graham Athey, Dan Moody(Office for National Statistics), Leigh Curry, Pamela Brereton, Jodie Hay(Office for National Statistics), Harper VanSteenhouse, Iain Bell(Office for National Statistics), Ian Diamond(Office for National Statistics), Alex Lambert(Office for National Statistics), Pete Benton(Office for National Statistics), Emma Rourke(National Institute for Health and Care Research), Stacey Hawkes(Office for National Statistics), Sarah Henry(National Institute for Health and Care Research), James Scruton(Office for National Statistics), Peter Stokes(Office for National Statistics), Tina Thomas(Office for National Statistics), John Allen(Public Health England), Russell Black(Office for National Statistics), Heather Bovill(Office for National Statistics), David Braunholtz(Office for National Statistics), Dominic Brown(Office for National Statistics), Sarah Collyer(National Institute for Health and Care Research), Megan Crees(Office for National Statistics), Colin Daglish(Office for National Statistics), Byron Davies(Office for National Statistics), Hannah Donnarumma(Office for National Statistics), Julia Douglas-Mann(Office for National Statistics), Antonio Felton(Office for National Statistics), Hannah Finselbach(Office for National Statistics), Eleanor Fordham(Office for National Statistics), Alberta Ipser(Office for National Statistics), Joe Jenkins(Office for National Statistics), Joel W. Jones(Office for National Statistics), Katherine Kent(Office for National Statistics), Geeta Kerai(Office for National Statistics), Lina Lloyd(Office for National Statistics), Victoria Masding(Office for National Statistics), Ellie Osborn(Office for National Statistics), Alpi Patel(Office for National Statistics), Elizabeth Pereira(Office for National Statistics), Tristan J. Pett(Office for National Statistics), Melissa Randall(Office for National Statistics), Donna Reeve(Office for National Statistics), Palvi Shah(Office for National Statistics), Ruth Snook(Office for National Statistics), Ruth Studley(Office for National Statistics), Esther Sutherland(Office for National Statistics), Eliza Swinn(Office for National Statistics), Heledd Thomas(Office for National Statistics), Anna Tudor(Office for National Statistics), Joshua Weston(Office for National Statistics), Shayla Leib(Office for National Statistics), James Tierney(Office for National Statistics), Gábor Farkas(Office for National Statistics), Raf Cobb(Office for National Statistics), Folkert Van Galen(Office for National Statistics), L. E. Compton(Office for National Statistics), J. T. Irving(Office for National Statistics), John Clarke(Public Health England), Rachel Mullis(Office for National Statistics), Lorraine Ireland(Office for National Statistics), Diana Airimitoaie(Office for National Statistics), C. Nash(Office for National Statistics), Danielle Cox(Office for National Statistics), Sarah C. Fisher(National Institute for Health and Care Research), Zoe Moore(Office for National Statistics), James M. McLean(Office for National Statistics), Matt Kerby(Office for National Statistics)
The Lancet Public Health
December 11, 2020
Cited by 209Open Access
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Abstract

BACKGROUND: Decisions about the continued need for control measures to contain the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) rely on accurate and up-to-date information about the number of people testing positive for SARS-CoV-2 and risk factors for testing positive. Existing surveillance systems are generally not based on population samples and are not longitudinal in design. METHODS: Samples were collected from individuals aged 2 years and older living in private households in England that were randomly selected from address lists and previous Office for National Statistics surveys in repeated cross-sectional household surveys with additional serial sampling and longitudinal follow-up. Participants completed a questionnaire and did nose and throat self-swabs. The percentage of individuals testing positive for SARS-CoV-2 RNA was estimated over time by use of dynamic multilevel regression and poststratification, to account for potential residual non-representativeness. Potential changes in risk factors for testing positive over time were also assessed. The study is registered with the ISRCTN Registry, ISRCTN21086382. FINDINGS: Between April 26 and Nov 1, 2020, results were available from 1 191 170 samples from 280 327 individuals; 5231 samples were positive overall, from 3923 individuals. The percentage of people testing positive for SARS-CoV-2 changed substantially over time, with an initial decrease between April 26 and June 28, 2020, from 0·40% (95% credible interval 0·29-0·54) to 0·06% (0·04-0·07), followed by low levels during July and August, 2020, before substantial increases at the end of August, 2020, with percentages testing positive above 1% from the end of October, 2020. Having a patient-facing role and working outside your home were important risk factors for testing positive for SARS-CoV-2 at the end of the first wave (April 26 to June 28, 2020), but not in the second wave (from the end of August to Nov 1, 2020). Age (young adults, particularly those aged 17-24 years) was an important initial driver of increased positivity rates in the second wave. For example, the estimated percentage of individuals testing positive was more than six times higher in those aged 17-24 years than in those aged 70 years or older at the end of September, 2020. A substantial proportion of infections were in individuals not reporting symptoms around their positive test (45-68%, dependent on calendar time. INTERPRETATION: Important risk factors for testing positive for SARS-CoV-2 varied substantially between the part of the first wave that was captured by the study (April to June, 2020) and the first part of the second wave of increased positivity rates (end of August to Nov 1, 2020), and a substantial proportion of infections were in individuals not reporting symptoms, indicating that continued monitoring for SARS-CoV-2 in the community will be important for managing the COVID-19 pandemic moving forwards. FUNDING: Department of Health and Social Care.


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