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Anosmia, ageusia, and other COVID-19-like symptoms in association with a positive SARS-CoV-2 test, across six national digital surveillance platforms: an observational study.
Sudre, Carole H; Keshet, Ayya; Graham, Mark S; Joshi, Amit D; Shilo, Smadar; Rossman, Hagai; Murray, Benjamin; Molteni, Erika; Klaser, Kerstin; Canas, Liane D; Antonelli, Michela; Nguyen, Long H; Drew, David A; Modat, Marc; Pujol, Joan Capdevila; Ganesh, Sajaysurya; Wolf, Jonathan; Meir, Tomer; Chan, Andrew T; Steves, Claire J; Spector, Tim D; Brownstein, John S; Segal, Eran; Ourselin, Sebastien; Astley, Christina M.
  • Sudre CH; School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK; Medical Research Council Unit for Lifelong health and Ageing at UCL, Department of Population Science and Experimental Medicine, University College London, London, UK; Centre for Medical Image Computing, Depa
  • Keshet A; Department of Computer Science and Applied Mathematics and Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
  • Graham MS; School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
  • Joshi AD; Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Shilo S; Department of Computer Science and Applied Mathematics and Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel; Pediatric Diabetes Unit, Ruth Rappaport Children's Hospital, Rambam Healthcare Campus, Haifa, Israel.
  • Rossman H; Department of Computer Science and Applied Mathematics and Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
  • Murray B; School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
  • Molteni E; School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
  • Klaser K; School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
  • Canas LD; School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
  • Antonelli M; School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
  • Nguyen LH; Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Drew DA; Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Modat M; School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
  • Pujol JC; ZOE Global, London, UK.
  • Ganesh S; ZOE Global, London, UK.
  • Wolf J; ZOE Global, London, UK.
  • Meir T; Department of Computer Science and Applied Mathematics and Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
  • Chan AT; Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Steves CJ; Department of Twin Research and Genetic Epidemiology, King's College London, London, UK.
  • Spector TD; Department of Twin Research and Genetic Epidemiology, King's College London, London, UK; ZOE Global, London, UK.
  • Brownstein JS; Computational Epidemiology Lab, Boston Children's Hospital, Boston, MA, USA.
  • Segal E; Department of Computer Science and Applied Mathematics and Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
  • Ourselin S; School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK; AI Institute 3IA Côte d'Azur, Université Côte d'Azur, Nice, France.
  • Astley CM; Computational Epidemiology Lab, Boston Children's Hospital, Boston, MA, USA; Division of Endocrinology, Boston Children's Hospital, Boston, MA, USA; Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA, USA.
Lancet Digit Health ; 3(9): e577-e586, 2021 09.
Article in English | MEDLINE | ID: covidwho-2184865
ABSTRACT

BACKGROUND:

Multiple voluntary surveillance platforms were developed across the world in response to the COVID-19 pandemic, providing a real-time understanding of population-based COVID-19 epidemiology. During this time, testing criteria broadened and health-care policies matured. We aimed to test whether there were consistent associations of symptoms with SARS-CoV-2 test status across three surveillance platforms in three countries (two platforms per country), during periods of testing and policy changes.

METHODS:

For this observational study, we used data of observations from three volunteer COVID-19 digital surveillance platforms (Carnegie Mellon University and University of Maryland Facebook COVID-19 Symptom Survey, ZOE COVID Symptom Study app, and the Corona Israel study) targeting communities in three countries (Israel, the UK, and the USA; two platforms per country). The study population included adult respondents (age 18-100 years at baseline) who were not health-care workers. We did logistic regression of self-reported symptoms on self-reported SARS-CoV-2 test status (positive or negative), adjusted for age and sex, in each of the study cohorts. We compared odds ratios (ORs) across platforms and countries, and we did meta-analyses assuming a random effects model. We also evaluated testing policy changes, COVID-19 incidence, and time scales of duration of symptoms and symptom-to-test time.

FINDINGS:

Between April 1 and July 31, 2020, 514 459 tests from over 10 million respondents were recorded in the six surveillance platform datasets. Anosmia-ageusia was the strongest, most consistent symptom associated with a positive COVID-19 test (robust aggregated rank one, meta-analysed random effects OR 16·96, 95% CI 13·13-21·92). Fever (rank two, 6·45, 4·25-9·81), shortness of breath (rank three, 4·69, 3·14-7·01), and cough (rank four, 4·29, 3·13-5·88) were also highly associated with test positivity. The association of symptoms with test status varied by duration of illness, timing of the test, and broader test criteria, as well as over time, by country, and by platform.

INTERPRETATION:

The strong association of anosmia-ageusia with self-reported positive SARS-CoV-2 test was consistently observed, supporting its validity as a reliable COVID-19 signal, regardless of the participatory surveillance platform, country, phase of illness, or testing policy. These findings show that associations between COVID-19 symptoms and test positivity ranked similarly in a wide range of scenarios. Anosmia, fever, and respiratory symptoms consistently had the strongest effect estimates and were the most appropriate empirical signals for symptom-based public health surveillance in areas with insufficient testing or benchmarking capacity. Collaborative syndromic surveillance could enhance real-time epidemiological investigations and public health utility globally.

FUNDING:

National Institutes of Health, National Institute for Health Research, Alzheimer's Society, Wellcome Trust, and Massachusetts Consortium on Pathogen Readiness.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Population Surveillance / Cough / Ageusia / Dyspnea / Fever / Anosmia / COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Reviews Topics: Long Covid Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged / Young adult Country/Region as subject: North America / Asia / Europa Language: English Journal: Lancet Digit Health Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Population Surveillance / Cough / Ageusia / Dyspnea / Fever / Anosmia / COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Reviews Topics: Long Covid Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged / Young adult Country/Region as subject: North America / Asia / Europa Language: English Journal: Lancet Digit Health Year: 2021 Document Type: Article