Co-Authors
This is a "connection" page, showing publications co-authored by Carole Sudre and Marc Modat.
Connection Strength
1.520
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Early detection of COVID-19 in the UK using self-reported symptoms: a large-scale, prospective, epidemiological surveillance study. Lancet Digit Health. 2021 09; 3(9):e587-e598.
Score: 0.240
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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. Lancet Digit Health. 2021 09; 3(9):e577-e586.
Score: 0.239
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Symptoms and syndromes associated with SARS-CoV-2 infection and severity in pregnant women from two community cohorts. Sci Rep. 2021 03 25; 11(1):6928.
Score: 0.234
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Symptom clusters in COVID-19: A potential clinical prediction tool from the COVID Symptom Study app. Sci Adv. 2021 03; 7(12).
Score: 0.234
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Attributes and predictors of long COVID. Nat Med. 2021 04; 27(4):626-631.
Score: 0.233
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Illness duration and symptom profile in symptomatic UK school-aged children tested for SARS-CoV-2. Lancet Child Adolesc Health. 2021 10; 5(10):708-718.
Score: 0.060
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Vaccine side-effects and SARS-CoV-2 infection after vaccination in users of the COVID Symptom Study app in the UK: a prospective observational study. Lancet Infect Dis. 2021 07; 21(7):939-949.
Score: 0.059
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Changes in symptomatology, reinfection, and transmissibility associated with the SARS-CoV-2 variant B.1.1.7: an ecological study. Lancet Public Health. 2021 05; 6(5):e335-e345.
Score: 0.059
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Probable delirium is a presenting symptom of COVID-19 in frail, older adults: a cohort study of 322 hospitalised and 535 community-based older adults. Age Ageing. 2021 01 08; 50(1):40-48.
Score: 0.058
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Detecting COVID-19 infection hotspots in England using large-scale self-reported data from a mobile application: a prospective, observational study. Lancet Public Health. 2021 01; 6(1):e21-e29.
Score: 0.057
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NiftyNet: a deep-learning platform for medical imaging. Comput Methods Programs Biomed. 2018 May; 158:113-122.
Score: 0.047