Variation in global COVID-19 symptoms by geography and by chronic disease: A global survey using the COVID-19 Symptom Mapper.

Kadirvelu, Balasundaram; Burcea, Gabriel; Quint, Jennifer K; Costelloe, Ceire E; Faisal, A Aldo

Kadirvelu, Balasundaram; Burcea, Gabriel; Quint, Jennifer K; Costelloe, Ceire E; Faisal, A Aldo.

Afiliação

Kadirvelu B; Brain & Behaviour Lab, Dept. Of Computing, Imperial College London, London, UK.
Burcea G; Global Digital Health Unit, School of Public Health, Imperial College London, London, UK.
Quint JK; National Heart and Lung Institute, Imperial College London, London, UK.
Costelloe CE; Global Digital Health Unit, School of Public Health, Imperial College London, London, UK.
Faisal AA; Brain & Behaviour Lab, Dept. Of Computing & Dept. Of Bioengineering, UKRI Centre for Doctoral Training in AI for Healthcare, and the Global Covid Observatory, Imperial College London, UK and MRC London Institute for Medical Sciences, London, UK.

EClinicalMedicine ; 45: 101317, 2022 Mar.

Article em En | MEDLINE | ID: mdl-35265823

Palavras-chave

COVID symptom profile; COVID symptoms mapper; COVID symptoms survey; COVID-19; COVID-19 symptoms; COVID-19, The Coronavirus Disease that first appeared in 2019 caused by the SARS-CoV-2 coronavirus.; Comorbidities; PCR, Polymerase chain reaction; WHO, World Health Organization, a specialized agency of the United Nations responsible for international public health.

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: EClinicalMedicine Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido

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