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Epidemiology of seasonal coronaviruses: Establishing the context for COVID-19 emergence
Sema Nickbakhsh; Antonia Ho; Diogo F.P. Marques; Jim McMenamin; Rory R. Gunson; Pablo Murcia.
Affiliation
  • Sema Nickbakhsh; MRC-University of Glasgow Centre for Virus Research
  • Antonia Ho; MRC-University of Glasgow Centre for Virus Research
  • Diogo F.P. Marques; Health Protection Scotland, NHS National Services Scotland
  • Jim McMenamin; Health Protection Scotland, NHS National Services Scotland
  • Rory R. Gunson; West of Scotland Specialist Virology Centre, NHS Greater Glasgow and Clyde
  • Pablo Murcia; MRC-University of Glasgow Centre for Virus Research
Preprint in En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20037101
ABSTRACT
Public health preparedness for coronavirus disease 2019 (COVID-19) is challenging in the absence of setting-specific epidemiological data. Here we describe the epidemiology of seasonal human coronaviruses (sCoVs) and other cocirculating viruses in the West of Scotland, UK. We analyzed routine diagnostic data for >70,000 episodes of respiratory illness tested molecularly for multiple respiratory viruses between 2005 and 2017. Statistical associations with patient age and sex differed between CoV-229E, CoV-OC43 and CoV-NL63. Furthermore, the timing and magnitude of sCoV outbreaks did not occur concurrently and coinfections were not reported. With respect to other cocirculating respiratory viruses, we found evidence of positive, rather than negative, interactions with sCoVs. These findings highlight the importance of considering cocirculating viruses in the differential diagnosis of COVID-19. Further work is needed to establish the occurrence/degree of cross-protective immunity conferred across sCoVs and with COVID-19, as well as the role of viral coinfection in COVID-19 disease severity.
License
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Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Rct Language: En Year: 2020 Document type: Preprint
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Rct Language: En Year: 2020 Document type: Preprint