Dataset Information

Epidemiology of Seasonal Coronaviruses: Establishing the Context for the Emergence of Coronavirus Disease 2019.

ABSTRACT: Public health preparedness for coronavirus (CoV) disease 2019 (COVID-19) is challenging in the absence of setting-specific epidemiological data. Here we describe the epidemiology of seasonal CoVs (sCoVs) and other cocirculating viruses in the West of Scotland, United Kingdom. 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.

SUBMITTER: Nickbakhsh S

PROVIDER: S-EPMC7184404 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Epidemiology of Seasonal Coronaviruses: Establishing the Context for the Emergence of Coronavirus Disease 2019.

Nickbakhsh Sema S Ho Antonia A Marques Diogo F P DFP McMenamin Jim J Gunson Rory N RN Murcia Pablo R PR

The Journal of infectious diseases 20200601 1

Public health preparedness for coronavirus (CoV) disease 2019 (COVID-19) is challenging in the absence of setting-specific epidemiological data. Here we describe the epidemiology of seasonal CoVs (sCoVs) and other cocirculating viruses in the West of Scotland, United Kingdom. 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 C ...[more]

PMID: 32296837

Similar Datasets

Project description:Background/purposeWe aimed to describe the epidemiology of trauma activations and variations in injury patterns, injury severity, and hospital length-of-stay for injured children in Los Angeles (LA) County during the coronavirus-disease-19 (COVID-19) pandemic.MethodsWe conducted a retrospective cross-sectional study of children aged < 18-years evaluated in 15 trauma centers from 2019 to 2020 and entered in the LA County trauma registry. We defined 01/01/2019-03/18/2020 as pre-pandemic and 03/19/2020-12/31/2020 as the pandemic period. Our primary outcome was pediatric trauma activations. We analyzed demographic and clinical data, including types and severity of injuries sustained. We conducted unadjusted bivariate analyzes of injury patterns between periods. Segmented linear regression models were used to test rates (per 100,000 LA County children) of trauma activations pre-pandemic versus the pandemic period.ResultsWe studied 4399 children with trauma activations, 2695 of which occurred pre-pandemic and 1701 in the pandemic period. Motor vehicle collisions, gunshot wounds, and burns increased during the pandemic (all p-values< 0.05), while sports injuries decreased (p < 0.001). Median injury severity scores (p = 0.323) and Glasgow Coma Scales (p = 0.558) did not differ between periods, however mortality (p = 0.023) decreased during the pandemic. Segmented linear regression estimates demonstrated that rates of trauma activations pre-pandemic were similar to the pandemic period (p = 0.384).ConclusionPediatric trauma activations in LA County did not significantly differ during the COVID-19 pandemic, but types and severity of injuries varied between pre-pandemic and pandemic periods. With lockdown restrictions being lifted and novel SARS-CoV-2 variants circulating, our investigation describes this recent epidemiologic phenomenon to aid future preparation for healthcare systems.Level of evidenceLevel III TYPE OF STUDY: Retrospective cross-sectional study.

Dataset Information

Epidemiology of Seasonal Coronaviruses: Establishing the Context for the Emergence of Coronavirus Disease 2019.

Publications

Epidemiology of Seasonal Coronaviruses: Establishing the Context for the Emergence of Coronavirus Disease 2019.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets