Publications by authors named "C J Bergin"

Introduction: Repeated COVID-19 booster vaccination was recommended in healthcare workers (HCWs) to maintain protection. We measured the relative vaccine effectiveness (rVE) of the second booster dose of COVID-19 vaccine compared to the first booster, against laboratory-confirmed SARS-CoV-2 infection in HCWs.

Methods: In a prospective cohort study among HCWs from 12 European hospitals, we collected nasopharyngeal or saliva samples at enrolment and during weekly/fortnightly follow-up between October 2022 and May 2023.

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Background: The escalating climate crisis poses a significant threat to global public health. The healthcare sector, designed to protect human health is a major contributor to greenhouse gas emissions, and thus, a key driver of climate degradation. This paradox endangers both planetary and human health, making the decarbonization of healthcare, including primary care, critical.

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European countries have included healthcare workers (HCWs) among priority groups for COVID-19 vaccination. We established a multi-country hospital network to measure the SARS-CoV-2 incidence and effectiveness of COVID-19 vaccines among HCWs against laboratory-confirmed SARS-CoV-2 infection. HCWs from 19 hospitals in 10 countries participated in a dynamic prospective cohort study, providing samples for SARS-CoV-2 testing at enrolment and during weekly/fortnightly follow-up.

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Article Synopsis
  • A study assessed the effectiveness of the autumn 2023 COVID-19 vaccination in 1,305 healthcare workers across 13 European hospitals against confirmed SARS-CoV-2 infections.
  • Overall, the vaccine effectiveness was found to be 22%, with a notable difference in effectiveness before and after the predominant circulation of specific variants (BA.2.86/JN.1).
  • The findings suggest that the autumn 2023 vaccination resulted in only a moderate-to-low reduction in infection rates among healthcare workers, emphasizing the need for ongoing monitoring of vaccine effectiveness for better COVID-19 prevention strategies.
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Article Synopsis
  • * The study analyzed 5211 OCT scans from 344 eyes of 255 patients with CSCR, identifying 178 recurrent and 109 non-recurrent cases, using advanced AI techniques to extract relevant parameters.
  • * Nine predictive biomarkers for CSCR recurrence were found, including age, various fluid types, and specific retinal layer thicknesses, which could enhance automatic detection and improve clinical outcomes in the future.
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