Screening healthcare workers could serve as early warning system for future viruses
2021-05-03
(Press-News.org) New research has shown that COVID-19 infections in healthcare workers during the first wave of the pandemic provided an accurate sample of the general population, suggesting that data from healthcare workers could be used to estimate the severity of future viruses more quickly.
The study, led by researchers from RCSI University of Medicine and Health Sciences in collaboration with IBM Research, is published in PLOS ONE.
The researchers analysed the infection data from healthcare workers and the progression of the first wave of the COVID-19 outbreak using the reported daily infection numbers in Ireland. Using similar data in four other countries (Germany, UK, South Korea and Iceland), computer models showed how the disease progressed in different countries related to their approach to testing, tracing and lockdown restrictions.
Healthcare workers in Ireland made up 31.6% of all test-confirmed infections while only representing 3% of the population. However, the researchers found that the healthcare worker data closely related to that of the entire population after using software to create a more accurate picture of how widespread the disease was.
This suggests that governments could use data from only healthcare workers to inform decisions on whether to implement restrictions, wide-scale testing and contact tracing for future viruses.
"As we have seen with the COVID-19 pandemic, implementing countermeasures early can save lives and reduce the spread of the disease," said RCSI Professor of Chemistry Donal O'Shea, who led the work.
"However, wide-scale testing can take time to set up, delaying decisions and costing lives. While the healthcare population is no longer an accurate sample of the general population for COVID-19 due to different vaccination rates, governments could use data from their healthcare worker population to make informed decisions on what measures to implement earlier when future viruses emerge."
The research noted that very few nations were able to set up effective systems that tested the entire population, carried out contact tracing and quarantined those infected with COVID-19.
"Setting up wide-scale testing systems for healthcare workers is much easier than setting up a similar programme for everyone since the infrastructure for testing for diseases is always in place in healthcare settings," said Dr Dan Wu, honorary lecturer in the RCSI Department of Chemistry and first author on the paper.
"A screening programme that tested all healthcare workers would have the additional benefit of catching asymptomatic spread of the disease since all healthcare workers would be tested. If governments could catch highly infectious diseases and implement countermeasures early, this could possibly prevent new viruses from erupting into another epidemic/pandemic."
INFORMATION:
About RCSI University of Medicine and Health Sciences
RCSI University of Medicine and Health Sciences is a world-leading university for Good Health and Well-being. Ranked second in the world for its contribution to UN Sustainable Development Goal 3 in the Times Higher Education Impact Rankings 2021, it is exclusively focused on education and research to drive improvements in human health worldwide.
RCSI is an international not-for-profit university, headquartered in Dublin. It is among the top 250 universities worldwide in the World University Rankings (2020) and its research is ranked first in Ireland for citations. RCSI has been awarded Athena Swan Bronze accreditation for positive gender practice in higher education.
Visit the RCSI MyHealth Expert Directory to find the details of our experts across a range of healthcare issues and concerns. Recognising their responsibility to share their knowledge and discoveries to empower people with information that leads them to better health, these clinicians and researchers are willing to engage with the media in their area of expertise.
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[Press-News.org] Screening healthcare workers could serve as early warning system for future viruses
