作者
Harry A. Thorpe,Maiju Pesonen,Marta Corbella,Henri Pesonen,Stefano Gaiarsa,Christine J. Boinett,Gerry Tonkin‐Hill,Tommi Mäklin,Anna K. Pöntinen,Neil MacAlasdair,Rebecca A. Gladstone,Sergio Arredondo-Alonso,Teemu Kallonen,Dorota Jamrozy,Stephanie Lo,Chrispin Chaguza,Grace A. Blackwell,Antti Honkela,Anita C. Schürch,Rob J. L. Willems,Cristina Merla,Greta Petazzoni,Edward J. Feil,Patrizia Cambieri,Nicholas R. Thomson,Stephen D. Bentley,Davide Sassera,Jukka Corander
摘要
Nosocomial infections pose a considerable risk to patients who are susceptible, and this is particularly acute in intensive care units when hospital-associated bacteria are endemic. During the first wave of the COVID-19 pandemic, the surge of patients presented a significant obstacle to the effectiveness of infection control measures. We aimed to assess the risks and extent of nosocomial pathogen transmission under a high patient burden by designing a novel bacterial pan-pathogen deep-sequencing approach that could be integrated with standard clinical surveillance and diagnostics workflows.