It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Breakthrough infections with SARS-CoV-2 Delta variant have been reported in doubly-vaccinated recipients and as re-infections. Studies of viral spread within hospital settings have highlighted the potential for transmission between doubly-vaccinated patients and health care workers and have highlighted the benefits of high-grade respiratory protection for health care workers. However the extent to which vaccination is preventative of viral spread in health care settings is less well studied. Here, we analysed data from 118 vaccinated health care workers (HCW) across two hospitals in India, constructing two probable transmission networks involving six HCWs in Hospital A and eight HCWs in Hospital B from epidemiological and virus genome sequence data, using a suite of computational approaches. A maximum likelihood reconstruction of transmission involving known cases of infection suggests a high probability that doubly vaccinated HCWs transmitted SARS-CoV-2 between each other and highlights potential cases of virus transmission between individuals who had received two doses of vaccine. Our findings show firstly that vaccination may reduce rates of transmission, supporting the need for ongoing infection control measures even in highly vaccinated populations, and secondly we have described a novel approach to identifying transmissions that is scalable and rapid, without the need for an infection control infrastructure.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
1 Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID), Cambridge, UK; University of Cambridge, Department of Medicine, Cambridge, UK (GRID:grid.5335.0) (ISNI:0000000121885934)
2 Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID), Cambridge, UK (GRID:grid.5335.0)
3 University of Cambridge, Department of Medicine, Cambridge, UK (GRID:grid.5335.0) (ISNI:0000000121885934)
4 Public Health Agency of Canada, National Microbiology Laboratory, Winnipeg, Canada (GRID:grid.415368.d) (ISNI:0000 0001 0805 4386)
5 Department of Biotechnology, Delhi, India (GRID:grid.415368.d)
6 National Centre for Disease Control, Delhi, India (GRID:grid.419568.7) (ISNI:0000 0001 0086 9601)
7 CSIR Institute of Genomics and Integrative Biology, Delhi, India (GRID:grid.417639.e)
8 MRC - University of Glasgow Centre for Virus Research, Garscube Campus, Glasgow, UK (GRID:grid.301713.7) (ISNI:0000 0004 0393 3981); University of Cambridge, MRC Biostatistics Unit, Cambridge, UK (GRID:grid.5335.0) (ISNI:0000000121885934); University of Cambridge, Department of Applied Mathematics and Theoretical Physics, Cambridge, UK (GRID:grid.5335.0) (ISNI:0000000121885934)
9 Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID), Cambridge, UK (GRID:grid.5335.0); University of Cambridge, Department of Medicine, Cambridge, UK (GRID:grid.5335.0) (ISNI:0000000121885934); Africa Health Research Institute, Durban, South Africa (GRID:grid.488675.0) (ISNI:0000 0004 8337 9561); Jeffrey Cheah Biomedical Centre, Cambridge, UK (GRID:grid.488675.0)