2021
DOI: 10.7554/elife.67308
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Superspreaders drive the largest outbreaks of hospital onset COVID-19 infections

Abstract: SARS-CoV-2 is notable both for its rapid spread, and for the heterogeneity of its patterns of transmission, with multiple published incidences of superspreading behaviour. Here, we applied a novel network reconstruction algorithm to infer patterns of viral transmission occurring between patients and health care workers (HCWs) in the largest clusters of COVID-19 infection identified during the first wave of the epidemic at Cambridge University Hospitals NHS Foundation Trust, UK. Based upon dates of individuals … Show more

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Cited by 41 publications
(36 citation statements)
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“…Other drivers of SARS-CoV-2 transmissions in the hospital setting not fully explained by infection pressures, which we did not capture in the analysis, may include variation in ward occupancy, community-acquired cases who did not develop symptoms until after hospitalisation, change in nature or frequency of SARS-CoV-2 exposures throughout hospitalisation, or could reflect frailties, i.e., those patients who have stayed 20 days and not been infected may be at lower risk of infection. However, recent work using detailed epidemiological and genomic data to infer transmission networks echoed our main finding that patients are more likely to be infected by other patients than by HCWs [ 29 , 30 ].…”
Section: Discussionmentioning
confidence: 74%
“…Other drivers of SARS-CoV-2 transmissions in the hospital setting not fully explained by infection pressures, which we did not capture in the analysis, may include variation in ward occupancy, community-acquired cases who did not develop symptoms until after hospitalisation, change in nature or frequency of SARS-CoV-2 exposures throughout hospitalisation, or could reflect frailties, i.e., those patients who have stayed 20 days and not been infected may be at lower risk of infection. However, recent work using detailed epidemiological and genomic data to infer transmission networks echoed our main finding that patients are more likely to be infected by other patients than by HCWs [ 29 , 30 ].…”
Section: Discussionmentioning
confidence: 74%
“…Airborne dissemination is likely an important transmission route for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) [ 1 ], with SARS-CoV-2 RNA detected in air samples from coronavirus disease 2019 (COVID-19) wards [ 1 , 2 ]. Despite the use of personal protective equipment (PPE), there are multiple reports of patient-to-healthcare worker transmission of SARS-CoV-2 [ 3 ], potentially through the inhalation of viral particles [ 4 ]. There is a need to improve the safety for healthcare workers and patients by decreasing airborne transmission of SARS-CoV-2 [ 4 ].…”
mentioning
confidence: 99%
“…by preventing asymptomatically infected health care workers infecting patients, reported as 9%. 8 The data presented demonstrate that the measures associated with RPE implementation, likely involving improvements to ventilation and air filtration, are associated with a 21% and 33% relative reduction in odds of hospital-acquired COVID-19 for the Alpha and Delta waves respectively.…”
Section: Discussionmentioning
confidence: 80%