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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Patient and ward related risk factors in a multi-ward nosocomial outbreak of COVID-19: Outbreak investigation and matched case–control study
|
|---|---|
| Published in |
Antimicrobial Resistance & Infection Control, March 2023
|
| DOI | 10.1186/s13756-023-01215-1 |
| Pubmed ID | |
| Authors |
Jenine Leal, Heidi M. O’Grady, Logan Armstrong, Devika Dixit, Zoha Khawaja, Kate Snedeker, Jennifer Ellison, Joyce Erebor, Peter Jamieson, Amanda Weiss, Daniel Salcedo, Kimberley Roberts, Karen Wiens, Matthew A. Croxen, Byron M. Berenger, Kanti Pabbaraju, Yi-Chan Lin, David Evans, John M. Conly |
| Abstract |
Risk factors for nosocomial COVID-19 outbreaks continue to evolve. The aim of this study was to investigate a multi-ward nosocomial outbreak of COVID-19 between 1st September and 15th November 2020, occurring in a setting without vaccination for any healthcare workers or patients. Outbreak report and retrospective, matched case-control study using incidence density sampling in three cardiac wards in an 1100-bed tertiary teaching hospital in Calgary, Alberta, Canada. Patients were confirmed/probable COVID-19 cases and contemporaneous control patients without COVID-19. COVID-19 outbreak definitions were based on Public Health guidelines. Clinical and environmental specimens were tested by RT-PCR and as applicable quantitative viral cultures and whole genome sequencing were conducted. Controls were inpatients on the cardiac wards during the study period confirmed to be without COVID-19, matched to outbreak cases by time of symptom onset dates, age within ± 15 years and were admitted in hospital for at least 2 days. Demographics, Braden Score, baseline medications, laboratory measures, co-morbidities, and hospitalization characteristics were collected on cases and controls. Univariate and multivariate conditional logistical regression was used to identify independent risk factors for nosocomial COVID-19. The outbreak involved 42 healthcare workers and 39 patients. The strongest independent risk factor for nosocomial COVID-19 (IRR 3.21, 95% CI 1.47-7.02) was exposure in a multi-bedded room. Of 45 strains successfully sequenced, 44 (97.8%) were B.1.128 and differed from the most common circulating community lineages. SARS-CoV-2 positive cultures were detected in 56.7% (34/60) of clinical and environmental specimens. The multidisciplinary outbreak team observed eleven contributing events to transmission during the outbreak. Transmission routes of SARS-CoV-2 in hospital outbreaks are complex; however multi-bedded rooms play a significant role in the transmission of SARS-CoV-2. |
X Demographics
The data shown below were collected from the profiles of 251 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 25 | 10% |
| United States | 23 | 9% |
| United Kingdom | 22 | 9% |
| Australia | 11 | 4% |
| Spain | 9 | 4% |
| India | 4 | 2% |
| Mexico | 3 | 1% |
| Curaçao | 2 | <1% |
| Germany | 2 | <1% |
| Other | 12 | 5% |
| Unknown | 138 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 209 | 83% |
| Practitioners (doctors, other healthcare professionals) | 20 | 8% |
| Scientists | 17 | 7% |
| Science communicators (journalists, bloggers, editors) | 5 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 3 | 18% |
| Researcher | 3 | 18% |
| Student > Bachelor | 2 | 12% |
| Professor > Associate Professor | 2 | 12% |
| Student > Master | 1 | 6% |
| Other | 3 | 18% |
| Unknown | 3 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 35% |
| Chemical Engineering | 1 | 6% |
| Unspecified | 1 | 6% |
| Nursing and Health Professions | 1 | 6% |
| Business, Management and Accounting | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 5 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 130. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 October 2023.
All research outputs
#311,268
of 24,946,857 outputs
Outputs from Antimicrobial Resistance & Infection Control
#23
of 1,424 outputs
Outputs of similar age
#7,367
of 409,299 outputs
Outputs of similar age from Antimicrobial Resistance & Infection Control
#2
of 38 outputs
Altmetric has tracked 24,946,857 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,424 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 409,299 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.