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Molecular characteristics and successful management of a respiratory syncytial virus outbreak among pediatric patients with hemato-oncological disease

Overview of attention for article published in Antimicrobial Resistance and Infection Control, February 2018
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Mentioned by

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4 tweeters

Citations

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1 Dimensions

Readers on

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42 Mendeley
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Title
Molecular characteristics and successful management of a respiratory syncytial virus outbreak among pediatric patients with hemato-oncological disease
Published in
Antimicrobial Resistance and Infection Control, February 2018
DOI 10.1186/s13756-018-0316-2
Pubmed ID
Authors

Claas Baier, Sibylle Haid, Andreas Beilken, Astrid Behnert, Martin Wetzke, Richard J. P. Brown, Corinna Schmitt, Ella Ebadi, Gesine Hansen, Thomas F. Schulz, Thomas Pietschmann, Franz-Christoph Bange

Abstract

Respiratory syncytial virus (RSV) is responsible for upper and lower respiratory tract infection in adults and children. Especially immunocompromised patients are at high risk for a severe course of infection, and mortality is increased. Moreover RSV can spread in healthcare settings and can cause outbreaks. Herein we demonstrate the successful control and characteristics of a RSV outbreak that included 8 patients in our Department of Pediatric Hematology and Oncology. We performed an epidemiologic investigation and a molecular analysis of the outbreak strains. Moreover we present the outbreak control bundle and our concept for RSV screening in the winter season. RSV A and B strains caused the outbreak. RSV B strains affected 3 patients, 2 of whom were co-infected with RSV A. Exactly this RSV A strain was detected in another 5 patients. Our multimodal infection control bundle including prophylactic RSV screening was able to rapidly stop the outbreak. An infection control bundle in RSV outbreaks should address all potential transmission pathways. In pediatric settings the restriction of social activities might have a temporal negative impact on quality of life but helps to limit transmission opportunities. Molecular analysis allows better understanding of RSV outbreaks and, if done in a timely manner, might be helpful for guidance of infection control measures.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 14%
Student > Bachelor 5 12%
Researcher 4 10%
Other 4 10%
Student > Ph. D. Student 4 10%
Other 10 24%
Unknown 9 21%
Readers by discipline Count As %
Medicine and Dentistry 11 26%
Immunology and Microbiology 3 7%
Nursing and Health Professions 3 7%
Agricultural and Biological Sciences 2 5%
Biochemistry, Genetics and Molecular Biology 2 5%
Other 7 17%
Unknown 14 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 July 2019.
All research outputs
#9,064,476
of 15,467,979 outputs
Outputs from Antimicrobial Resistance and Infection Control
#619
of 860 outputs
Outputs of similar age
#183,070
of 369,197 outputs
Outputs of similar age from Antimicrobial Resistance and Infection Control
#3
of 3 outputs
Altmetric has tracked 15,467,979 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 860 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.2. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 369,197 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.