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Construction of the influenza A virus transmission tree in a college-based population: co-transmission and interactions between influenza A viruses

Overview of attention for article published in BMC Infectious Diseases, January 2016
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Title
Construction of the influenza A virus transmission tree in a college-based population: co-transmission and interactions between influenza A viruses
Published in
BMC Infectious Diseases, January 2016
DOI 10.1186/s12879-016-1373-x
Pubmed ID
Authors

Xu-Sheng Zhang, Daniela De Angelis

Abstract

Co-infection of different influenza A viruses is known to occur but how viruses interact within co-infection remains unknown. An outbreak in a college campus during the 2009 pandemic involved two subtypes of influenza A: persons infected with pandemic A/H1N1; persons infected with seasonal A/H3N2 viruses; and persons infected with both at the same time (co-infection). This provides data to analyse the possible interaction between influenza A viruses within co-infection. We extend a statistical inference method designed for outbreaks caused by one virus to that caused by two viruses. The method uses knowledge of which subtype each case is infected with (and whether they were co-infected), contact information and symptom onset date of each case in the influenza outbreak. We then apply it to construct the most likely transmission tree during the outbreak in the college campus. Analysis of the constructed transmission tree shows that the simultaneous presence of the two influenza viruses increases the infectivity and the transmissibility of A/H1N1 virus but whether it changes the infectivity of A/H3N2 is unclear. The estimation also shows that co-transmission of both subtypes from co-infection is low and therefore co-infection cannot be sustained on its own. This study suggests that influenza A viruses within co-infected patients can interact in some ways rather than transmit independently, and this can enhance the spread of influenza A virus infection.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 24%
Student > Doctoral Student 3 14%
Student > Bachelor 3 14%
Student > Ph. D. Student 2 10%
Student > Master 2 10%
Other 4 19%
Unknown 2 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 24%
Medicine and Dentistry 4 19%
Veterinary Science and Veterinary Medicine 2 10%
Mathematics 2 10%
Environmental Science 1 5%
Other 4 19%
Unknown 3 14%
Attention Score in Context

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 03 February 2016.
All research outputs
#14,834,028
of 22,842,950 outputs
Outputs from BMC Infectious Diseases
#4,082
of 7,683 outputs
Outputs of similar age
#220,869
of 396,349 outputs
Outputs of similar age from BMC Infectious Diseases
#64
of 100 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,683 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 42nd percentile – i.e., 42% 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 396,349 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.