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Continental synchronicity of human influenza virus epidemics despite climactic variation

Overview of attention for article published in PLoS Pathogens, January 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
9 news outlets
blogs
1 blog
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11 X users
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1 Facebook page

Readers on

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74 Mendeley
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Article details
Title
Continental synchronicity of human influenza virus epidemics despite climactic variation
Published in
PLoS Pathogens, January 2018
DOI 10.1371/journal.ppat.1006780
Pubmed ID
Authors
Abstract

The factors that determine the pattern and rate of spread of influenza virus at a continental-scale are uncertain. Although recent work suggests that influenza epidemics in the United States exhibit a strong geographical correlation, the spatiotemporal dynamics of influenza in Australia, a country and continent of approximately similar size and climate complexity but with a far smaller population, are not known. Using a unique combination of large-scale laboratory-confirmed influenza surveillance comprising >450,000 entries and genomic sequence data we determined the local-level spatial diffusion of this important human pathogen nationwide in Australia. We used laboratory-confirmed influenza data to characterize the spread of influenza virus across Australia during 2007-2016. The onset of established epidemics varied across seasons, with highly synchronized epidemics coinciding with the emergence of antigenically distinct viruses, particularly during the 2009 A/H1N1 pandemic. The onset of epidemics was largely synchronized between the most populous cities, even those separated by distances of >3000 km and those that experience vastly diverse climates. In addition, by analyzing global phylogeographic patterns we show that the synchronized dissemination of influenza across Australian cities involved multiple introductions from the global influenza population, coupled with strong domestic connectivity, rather than through the distinct radial patterns of geographic dispersal that are driven by work-flow transmission as observed in the United States. In addition, by comparing the spatial structure of influenza A and B, we found that these viruses tended to occupy different geographic regions, and peak in different seasons, perhaps indicative of moderate cross-protective immunity or viral interference effects. The highly synchronized outbreaks of influenza virus at a continental-scale revealed here highlight the importance of coordinated public health responses in the event of the emergence of a novel, human-to-human transmissible, virus.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 15 20%
Student > Ph. D. Student 13 18%
Student > Bachelor 9 12%
Student > Master 8 11%
Student > Doctoral Student 3 4%
Other 9 12%
Unknown 17 23%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 12 16%
Medicine and Dentistry 6 8%
Immunology and Microbiology 6 8%
Biochemistry, Genetics and Molecular Biology 4 5%
Social Sciences 3 4%
Other 20 27%
Unknown 23 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 77. 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 23 January 2023.
All research outputs
#707,945
of 34,411,289 outputs
Outputs from PLoS Pathogens
#466
of 11,218 outputs
Outputs of similar age
#12,590
of 497,873 outputs
Outputs of similar age from PLoS Pathogens
#14
of 187 outputs
Altmetric has tracked 34,411,289 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,218 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.5. This one has done particularly well, scoring higher than 95% 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 497,873 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 97% of its contemporaries.
We're also able to compare this research output to 187 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 92% of its contemporaries.