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The Influence of Meteorology on the Spread of Influenza: Survival Analysis of an Equine Influenza (A/H3N8) Outbreak

Overview of attention for article published in PLOS ONE, April 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
twitter
6 X users
facebook
3 Facebook pages

Citations

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40 Dimensions

Readers on

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74 Mendeley
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Title
The Influence of Meteorology on the Spread of Influenza: Survival Analysis of an Equine Influenza (A/H3N8) Outbreak
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0035284
Pubmed ID
Authors

Simon M. Firestone, Naomi Cogger, Michael P. Ward, Jenny-Ann L. M. L. Toribio, Barbara J. Moloney, Navneet K. Dhand

Abstract

The influences of relative humidity and ambient temperature on the transmission of influenza A viruses have recently been established under controlled laboratory conditions. The interplay of meteorological factors during an actual influenza epidemic is less clear, and research into the contribution of wind to epidemic spread is scarce. By applying geostatistics and survival analysis to data from a large outbreak of equine influenza (A/H3N8), we quantified the association between hazard of infection and air temperature, relative humidity, rainfall, and wind velocity, whilst controlling for premises-level covariates. The pattern of disease spread in space and time was described using extraction mapping and instantaneous hazard curves. Meteorological conditions at each premises location were estimated by kriging daily meteorological data and analysed as time-lagged time-varying predictors using generalised Cox regression. Meteorological covariates time-lagged by three days were strongly associated with hazard of influenza infection, corresponding closely with the incubation period of equine influenza. Hazard of equine influenza infection was higher when relative humidity was <60% and lowest on days when daily maximum air temperature was 20-25°C. Wind speeds >30 km hour(-1) from the direction of nearby infected premises were associated with increased hazard of infection. Through combining detailed influenza outbreak and meteorological data, we provide empirical evidence for the underlying environmental mechanisms that influenced the local spread of an outbreak of influenza A. Our analysis supports, and extends, the findings of studies into influenza A transmission conducted under laboratory conditions. The relationships described are of direct importance for managing disease risk during influenza outbreaks in horses, and more generally, advance our understanding of the transmission of influenza A viruses under field conditions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Brazil 1 1%
Unknown 71 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 19%
Student > Master 11 15%
Student > Ph. D. Student 6 8%
Student > Bachelor 6 8%
Student > Postgraduate 5 7%
Other 18 24%
Unknown 14 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 26%
Veterinary Science and Veterinary Medicine 8 11%
Medicine and Dentistry 8 11%
Environmental Science 5 7%
Earth and Planetary Sciences 4 5%
Other 12 16%
Unknown 18 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 29 November 2021.
All research outputs
#2,439,983
of 25,218,929 outputs
Outputs from PLOS ONE
#29,965
of 218,798 outputs
Outputs of similar age
#14,211
of 167,032 outputs
Outputs of similar age from PLOS ONE
#485
of 3,729 outputs
Altmetric has tracked 25,218,929 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 218,798 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done well, scoring higher than 86% 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 167,032 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 91% of its contemporaries.
We're also able to compare this research output to 3,729 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.