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Strategies for mitigating an influenza pandemic

Overview of attention for article published in Nature, April 2006
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Citations

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1833 Dimensions

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1324 Mendeley
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8 CiteULike
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8 Connotea
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Title
Strategies for mitigating an influenza pandemic
Published in
Nature, April 2006
DOI 10.1038/nature04795
Pubmed ID
Authors

Neil M. Ferguson, Derek A. T. Cummings, Christophe Fraser, James C. Cajka, Philip C. Cooley, Donald S. Burke

Abstract

Development of strategies for mitigating the severity of a new influenza pandemic is now a top global public health priority. Influenza prevention and containment strategies can be considered under the broad categories of antiviral, vaccine and non-pharmaceutical (case isolation, household quarantine, school or workplace closure, restrictions on travel) measures. Mathematical models are powerful tools for exploring this complex landscape of intervention strategies and quantifying the potential costs and benefits of different options. Here we use a large-scale epidemic simulation to examine intervention options should initial containment of a novel influenza outbreak fail, using Great Britain and the United States as examples. We find that border restrictions and/or internal travel restrictions are unlikely to delay spread by more than 2-3 weeks unless more than 99% effective. School closure during the peak of a pandemic can reduce peak attack rates by up to 40%, but has little impact on overall attack rates, whereas case isolation or household quarantine could have a significant impact, if feasible. Treatment of clinical cases can reduce transmission, but only if antivirals are given within a day of symptoms starting. Given enough drugs for 50% of the population, household-based prophylaxis coupled with reactive school closure could reduce clinical attack rates by 40-50%. More widespread prophylaxis would be even more logistically challenging but might reduce attack rates by over 75%. Vaccine stockpiled in advance of a pandemic could significantly reduce attack rates even if of low efficacy. Estimates of policy effectiveness will change if the characteristics of a future pandemic strain differ substantially from those seen in past pandemics.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,324 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 22 2%
United Kingdom 15 1%
Brazil 4 <1%
France 3 <1%
Italy 3 <1%
Australia 3 <1%
Kenya 2 <1%
Vietnam 2 <1%
Switzerland 2 <1%
Other 19 1%
Unknown 1249 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 237 18%
Student > Ph. D. Student 223 17%
Student > Master 171 13%
Student > Bachelor 119 9%
Professor > Associate Professor 72 5%
Other 270 20%
Unknown 232 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 202 15%
Medicine and Dentistry 170 13%
Engineering 79 6%
Mathematics 76 6%
Social Sciences 73 6%
Other 417 31%
Unknown 307 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 801. 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 02 May 2023.
All research outputs
#23,969
of 25,738,558 outputs
Outputs from Nature
#2,302
of 98,639 outputs
Outputs of similar age
#15
of 85,188 outputs
Outputs of similar age from Nature
#2
of 487 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 98,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.7. This one has done particularly well, scoring higher than 97% 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 85,188 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 99% of its contemporaries.
We're also able to compare this research output to 487 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 99% of its contemporaries.