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Combined effects of prevention and quarantine on a breakout in SIR model

Overview of attention for article published in Scientific Reports, June 2011
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)

Mentioned by

twitter
4 tweeters

Citations

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14 Dimensions

Readers on

mendeley
57 Mendeley
Title
Combined effects of prevention and quarantine on a breakout in SIR model
Published in
Scientific Reports, June 2011
DOI 10.1038/srep00010
Pubmed ID
Authors

Fuminori Kato, Kei-ichi Tainaka, Shogo Sone, Satoru Morita, Hiroyuki Iida, Jin Yoshimura

Abstract

Recent breakouts of several epidemics, such as flu pandemics, are serious threats to human health. The measures of protection against these epidemics are urgent issues in epidemiological studies. Prevention and quarantine are two major approaches against disease spreads. We here investigate the combined effects of these two measures of protection using the SIR model. We use site percolation for prevention and bond percolation for quarantine applying on a lattice model. We find a strong synergistic effect of prevention and quarantine under local interactions. A slight increase in protection measures is extremely effective in the initial disease spreads. Combination of the two measures is more effective than a single protection measure. Our results suggest that the protection policy against epidemics should account for both prevention and quarantine measures simultaneously.

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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 2%
Vietnam 1 2%
Unknown 55 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 21%
Student > Bachelor 8 14%
Student > Ph. D. Student 7 12%
Professor > Associate Professor 3 5%
Student > Master 3 5%
Other 10 18%
Unknown 14 25%
Readers by discipline Count As %
Physics and Astronomy 10 18%
Agricultural and Biological Sciences 7 12%
Medicine and Dentistry 4 7%
Biochemistry, Genetics and Molecular Biology 3 5%
Computer Science 2 4%
Other 8 14%
Unknown 23 40%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 August 2020.
All research outputs
#6,391,009
of 19,695,594 outputs
Outputs from Scientific Reports
#42,394
of 105,273 outputs
Outputs of similar age
#57,045
of 174,346 outputs
Outputs of similar age from Scientific Reports
#2
of 2 outputs
Altmetric has tracked 19,695,594 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 105,273 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.2. This one has gotten more attention than average, scoring higher than 58% 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 174,346 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.