| 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. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 33% |
| United Kingdom | 1 | 33% |
| United States | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 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 | 63 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 20% |
| Student > Bachelor | 8 | 12% |
| Student > Ph. D. Student | 7 | 11% |
| Student > Postgraduate | 4 | 6% |
| Student > Master | 4 | 6% |
| Other | 11 | 17% |
| Unknown | 18 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 10 | 15% |
| Agricultural and Biological Sciences | 7 | 11% |
| Medicine and Dentistry | 5 | 8% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Computer Science | 3 | 5% |
| Other | 8 | 12% |
| Unknown | 28 | 43% |
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 23 August 2020.
All research outputs
#14,954,426
of 25,046,511 outputs
Outputs from Scientific Reports
#68,865
of 137,546 outputs
Outputs of similar age
#82,980
of 118,961 outputs
Outputs of similar age from Scientific Reports
#27
of 40 outputs
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