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| Content Provider | PubMed Central |
|---|---|
| Author | Saito, Masaya M. Imoto, Seiya Yamaguchi, Rui Tsubokura, Masaharu Kami, Masahiro Nakada, Haruka Sato, Hiroki Miyano, Satoru Higuchi, Tomoyuki |
| Editor | Boni, Maciej F. |
| Copyright Year | 2013 |
| Abstract | Vaccination is a preventive measure against influenza that does not require placing restrictions on social activities. However, since the stockpile of vaccine that can be prepared before the arrival of an emerging pandemic strain is generally quite limited, one has to select priority target groups to which the first stockpile is distributed. In this paper, we study a simulation-based priority target selection method with the goal of enhancing the collective immunity of the whole population. To model the region in which the disease spreads, we consider an urban area composed of suburbs and central areas connected by a single commuter train line. Human activity is modelled following an agent-based approach. The degree to which collective immunity is enhanced is judged by the attack rate in unvaccinated people. The simulation results show that if students and office workers are given exclusive priority in the first three months, the attack rate can be reduced from in the baseline case down to 1–2%. In contrast, random vaccination only slightly reduces the attack rate. It should be noted that giving preference to active social groups does not mean sacrificing those at high risk, which corresponds to the elderly in our simulation model. Compared with the random administration of vaccine to all social groups, this design successfully reduces the attack rate across all age groups. |
| Related Links | http://dx.doi.org/10.1371/journal.pone.0072866 |
| Starting Page | 72866 |
| File Format | |
| ISSN | 19326203 |
| e-ISSN | 19326203 |
| Journal | PLoS ONE |
| Issue Number | 9 |
| Volume Number | 8 |
| Language | English |
| Publisher | Public Library of Science |
| Publisher Date | 2013-09-18 |
| Access Restriction | Open |
| Rights Holder | Public Library of Science |
| Subject Keyword | Research in Higher Education |
| Content Type | Text |
| Resource Type | Article |
| Subject | Multidisciplinary |
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