Title |
Evaluation of Targeted Influenza Vaccination Strategies via Population Modeling
|
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Published in |
PLOS ONE, September 2010
|
DOI | 10.1371/journal.pone.0012777 |
Pubmed ID | |
Authors |
John Glasser, Denis Taneri, Zhilan Feng, Jen-Hsiang Chuang, Peet Tüll, William Thompson, Mary Mason McCauley, James Alexander |
Abstract |
Because they can generate comparable predictions, mathematical models are ideal tools for evaluating alternative drug or vaccine allocation strategies. To remain credible, however, results must be consistent. Authors of a recent assessment of possible influenza vaccination strategies conclude that older children, adolescents, and young adults are the optimal targets, no matter the objective, and argue for vaccinating them. Authors of two earlier studies concluded, respectively, that optimal targets depend on objectives and cautioned against changing policy. Which should we believe? |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Kenya | 1 | 1% |
India | 1 | 1% |
Taiwan | 1 | 1% |
Mexico | 1 | 1% |
United States | 1 | 1% |
Unknown | 71 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 15 | 20% |
Student > Ph. D. Student | 13 | 17% |
Student > Master | 10 | 13% |
Student > Bachelor | 6 | 8% |
Student > Doctoral Student | 5 | 7% |
Other | 16 | 21% |
Unknown | 11 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 17 | 22% |
Mathematics | 12 | 16% |
Agricultural and Biological Sciences | 8 | 11% |
Engineering | 4 | 5% |
Physics and Astronomy | 3 | 4% |
Other | 18 | 24% |
Unknown | 14 | 18% |