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Evaluation of Targeted Influenza Vaccination Strategies via Population Modeling

Overview of attention for article published in PLOS ONE, September 2010
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Title
Evaluation of Targeted Influenza Vaccination Strategies via Population Modeling
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

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

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%