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Seasonal Synchronization of Influenza in the United States Older Adult Population

Overview of attention for article published in PLOS ONE, April 2010
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Title
Seasonal Synchronization of Influenza in the United States Older Adult Population
Published in
PLOS ONE, April 2010
DOI 10.1371/journal.pone.0010187
Pubmed ID
Authors

Julia B. Wenger, Elena N. Naumova

Abstract

In temperate regions, influenza epidemics occur annually with the highest activity occurring during the winter months. While seasonal dynamics of the influenza virus, such as time of onset and circulating strains, are well documented by the Centers for Disease Control and Prevention Influenza Surveillance System, an accurate prediction of timing, magnitude, and composition of circulating strains of seasonal influenza remains elusive. To facilitate public health preparedness for seasonal influenza and to obtain better insights into the spatiotemporal behavior of emerging strains, it is important to develop measurable characteristics of seasonal oscillation and to quantify the relationships between those parameters on a spatial scale. The objectives of our research were to examine the seasonality of influenza on a national and state level as well as the relationship between peak timing and intensity of influenza in the United States older adult population.

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Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Vietnam 2 3%
United Kingdom 1 1%
United States 1 1%
Israel 1 1%
Unknown 63 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 19%
Researcher 12 18%
Student > Master 10 15%
Student > Bachelor 8 12%
Professor 5 7%
Other 10 15%
Unknown 10 15%
Readers by discipline Count As %
Medicine and Dentistry 16 24%
Agricultural and Biological Sciences 12 18%
Nursing and Health Professions 5 7%
Psychology 3 4%
Mathematics 3 4%
Other 15 22%
Unknown 14 21%