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Modeling and Statistical Analysis of the Spatio-Temporal Patterns of Seasonal Influenza in Israel

Overview of attention for article published in PLOS ONE, October 2012
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Title
Modeling and Statistical Analysis of the Spatio-Temporal Patterns of Seasonal Influenza in Israel
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0045107
Pubmed ID
Authors

Amit Huppert, Oren Barnea, Guy Katriel, Rami Yaari, Uri Roll, Lewi Stone

Abstract

Seasonal influenza outbreaks are a serious burden for public health worldwide and cause morbidity to millions of people each year. In the temperate zone influenza is predominantly seasonal, with epidemics occurring every winter, but the severity of the outbreaks vary substantially between years. In this study we used a highly detailed database, which gave us both temporal and spatial information of influenza dynamics in Israel in the years 1998-2009. We use a discrete-time stochastic epidemic SIR model to find estimates and credible confidence intervals of key epidemiological parameters.

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Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 1%
Israel 1 1%
United Kingdom 1 1%
Romania 1 1%
Japan 1 1%
United States 1 1%
Unknown 76 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 24%
Researcher 16 20%
Student > Master 11 13%
Professor > Associate Professor 5 6%
Professor 5 6%
Other 15 18%
Unknown 10 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 17%
Medicine and Dentistry 14 17%
Mathematics 12 15%
Computer Science 6 7%
Environmental Science 4 5%
Other 15 18%
Unknown 17 21%