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Synchronicity of influenza activity within Phoenix, AZ during the 2015-2016 seasonal epidemic

Overview of attention for article published in BMC Infectious Diseases, January 2017
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Title
Synchronicity of influenza activity within Phoenix, AZ during the 2015-2016 seasonal epidemic
Published in
BMC Infectious Diseases, January 2017
DOI 10.1186/s12879-017-2197-z
Pubmed ID
Authors

James Tamerius, Jhobe Steadman, John Tamerius

Abstract

Variability in the timing of influenza epidemics has been observed across global and regional scales, but this variability has not been studied extensively at finer spatial scales. As such, the aim of this study was to test whether influenza cases were synchronized across sites and/or age-groups within a major city. We used influenza cases identified by rapid influenza tests from a network of clinics across Phoenix, AZ during the 2015-2016 influenza A season. We used a combination of KS tests and a bootstrapping approach to evaluate whether the temporal distribution of cases varied by site and/or age group. Our analysis indicates that the timing of influenza cases during the 2015-2016 seasonal influenza epidemic were generally synchronized across sites and age groups. That said, we did observe some statistically significant differences in the timing of cases across some sites, and by site and age group. We found no evidence that influenza activity consistently begins or peaks earlier in children than in adults. To our knowledge, this is the first study to investigate differences in the intra-urban timing of influenza using influenza-specific case data. We were able to show evidence that influenza cases are not entirely synchronized across an urban area, but the differences we observed were relatively minor. It is important to understand the geographic scale at which influenza is synchronized in order to gain a better understanding of local transmission dynamics, and to determine the appropriate geographic scale that influenza surveillance data should be aggregated for prediction and warning systems.

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Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 25%
Student > Master 2 25%
Other 1 13%
Student > Ph. D. Student 1 13%
Unknown 2 25%
Readers by discipline Count As %
Medicine and Dentistry 3 38%
Environmental Science 1 13%
Agricultural and Biological Sciences 1 13%
Biochemistry, Genetics and Molecular Biology 1 13%
Unknown 2 25%