Selected article for: "influenza transmission and spatial analysis"
Author: Helen Y. Chu; Michael Boeckh; Janet A. Englund; Michael Famulare; Barry R. Lutz; Deborah A Nickerson; Mark J. Rieder; Lea M Starita; Amanda Adler; Elisabeth Brandstetter; Chris D. Frazar; Peter D. Han; Reena K. Gularti; James Hadfield; Michael L. Jackson; Anahita Kiavand; Louise E. Kimball; Kirsten Lacombe; Jennifer Logue; Victoria Lyon; Kira L. Newman; Thomas R. Sibley; Monica L. Zigman Suschsland; Caitlin Wolf; Jay Shendure; Trevor Bedford
Title: The Seattle Flu Study: a multi-arm community-based prospective study protocol for assessing influenza prevalence, transmission, and genomic epidemiology
  • Document date: 2020_3_6
    • ID: 4nmc356g_15
    Snippet: The primary hypothesis is that a large-scale cross-sectional design can detect early cases of influenza, monitor community-level transmission through viral genetic and spatial-demographic analysis, and be used to inform public health and clinical interventions......
    Document: The primary hypothesis is that a large-scale cross-sectional design can detect early cases of influenza, monitor community-level transmission through viral genetic and spatial-demographic analysis, and be used to inform public health and clinical interventions.

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