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The Seattle Flu Study: a multiarm community-based prospective study protocol for assessing influenza prevalence, transmission and genomic epidemiology.
Chu, Helen Y; Boeckh, Michael; Englund, Janet A; Famulare, Michael; Lutz, Barry; Nickerson, Deborah A; Rieder, Mark; Starita, Lea M; Adler, Amanda; Brandstetter, Elisabeth; Frazer, Chris D; Han, Peter D; Gulati, Reena K; Hadfield, James; Jackson, Michael; Kiavand, Anahita; Kimball, Louise E; Lacombe, Kirsten; Newman, Kira; Sibley, Thomas R; Logue, Jennifer K; Lyon, Victoria Rachel; Wolf, Caitlin R; Zigman Suchsland, Monica; Shendure, Jay; Bedford, Trevor.
Afiliación
  • Chu HY; Department of Medicine, University of Washington, Seattle, Washington, USA helenchu@uw.edu.
  • Boeckh M; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
  • Englund JA; Division of Pediatric Infectious Diseases, Allergy, and Rheumatology, University of Washington, Seattle, Washington, USA.
  • Famulare M; Institute for Disease Modeling, Bellevue, Washington, USA.
  • Lutz B; Bioengineering, University of Washington, Seattle, Washington, USA.
  • Nickerson DA; Genome Sciences, University of Washington, Seattle, Washington, USA.
  • Rieder M; Brotman Baty Institute, University of Washington, Seattle, Washington, USA.
  • Starita LM; Brotman Baty Institute, University of Washington, Seattle, Washington, USA.
  • Adler A; Genome Sciences, University of Washington, Seattle, Washington, USA.
  • Brandstetter E; Brotman Baty Institute, University of Washington, Seattle, Washington, USA.
  • Frazer CD; Seattle Children's Research Institute, Seattle, Washington, USA.
  • Han PD; Department of Medicine, University of Washington, Seattle, Washington, USA.
  • Gulati RK; Department of Medicine, University of Washington, Seattle, Washington, USA.
  • Hadfield J; Brotman Baty Institute, University of Washington, Seattle, Washington, USA.
  • Jackson M; Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Kiavand A; Department of Medicine, University of Washington, Seattle, Washington, USA.
  • Kimball LE; Kaiser Permanente, Oakland, California, USA.
  • Lacombe K; Department of Medicine, University of Washington, Seattle, Washington, USA.
  • Newman K; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
  • Sibley TR; Seattle Children's Research Institute, Seattle, Washington, USA.
  • Logue JK; Department of Medicine, University of Washington, Seattle, Washington, USA.
  • Lyon VR; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
  • Wolf CR; Medicine, University of Washington, Seattle, Washington, USA.
  • Zigman Suchsland M; Family Medicine, University of Washington, Seattle, Washington, USA.
  • Shendure J; Department of Medicine, University of Washington, Seattle, Washington, USA.
  • Bedford T; University of Washington, Seattle, Washington, USA.
BMJ Open ; 10(10): e037295, 2020 10 07.
Article en En | MEDLINE | ID: mdl-33033018
ABSTRACT

INTRODUCTION:

Influenza epidemics and pandemics cause significant morbidity and mortality. An effective response to a potential pandemic requires the infrastructure to rapidly detect, characterise, and potentially contain new and emerging influenza strains at both an individual and population level. The objective of this study is to use data gathered simultaneously from community and hospital sites to develop a model of how influenza enters and spreads in a population. METHODS AND

ANALYSIS:

Starting in the 2018-2019 season, we have been enrolling individuals with acute respiratory illness from community sites throughout the Seattle metropolitan area, including clinics, childcare facilities, Seattle-Tacoma International Airport, workplaces, college campuses and homeless shelters. At these sites, we collect clinical data and mid-nasal swabs from individuals with at least two acute respiratory symptoms. Additionally, we collect residual nasal swabs and data from individuals who seek care for respiratory symptoms at four regional hospitals. Samples are tested using a multiplex molecular assay, and influenza whole genome sequencing is performed for samples with influenza detected. Geospatial mapping and computational modelling platforms are in development to characterise the regional spread of influenza and other respiratory pathogens. ETHICS AND DISSEMINATION The study was approved by the University of Washington's Institutional Review Board (STUDY00006181). Results will be disseminated through talks at conferences, peer-reviewed publications and on the study website (www.seattleflu.org).
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Gripe Humana Tipo de estudio: Observational_studies / Prevalence_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: BMJ Open Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Gripe Humana Tipo de estudio: Observational_studies / Prevalence_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: BMJ Open Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos