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The Seattle Flu Study: a multiarm community-based prospective study protocol for assessing influenza prevalence, transmission and genomic epidemiology

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....

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7542952/
https://www.ncbi.nlm.nih.gov/pubmed/33033018
http://dx.doi.org/10.1136/bmjopen-2020-037295
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author 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
author_facet 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
author_sort Chu, Helen Y
collection PubMed
description 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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spelling pubmed-75429522020-10-19 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 BMJ Open Epidemiology 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). BMJ Publishing Group 2020-10-07 /pmc/articles/PMC7542952/ /pubmed/33033018 http://dx.doi.org/10.1136/bmjopen-2020-037295 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle 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
The Seattle Flu Study: a multiarm community-based prospective study protocol for assessing influenza prevalence, transmission and genomic epidemiology
title The Seattle Flu Study: a multiarm community-based prospective study protocol for assessing influenza prevalence, transmission and genomic epidemiology
title_full The Seattle Flu Study: a multiarm community-based prospective study protocol for assessing influenza prevalence, transmission and genomic epidemiology
title_fullStr The Seattle Flu Study: a multiarm community-based prospective study protocol for assessing influenza prevalence, transmission and genomic epidemiology
title_full_unstemmed The Seattle Flu Study: a multiarm community-based prospective study protocol for assessing influenza prevalence, transmission and genomic epidemiology
title_short The Seattle Flu Study: a multiarm community-based prospective study protocol for assessing influenza prevalence, transmission and genomic epidemiology
title_sort seattle flu study: a multiarm community-based prospective study protocol for assessing influenza prevalence, transmission and genomic epidemiology
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7542952/
https://www.ncbi.nlm.nih.gov/pubmed/33033018
http://dx.doi.org/10.1136/bmjopen-2020-037295
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