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LB21. The Seattle Flu Study: A Community-Based Study of Influenza

BACKGROUND: Influenza epidemics and pandemics cause significant morbidity and mortality. An effective response to a potential pandemic requires the infrastructure to rapidly detect and contain new and emerging flu strains at a population level. The objective of this study was to use data gathered si...

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Autores principales: Chu, Helen Y, Boeckh, Michael, Englund, Janet A, Famulare, Michael, Lutz, Barry R, Nickerson, Deborah A, Rieder, Mark, Starita, Lea, Thompson, Matthew, Shendure, Jay, Bedford, Trevor, Adler, Amanda, Brandstetter, Elisabeth, Bosua, Jeris, Frazar, Christian D, Han, Peter D, Gulati, Reena, Hadfield, James, Huang, ShiChu, Jackson, Michael L, Kiavand, Anahita, Kimball, Louise E, Lacombe, Kirsten, Logue, Jennifer, Lyon, Victoria, Sibley, Thomas R, Zigman Suchsland, Monica L, Wolf, Caitlin R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6809800/
http://dx.doi.org/10.1093/ofid/ofz415.2504
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author Chu, Helen Y
Chu, Helen Y
Boeckh, Michael
Boeckh, Michael
Englund, Janet A
Englund, Janet A
Famulare, Michael
Lutz, Barry R
Lutz, Barry R
Nickerson, Deborah A
Rieder, Mark
Rieder, Mark
Starita, Lea
Starita, Lea
Thompson, Matthew
Thompson, Matthew
Shendure, Jay
Bedford, Trevor
Adler, Amanda
Brandstetter, Elisabeth
Brandstetter, Elisabeth
Bosua, Jeris
Bosua, Jeris
Frazar, Christian D
Han, Peter D
Gulati, Reena
Hadfield, James
Huang, ShiChu
Jackson, Michael L
Jackson, Michael L
Kiavand, Anahita
Kimball, Louise E
Kimball, Louise E
Lacombe, Kirsten
Lacombe, Kirsten
Logue, Jennifer
Logue, Jennifer
Lyon, Victoria
Sibley, Thomas R
Zigman Suchsland, Monica L
Zigman Suchsland, Monica L
Wolf, Caitlin R
Wolf, Caitlin R
author_facet Chu, Helen Y
Chu, Helen Y
Boeckh, Michael
Boeckh, Michael
Englund, Janet A
Englund, Janet A
Famulare, Michael
Lutz, Barry R
Lutz, Barry R
Nickerson, Deborah A
Rieder, Mark
Rieder, Mark
Starita, Lea
Starita, Lea
Thompson, Matthew
Thompson, Matthew
Shendure, Jay
Bedford, Trevor
Adler, Amanda
Brandstetter, Elisabeth
Brandstetter, Elisabeth
Bosua, Jeris
Bosua, Jeris
Frazar, Christian D
Han, Peter D
Gulati, Reena
Hadfield, James
Huang, ShiChu
Jackson, Michael L
Jackson, Michael L
Kiavand, Anahita
Kimball, Louise E
Kimball, Louise E
Lacombe, Kirsten
Lacombe, Kirsten
Logue, Jennifer
Logue, Jennifer
Lyon, Victoria
Sibley, Thomas R
Zigman Suchsland, Monica L
Zigman Suchsland, Monica L
Wolf, Caitlin R
Wolf, Caitlin R
author_sort Chu, Helen Y
collection PubMed
description BACKGROUND: Influenza epidemics and pandemics cause significant morbidity and mortality. An effective response to a potential pandemic requires the infrastructure to rapidly detect and contain new and emerging flu strains at a population level. The objective of this study was to use data gathered simultaneously from community and hospital sites to develop a model of how flu enters and spreads in a population. METHODS: In the 2018–2019 season, we enrolled individuals with respiratory illness from community sites throughout the Seattle area, including homeless shelters, childcare facilities, Seattle-Tacoma International Airport, workplaces, college campuses, clinics, and at home (Figure 1). We collected data and nasal swabs from individuals with at least two respiratory symptoms. Additionally, we collected residual nasal swabs and data from individuals who sought care at four regional hospitals. Home-based self-testing for influenza and prediction models for influenza were piloted. Swabs were tested with a multiplex molecular assay, and influenza whole-genome sequencing was performed. Geospatial mapping and computational modeling platforms were developed to characterize regional spread of respiratory pathogens. RESULTS: A total of 18,847 samples were collected in the 2018–2019 season. Of those tested to date, 291/3,653 (8%) community and 2,393/11,273 (21%) hospital samples have influenza detected. Of the community enrollments, 39% had influenza-like illness. Community enrollees were in age groups not well-represented from hospitals. Influenza A/H3N2 activity peaked on college campuses and homeless shelters 2 weeks before the peak in hospitals. We observed multiple independent introductions of influenza strains into the city and evidence of sustained transmission chains within the city (Figures 2 and 3). CONCLUSION: Utilizing the city-wide infrastructure we developed, we observed the introduction of influenza A/H3N2 into the community before the hospital and evidence of transmissions of unique strains into and within the Seattle area. These data provide the blueprint for implementing city-wide, community-based surveillance systems for rapid detection, real-time assessment of transmission patterns, and interruption of spread of seasonal or pandemic strains. [Image: see text] [Image: see text] [Image: see text] DISCLOSURES: Helen Y. Chu, MD MPH, Merck (Advisor or Review Panel member), Michael Boeckh, MD PhD, Ablynx (Consultant, Grant/Research Support), Ansun Biopharma (Consultant, Grant/Research Support), Bavarian Nordic (Consultant), Gilead (Consultant, Grant/Research Support), GlaxoSmithKline (Consultant), Vir Bio (Consultant, Grant/Research Support), Janet A. Englund, MD, Chimerix (Grant/Research Support), GlaxoSmithKline (Grant/Research Support), MedImmune/Astrazeneca (Grant/Research Support), Meissa Vaccines (Consultant), Merck (Grant/Research Support),Novavax (Grant/Research Support), Sanofi Pastuer (Consultant), Matthew Thompson, MD, Alere Inc. (Research Grant or Support), Roche Molecular Diagnostics (Consultant, Research Grant or Support, Speaker’s Bureau), . Other Authors: No reported disclosures.
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spelling pubmed-68098002019-10-28 LB21. The Seattle Flu Study: A Community-Based Study of Influenza Chu, Helen Y Chu, Helen Y Boeckh, Michael Boeckh, Michael Englund, Janet A Englund, Janet A Famulare, Michael Lutz, Barry R Lutz, Barry R Nickerson, Deborah A Rieder, Mark Rieder, Mark Starita, Lea Starita, Lea Thompson, Matthew Thompson, Matthew Shendure, Jay Bedford, Trevor Adler, Amanda Brandstetter, Elisabeth Brandstetter, Elisabeth Bosua, Jeris Bosua, Jeris Frazar, Christian D Han, Peter D Gulati, Reena Hadfield, James Huang, ShiChu Jackson, Michael L Jackson, Michael L Kiavand, Anahita Kimball, Louise E Kimball, Louise E Lacombe, Kirsten Lacombe, Kirsten Logue, Jennifer Logue, Jennifer Lyon, Victoria Sibley, Thomas R Zigman Suchsland, Monica L Zigman Suchsland, Monica L Wolf, Caitlin R Wolf, Caitlin R Open Forum Infect Dis Abstracts BACKGROUND: Influenza epidemics and pandemics cause significant morbidity and mortality. An effective response to a potential pandemic requires the infrastructure to rapidly detect and contain new and emerging flu strains at a population level. The objective of this study was to use data gathered simultaneously from community and hospital sites to develop a model of how flu enters and spreads in a population. METHODS: In the 2018–2019 season, we enrolled individuals with respiratory illness from community sites throughout the Seattle area, including homeless shelters, childcare facilities, Seattle-Tacoma International Airport, workplaces, college campuses, clinics, and at home (Figure 1). We collected data and nasal swabs from individuals with at least two respiratory symptoms. Additionally, we collected residual nasal swabs and data from individuals who sought care at four regional hospitals. Home-based self-testing for influenza and prediction models for influenza were piloted. Swabs were tested with a multiplex molecular assay, and influenza whole-genome sequencing was performed. Geospatial mapping and computational modeling platforms were developed to characterize regional spread of respiratory pathogens. RESULTS: A total of 18,847 samples were collected in the 2018–2019 season. Of those tested to date, 291/3,653 (8%) community and 2,393/11,273 (21%) hospital samples have influenza detected. Of the community enrollments, 39% had influenza-like illness. Community enrollees were in age groups not well-represented from hospitals. Influenza A/H3N2 activity peaked on college campuses and homeless shelters 2 weeks before the peak in hospitals. We observed multiple independent introductions of influenza strains into the city and evidence of sustained transmission chains within the city (Figures 2 and 3). CONCLUSION: Utilizing the city-wide infrastructure we developed, we observed the introduction of influenza A/H3N2 into the community before the hospital and evidence of transmissions of unique strains into and within the Seattle area. These data provide the blueprint for implementing city-wide, community-based surveillance systems for rapid detection, real-time assessment of transmission patterns, and interruption of spread of seasonal or pandemic strains. [Image: see text] [Image: see text] [Image: see text] DISCLOSURES: Helen Y. Chu, MD MPH, Merck (Advisor or Review Panel member), Michael Boeckh, MD PhD, Ablynx (Consultant, Grant/Research Support), Ansun Biopharma (Consultant, Grant/Research Support), Bavarian Nordic (Consultant), Gilead (Consultant, Grant/Research Support), GlaxoSmithKline (Consultant), Vir Bio (Consultant, Grant/Research Support), Janet A. Englund, MD, Chimerix (Grant/Research Support), GlaxoSmithKline (Grant/Research Support), MedImmune/Astrazeneca (Grant/Research Support), Meissa Vaccines (Consultant), Merck (Grant/Research Support),Novavax (Grant/Research Support), Sanofi Pastuer (Consultant), Matthew Thompson, MD, Alere Inc. (Research Grant or Support), Roche Molecular Diagnostics (Consultant, Research Grant or Support, Speaker’s Bureau), . Other Authors: No reported disclosures. Oxford University Press 2019-10-23 /pmc/articles/PMC6809800/ http://dx.doi.org/10.1093/ofid/ofz415.2504 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Abstracts
Chu, Helen Y
Chu, Helen Y
Boeckh, Michael
Boeckh, Michael
Englund, Janet A
Englund, Janet A
Famulare, Michael
Lutz, Barry R
Lutz, Barry R
Nickerson, Deborah A
Rieder, Mark
Rieder, Mark
Starita, Lea
Starita, Lea
Thompson, Matthew
Thompson, Matthew
Shendure, Jay
Bedford, Trevor
Adler, Amanda
Brandstetter, Elisabeth
Brandstetter, Elisabeth
Bosua, Jeris
Bosua, Jeris
Frazar, Christian D
Han, Peter D
Gulati, Reena
Hadfield, James
Huang, ShiChu
Jackson, Michael L
Jackson, Michael L
Kiavand, Anahita
Kimball, Louise E
Kimball, Louise E
Lacombe, Kirsten
Lacombe, Kirsten
Logue, Jennifer
Logue, Jennifer
Lyon, Victoria
Sibley, Thomas R
Zigman Suchsland, Monica L
Zigman Suchsland, Monica L
Wolf, Caitlin R
Wolf, Caitlin R
LB21. The Seattle Flu Study: A Community-Based Study of Influenza
title LB21. The Seattle Flu Study: A Community-Based Study of Influenza
title_full LB21. The Seattle Flu Study: A Community-Based Study of Influenza
title_fullStr LB21. The Seattle Flu Study: A Community-Based Study of Influenza
title_full_unstemmed LB21. The Seattle Flu Study: A Community-Based Study of Influenza
title_short LB21. The Seattle Flu Study: A Community-Based Study of Influenza
title_sort lb21. the seattle flu study: a community-based study of influenza
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6809800/
http://dx.doi.org/10.1093/ofid/ofz415.2504
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