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Multimodal surveillance of SARS-CoV-2 at a university enables development of a robust outbreak response framework
BACKGROUND: Universities are vulnerable to infectious disease outbreaks, making them ideal environments to study transmission dynamics and evaluate mitigation and surveillance measures. Here, we analyze multimodal COVID-19-associated data collected during the 2020–2021 academic year at Colorado Mesa...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cell Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482833/ https://www.ncbi.nlm.nih.gov/pubmed/36198312 http://dx.doi.org/10.1016/j.medj.2022.09.003 |
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author | Petros, Brittany A. Paull, Jillian S. Tomkins-Tinch, Christopher H. Loftness, Bryn C. DeRuff, Katherine C. Nair, Parvathy Gionet, Gabrielle L. Benz, Aaron Brock-Fisher, Taylor Hughes, Michael Yurkovetskiy, Leonid Mulaudzi, Shandukani Leenerman, Emma Nyalile, Thomas Moreno, Gage K. Specht, Ivan Sani, Kian Adams, Gordon Babet, Simone V. Baron, Emily Blank, Jesse T. Boehm, Chloe Botti-Lodovico, Yolanda Brown, Jeremy Buisker, Adam R. Burcham, Timothy Chylek, Lily Cronan, Paul Dauphin, Ann Desreumaux, Valentine Doss, Megan Flynn, Belinda Gladden-Young, Adrianne Glennon, Olivia Harmon, Hunter D. Hook, Thomas V. Kary, Anton King, Clay Loreth, Christine Marrs, Libby McQuade, Kyle J. Milton, Thorsen T. Mulford, Jada M. Oba, Kyle Pearlman, Leah Schifferli, Mark Schmidt, Madelyn J. Tandus, Grace M. Tyler, Andy Vodzak, Megan E. Krohn Bevill, Kelly Colubri, Andres MacInnis, Bronwyn L. Ozsoy, A. Zeynep Parrie, Eric Sholtes, Kari Siddle, Katherine J. Fry, Ben Luban, Jeremy Park, Daniel J. Marshall, John Bronson, Amy Schaffner, Stephen F. Sabeti, Pardis C. |
author_facet | Petros, Brittany A. Paull, Jillian S. Tomkins-Tinch, Christopher H. Loftness, Bryn C. DeRuff, Katherine C. Nair, Parvathy Gionet, Gabrielle L. Benz, Aaron Brock-Fisher, Taylor Hughes, Michael Yurkovetskiy, Leonid Mulaudzi, Shandukani Leenerman, Emma Nyalile, Thomas Moreno, Gage K. Specht, Ivan Sani, Kian Adams, Gordon Babet, Simone V. Baron, Emily Blank, Jesse T. Boehm, Chloe Botti-Lodovico, Yolanda Brown, Jeremy Buisker, Adam R. Burcham, Timothy Chylek, Lily Cronan, Paul Dauphin, Ann Desreumaux, Valentine Doss, Megan Flynn, Belinda Gladden-Young, Adrianne Glennon, Olivia Harmon, Hunter D. Hook, Thomas V. Kary, Anton King, Clay Loreth, Christine Marrs, Libby McQuade, Kyle J. Milton, Thorsen T. Mulford, Jada M. Oba, Kyle Pearlman, Leah Schifferli, Mark Schmidt, Madelyn J. Tandus, Grace M. Tyler, Andy Vodzak, Megan E. Krohn Bevill, Kelly Colubri, Andres MacInnis, Bronwyn L. Ozsoy, A. Zeynep Parrie, Eric Sholtes, Kari Siddle, Katherine J. Fry, Ben Luban, Jeremy Park, Daniel J. Marshall, John Bronson, Amy Schaffner, Stephen F. Sabeti, Pardis C. |
author_sort | Petros, Brittany A. |
collection | PubMed |
description | BACKGROUND: Universities are vulnerable to infectious disease outbreaks, making them ideal environments to study transmission dynamics and evaluate mitigation and surveillance measures. Here, we analyze multimodal COVID-19-associated data collected during the 2020–2021 academic year at Colorado Mesa University and introduce a SARS-CoV-2 surveillance and response framework. METHODS: We analyzed epidemiological and sociobehavioral data (demographics, contact tracing, and WiFi-based co-location data) alongside pathogen surveillance data (wastewater and diagnostic testing, and viral genomic sequencing of wastewater and clinical specimens) to characterize outbreak dynamics and inform policy. We applied relative risk, multiple linear regression, and social network assortativity to identify attributes or behaviors associated with contracting SARS-CoV-2. To characterize SARS-CoV-2 transmission, we used viral sequencing, phylogenomic tools, and functional assays. FINDINGS: Athletes, particularly those on high-contact teams, had the highest risk of testing positive. On average, individuals who tested positive had more contacts and longer interaction durations than individuals who never tested positive. The distribution of contacts per individual was overdispersed, although not as overdispersed as the distribution of phylogenomic descendants. Corroboration via technical replicates was essential for identification of wastewater mutations. CONCLUSIONS: Based on our findings, we formulate a framework that combines tools into an integrated disease surveillance program that can be implemented in other congregate settings with limited resources. FUNDING: This work was supported by the 10.13039/100000001National Science Foundation, the 10.13039/100005883Hertz Foundation, the 10.13039/100000002National Institutes of Health, the 10.13039/100000030Centers for Disease Control and Prevention, the Massachusetts Consortium on Pathogen Readiness, the 10.13039/100000011Howard Hughes Medical Institute, the Flu Lab, and the Audacious Project. |
format | Online Article Text |
id | pubmed-9482833 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cell Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-94828332022-09-19 Multimodal surveillance of SARS-CoV-2 at a university enables development of a robust outbreak response framework Petros, Brittany A. Paull, Jillian S. Tomkins-Tinch, Christopher H. Loftness, Bryn C. DeRuff, Katherine C. Nair, Parvathy Gionet, Gabrielle L. Benz, Aaron Brock-Fisher, Taylor Hughes, Michael Yurkovetskiy, Leonid Mulaudzi, Shandukani Leenerman, Emma Nyalile, Thomas Moreno, Gage K. Specht, Ivan Sani, Kian Adams, Gordon Babet, Simone V. Baron, Emily Blank, Jesse T. Boehm, Chloe Botti-Lodovico, Yolanda Brown, Jeremy Buisker, Adam R. Burcham, Timothy Chylek, Lily Cronan, Paul Dauphin, Ann Desreumaux, Valentine Doss, Megan Flynn, Belinda Gladden-Young, Adrianne Glennon, Olivia Harmon, Hunter D. Hook, Thomas V. Kary, Anton King, Clay Loreth, Christine Marrs, Libby McQuade, Kyle J. Milton, Thorsen T. Mulford, Jada M. Oba, Kyle Pearlman, Leah Schifferli, Mark Schmidt, Madelyn J. Tandus, Grace M. Tyler, Andy Vodzak, Megan E. Krohn Bevill, Kelly Colubri, Andres MacInnis, Bronwyn L. Ozsoy, A. Zeynep Parrie, Eric Sholtes, Kari Siddle, Katherine J. Fry, Ben Luban, Jeremy Park, Daniel J. Marshall, John Bronson, Amy Schaffner, Stephen F. Sabeti, Pardis C. Med (N Y) Clinical and Translational Resource and Technology Insights BACKGROUND: Universities are vulnerable to infectious disease outbreaks, making them ideal environments to study transmission dynamics and evaluate mitigation and surveillance measures. Here, we analyze multimodal COVID-19-associated data collected during the 2020–2021 academic year at Colorado Mesa University and introduce a SARS-CoV-2 surveillance and response framework. METHODS: We analyzed epidemiological and sociobehavioral data (demographics, contact tracing, and WiFi-based co-location data) alongside pathogen surveillance data (wastewater and diagnostic testing, and viral genomic sequencing of wastewater and clinical specimens) to characterize outbreak dynamics and inform policy. We applied relative risk, multiple linear regression, and social network assortativity to identify attributes or behaviors associated with contracting SARS-CoV-2. To characterize SARS-CoV-2 transmission, we used viral sequencing, phylogenomic tools, and functional assays. FINDINGS: Athletes, particularly those on high-contact teams, had the highest risk of testing positive. On average, individuals who tested positive had more contacts and longer interaction durations than individuals who never tested positive. The distribution of contacts per individual was overdispersed, although not as overdispersed as the distribution of phylogenomic descendants. Corroboration via technical replicates was essential for identification of wastewater mutations. CONCLUSIONS: Based on our findings, we formulate a framework that combines tools into an integrated disease surveillance program that can be implemented in other congregate settings with limited resources. FUNDING: This work was supported by the 10.13039/100000001National Science Foundation, the 10.13039/100005883Hertz Foundation, the 10.13039/100000002National Institutes of Health, the 10.13039/100000030Centers for Disease Control and Prevention, the Massachusetts Consortium on Pathogen Readiness, the 10.13039/100000011Howard Hughes Medical Institute, the Flu Lab, and the Audacious Project. Cell Press 2022-12-09 /pmc/articles/PMC9482833/ /pubmed/36198312 http://dx.doi.org/10.1016/j.medj.2022.09.003 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Clinical and Translational Resource and Technology Insights Petros, Brittany A. Paull, Jillian S. Tomkins-Tinch, Christopher H. Loftness, Bryn C. DeRuff, Katherine C. Nair, Parvathy Gionet, Gabrielle L. Benz, Aaron Brock-Fisher, Taylor Hughes, Michael Yurkovetskiy, Leonid Mulaudzi, Shandukani Leenerman, Emma Nyalile, Thomas Moreno, Gage K. Specht, Ivan Sani, Kian Adams, Gordon Babet, Simone V. Baron, Emily Blank, Jesse T. Boehm, Chloe Botti-Lodovico, Yolanda Brown, Jeremy Buisker, Adam R. Burcham, Timothy Chylek, Lily Cronan, Paul Dauphin, Ann Desreumaux, Valentine Doss, Megan Flynn, Belinda Gladden-Young, Adrianne Glennon, Olivia Harmon, Hunter D. Hook, Thomas V. Kary, Anton King, Clay Loreth, Christine Marrs, Libby McQuade, Kyle J. Milton, Thorsen T. Mulford, Jada M. Oba, Kyle Pearlman, Leah Schifferli, Mark Schmidt, Madelyn J. Tandus, Grace M. Tyler, Andy Vodzak, Megan E. Krohn Bevill, Kelly Colubri, Andres MacInnis, Bronwyn L. Ozsoy, A. Zeynep Parrie, Eric Sholtes, Kari Siddle, Katherine J. Fry, Ben Luban, Jeremy Park, Daniel J. Marshall, John Bronson, Amy Schaffner, Stephen F. Sabeti, Pardis C. Multimodal surveillance of SARS-CoV-2 at a university enables development of a robust outbreak response framework |
title | Multimodal surveillance of SARS-CoV-2 at a university enables development of a robust outbreak response framework |
title_full | Multimodal surveillance of SARS-CoV-2 at a university enables development of a robust outbreak response framework |
title_fullStr | Multimodal surveillance of SARS-CoV-2 at a university enables development of a robust outbreak response framework |
title_full_unstemmed | Multimodal surveillance of SARS-CoV-2 at a university enables development of a robust outbreak response framework |
title_short | Multimodal surveillance of SARS-CoV-2 at a university enables development of a robust outbreak response framework |
title_sort | multimodal surveillance of sars-cov-2 at a university enables development of a robust outbreak response framework |
topic | Clinical and Translational Resource and Technology Insights |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482833/ https://www.ncbi.nlm.nih.gov/pubmed/36198312 http://dx.doi.org/10.1016/j.medj.2022.09.003 |
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