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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cell Press 2022
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.
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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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