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Contact tracing reveals community transmission of COVID-19 in New York City

Understanding SARS-CoV-2 transmission within and among communities is critical for tailoring public health policies to local context. However, analysis of community transmission is challenging due to a lack of high-resolution surveillance and testing data. Here, using contact tracing records for 644...

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Autores principales: Pei, Sen, Kandula, Sasikiran, Cascante Vega, Jaime, Yang, Wan, Foerster, Steffen, Thompson, Corinne, Baumgartner, Jennifer, Ahuja, Shama Desai, Blaney, Kathleen, Varma, Jay K., Long, Theodore, Shaman, Jeffrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9588776/
https://www.ncbi.nlm.nih.gov/pubmed/36274183
http://dx.doi.org/10.1038/s41467-022-34130-x
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author Pei, Sen
Kandula, Sasikiran
Cascante Vega, Jaime
Yang, Wan
Foerster, Steffen
Thompson, Corinne
Baumgartner, Jennifer
Ahuja, Shama Desai
Blaney, Kathleen
Varma, Jay K.
Long, Theodore
Shaman, Jeffrey
author_facet Pei, Sen
Kandula, Sasikiran
Cascante Vega, Jaime
Yang, Wan
Foerster, Steffen
Thompson, Corinne
Baumgartner, Jennifer
Ahuja, Shama Desai
Blaney, Kathleen
Varma, Jay K.
Long, Theodore
Shaman, Jeffrey
author_sort Pei, Sen
collection PubMed
description Understanding SARS-CoV-2 transmission within and among communities is critical for tailoring public health policies to local context. However, analysis of community transmission is challenging due to a lack of high-resolution surveillance and testing data. Here, using contact tracing records for 644,029 cases and their contacts in New York City during the second pandemic wave, we provide a detailed characterization of the operational performance of contact tracing and reconstruct exposure and transmission networks at individual and ZIP code scales. We find considerable heterogeneity in reported close contacts and secondary infections and evidence of extensive transmission across ZIP code areas. Our analysis reveals the spatial pattern of SARS-CoV-2 spread and communities that are tightly interconnected by exposure and transmission. We find that locations with higher vaccination coverage and lower numbers of visitors to points-of-interest had reduced within- and cross-ZIP code transmission events, highlighting potential measures for curtailing SARS-CoV-2 spread in urban settings.
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spelling pubmed-95887762022-10-24 Contact tracing reveals community transmission of COVID-19 in New York City Pei, Sen Kandula, Sasikiran Cascante Vega, Jaime Yang, Wan Foerster, Steffen Thompson, Corinne Baumgartner, Jennifer Ahuja, Shama Desai Blaney, Kathleen Varma, Jay K. Long, Theodore Shaman, Jeffrey Nat Commun Article Understanding SARS-CoV-2 transmission within and among communities is critical for tailoring public health policies to local context. However, analysis of community transmission is challenging due to a lack of high-resolution surveillance and testing data. Here, using contact tracing records for 644,029 cases and their contacts in New York City during the second pandemic wave, we provide a detailed characterization of the operational performance of contact tracing and reconstruct exposure and transmission networks at individual and ZIP code scales. We find considerable heterogeneity in reported close contacts and secondary infections and evidence of extensive transmission across ZIP code areas. Our analysis reveals the spatial pattern of SARS-CoV-2 spread and communities that are tightly interconnected by exposure and transmission. We find that locations with higher vaccination coverage and lower numbers of visitors to points-of-interest had reduced within- and cross-ZIP code transmission events, highlighting potential measures for curtailing SARS-CoV-2 spread in urban settings. Nature Publishing Group UK 2022-10-23 /pmc/articles/PMC9588776/ /pubmed/36274183 http://dx.doi.org/10.1038/s41467-022-34130-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Pei, Sen
Kandula, Sasikiran
Cascante Vega, Jaime
Yang, Wan
Foerster, Steffen
Thompson, Corinne
Baumgartner, Jennifer
Ahuja, Shama Desai
Blaney, Kathleen
Varma, Jay K.
Long, Theodore
Shaman, Jeffrey
Contact tracing reveals community transmission of COVID-19 in New York City
title Contact tracing reveals community transmission of COVID-19 in New York City
title_full Contact tracing reveals community transmission of COVID-19 in New York City
title_fullStr Contact tracing reveals community transmission of COVID-19 in New York City
title_full_unstemmed Contact tracing reveals community transmission of COVID-19 in New York City
title_short Contact tracing reveals community transmission of COVID-19 in New York City
title_sort contact tracing reveals community transmission of covid-19 in new york city
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9588776/
https://www.ncbi.nlm.nih.gov/pubmed/36274183
http://dx.doi.org/10.1038/s41467-022-34130-x
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