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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Journal Experts
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9347284/ https://www.ncbi.nlm.nih.gov/pubmed/35923312 http://dx.doi.org/10.21203/rs.3.rs-1840065/v1 |
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author | Pei, Sen Kandula, Sasikiran Vega, Jaime Cascante Yang, Wan Foerster, Steffen Thompson, Corinne Baumgartner, Jennifer Ahuja, Shama Blaney, Kathleen Varma, Jay Long, Theodore Shaman, Jeffrey |
author_facet | Pei, Sen Kandula, Sasikiran Vega, Jaime Cascante Yang, Wan Foerster, Steffen Thompson, Corinne Baumgartner, Jennifer Ahuja, Shama Blaney, Kathleen Varma, Jay 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 higher vaccination coverage and reduced numbers of visitors to points-of-interest are associated with fewer within- and cross-ZIP code transmission events, highlighting potential measures for curtailing SARS-CoV-2 spread in urban settings. |
format | Online Article Text |
id | pubmed-9347284 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Journal Experts |
record_format | MEDLINE/PubMed |
spelling | pubmed-93472842022-08-04 Contact tracing reveals community transmission of COVID-19 in New York City Pei, Sen Kandula, Sasikiran Vega, Jaime Cascante Yang, Wan Foerster, Steffen Thompson, Corinne Baumgartner, Jennifer Ahuja, Shama Blaney, Kathleen Varma, Jay Long, Theodore Shaman, Jeffrey Res Sq 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 higher vaccination coverage and reduced numbers of visitors to points-of-interest are associated with fewer within- and cross-ZIP code transmission events, highlighting potential measures for curtailing SARS-CoV-2 spread in urban settings. American Journal Experts 2022-07-27 /pmc/articles/PMC9347284/ /pubmed/35923312 http://dx.doi.org/10.21203/rs.3.rs-1840065/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Pei, Sen Kandula, Sasikiran Vega, Jaime Cascante Yang, Wan Foerster, Steffen Thompson, Corinne Baumgartner, Jennifer Ahuja, Shama Blaney, Kathleen Varma, Jay 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/PMC9347284/ https://www.ncbi.nlm.nih.gov/pubmed/35923312 http://dx.doi.org/10.21203/rs.3.rs-1840065/v1 |
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