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Community transmission of SARS-CoV-2 during the Delta wave in New York City

BACKGROUND: Understanding community transmission of SARS-CoV-2 variants of concern (VOCs) is critical for disease control in the post pandemic era. The Delta variant (B.1.617.2) emerged in late 2020 and became the dominant VOC globally in the summer of 2021. While the epidemiological features of the...

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Autores principales: Dai, Katherine, Foerster, Steffen, Vora, Neil M., Blaney, Kathleen, Keeley, Chris, Hendricks, Lisa, Varma, Jay K., Long, Theodore, Shaman, Jeffrey, Pei, Sen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10621074/
https://www.ncbi.nlm.nih.gov/pubmed/37915079
http://dx.doi.org/10.1186/s12879-023-08735-6
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author Dai, Katherine
Foerster, Steffen
Vora, Neil M.
Blaney, Kathleen
Keeley, Chris
Hendricks, Lisa
Varma, Jay K.
Long, Theodore
Shaman, Jeffrey
Pei, Sen
author_facet Dai, Katherine
Foerster, Steffen
Vora, Neil M.
Blaney, Kathleen
Keeley, Chris
Hendricks, Lisa
Varma, Jay K.
Long, Theodore
Shaman, Jeffrey
Pei, Sen
author_sort Dai, Katherine
collection PubMed
description BACKGROUND: Understanding community transmission of SARS-CoV-2 variants of concern (VOCs) is critical for disease control in the post pandemic era. The Delta variant (B.1.617.2) emerged in late 2020 and became the dominant VOC globally in the summer of 2021. While the epidemiological features of the Delta variant have been extensively studied, how those characteristics shaped community transmission in urban settings remains poorly understood. METHODS: Using high-resolution contact tracing data and testing records, we analyze the transmission of SARS-CoV-2 during the Delta wave within New York City (NYC) from May 2021 to October 2021. We reconstruct transmission networks at the individual level and across 177 ZIP code areas, examine network structure and spatial spread patterns, and use statistical analysis to estimate the effects of factors associated with COVID-19 spread. RESULTS: We find considerable individual variations in reported contacts and secondary infections, consistent with the pre-Delta period. Compared with earlier waves, Delta-period has more frequent long-range transmission events across ZIP codes. Using socioeconomic, mobility and COVID-19 surveillance data at the ZIP code level, we find that a larger number of cumulative cases in a ZIP code area is associated with reduced within- and cross-ZIP code transmission and the number of visitors to each ZIP code is positively associated with the number of non-household infections identified through contact tracing and testing. CONCLUSIONS: The Delta variant produced greater long-range spatial transmission across NYC ZIP code areas, likely caused by its increased transmissibility and elevated human mobility during the study period. Our findings highlight the potential role of population immunity in reducing transmission of VOCs. Quantifying variability of immunity is critical for identifying subpopulations susceptible to future VOCs. In addition, non-pharmaceutical interventions limiting human mobility likely reduced SARS-CoV-2 spread over successive pandemic waves and should be encouraged for reducing transmission of future VOCs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08735-6.
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spelling pubmed-106210742023-11-03 Community transmission of SARS-CoV-2 during the Delta wave in New York City Dai, Katherine Foerster, Steffen Vora, Neil M. Blaney, Kathleen Keeley, Chris Hendricks, Lisa Varma, Jay K. Long, Theodore Shaman, Jeffrey Pei, Sen BMC Infect Dis Research BACKGROUND: Understanding community transmission of SARS-CoV-2 variants of concern (VOCs) is critical for disease control in the post pandemic era. The Delta variant (B.1.617.2) emerged in late 2020 and became the dominant VOC globally in the summer of 2021. While the epidemiological features of the Delta variant have been extensively studied, how those characteristics shaped community transmission in urban settings remains poorly understood. METHODS: Using high-resolution contact tracing data and testing records, we analyze the transmission of SARS-CoV-2 during the Delta wave within New York City (NYC) from May 2021 to October 2021. We reconstruct transmission networks at the individual level and across 177 ZIP code areas, examine network structure and spatial spread patterns, and use statistical analysis to estimate the effects of factors associated with COVID-19 spread. RESULTS: We find considerable individual variations in reported contacts and secondary infections, consistent with the pre-Delta period. Compared with earlier waves, Delta-period has more frequent long-range transmission events across ZIP codes. Using socioeconomic, mobility and COVID-19 surveillance data at the ZIP code level, we find that a larger number of cumulative cases in a ZIP code area is associated with reduced within- and cross-ZIP code transmission and the number of visitors to each ZIP code is positively associated with the number of non-household infections identified through contact tracing and testing. CONCLUSIONS: The Delta variant produced greater long-range spatial transmission across NYC ZIP code areas, likely caused by its increased transmissibility and elevated human mobility during the study period. Our findings highlight the potential role of population immunity in reducing transmission of VOCs. Quantifying variability of immunity is critical for identifying subpopulations susceptible to future VOCs. In addition, non-pharmaceutical interventions limiting human mobility likely reduced SARS-CoV-2 spread over successive pandemic waves and should be encouraged for reducing transmission of future VOCs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08735-6. BioMed Central 2023-11-02 /pmc/articles/PMC10621074/ /pubmed/37915079 http://dx.doi.org/10.1186/s12879-023-08735-6 Text en © The Author(s) 2023 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Dai, Katherine
Foerster, Steffen
Vora, Neil M.
Blaney, Kathleen
Keeley, Chris
Hendricks, Lisa
Varma, Jay K.
Long, Theodore
Shaman, Jeffrey
Pei, Sen
Community transmission of SARS-CoV-2 during the Delta wave in New York City
title Community transmission of SARS-CoV-2 during the Delta wave in New York City
title_full Community transmission of SARS-CoV-2 during the Delta wave in New York City
title_fullStr Community transmission of SARS-CoV-2 during the Delta wave in New York City
title_full_unstemmed Community transmission of SARS-CoV-2 during the Delta wave in New York City
title_short Community transmission of SARS-CoV-2 during the Delta wave in New York City
title_sort community transmission of sars-cov-2 during the delta wave in new york city
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10621074/
https://www.ncbi.nlm.nih.gov/pubmed/37915079
http://dx.doi.org/10.1186/s12879-023-08735-6
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