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Risk Factors Associated with the Spatiotemporal Spread of the SARS-CoV-2 Omicron BA.2 Variant — Shanghai Municipality, China, 2022
WHAT IS ALREADY KNOWN ABOUT THIS TOPIC? Previous studies have explored the spatial transmission patterns of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and have assessed the associated risk factors. However, none of these studies have quantitatively described the spatiotemporal tran...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061774/ https://www.ncbi.nlm.nih.gov/pubmed/37006708 http://dx.doi.org/10.46234/ccdcw2023.018 |
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author | Zheng, Wen Deng, Xiaowei Peng, Cheng Yan, Xuemei Zheng, Nan Chen, Zhiyuan Yang, Juan Ajelli, Marco Zhang, Juanjuan Yu, Hongjie |
author_facet | Zheng, Wen Deng, Xiaowei Peng, Cheng Yan, Xuemei Zheng, Nan Chen, Zhiyuan Yang, Juan Ajelli, Marco Zhang, Juanjuan Yu, Hongjie |
author_sort | Zheng, Wen |
collection | PubMed |
description | WHAT IS ALREADY KNOWN ABOUT THIS TOPIC? Previous studies have explored the spatial transmission patterns of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and have assessed the associated risk factors. However, none of these studies have quantitatively described the spatiotemporal transmission patterns and risk factors for Omicron BA.2 at the micro (within-city) scale. WHAT IS ADDED BY THIS REPORT? This study highlights the heterogeneous spread of the 2022 Omicron BA.2 epidemic in Shanghai, and identifies associations between different metrics of spatial spread at the subdistrict level and demographic and socioeconomic characteristics of the population, human mobility patterns, and adopted interventions. WHAT ARE THE IMPLICATIONS FOR PUBLIC HEALTH PRACTICE? Disentangling different risk factors might contribute to a deeper understanding of the transmission dynamics and ecology of coronavirus disease 2019 and an effective design of monitoring and management strategies. |
format | Online Article Text |
id | pubmed-10061774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-100617742023-03-31 Risk Factors Associated with the Spatiotemporal Spread of the SARS-CoV-2 Omicron BA.2 Variant — Shanghai Municipality, China, 2022 Zheng, Wen Deng, Xiaowei Peng, Cheng Yan, Xuemei Zheng, Nan Chen, Zhiyuan Yang, Juan Ajelli, Marco Zhang, Juanjuan Yu, Hongjie China CDC Wkly Preplanned Studies WHAT IS ALREADY KNOWN ABOUT THIS TOPIC? Previous studies have explored the spatial transmission patterns of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and have assessed the associated risk factors. However, none of these studies have quantitatively described the spatiotemporal transmission patterns and risk factors for Omicron BA.2 at the micro (within-city) scale. WHAT IS ADDED BY THIS REPORT? This study highlights the heterogeneous spread of the 2022 Omicron BA.2 epidemic in Shanghai, and identifies associations between different metrics of spatial spread at the subdistrict level and demographic and socioeconomic characteristics of the population, human mobility patterns, and adopted interventions. WHAT ARE THE IMPLICATIONS FOR PUBLIC HEALTH PRACTICE? Disentangling different risk factors might contribute to a deeper understanding of the transmission dynamics and ecology of coronavirus disease 2019 and an effective design of monitoring and management strategies. Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2023-02-03 /pmc/articles/PMC10061774/ /pubmed/37006708 http://dx.doi.org/10.46234/ccdcw2023.018 Text en Copyright and License information: Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2023 https://creativecommons.org/licenses/by-nc-sa/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ (https://creativecommons.org/licenses/by-nc-sa/4.0/) |
spellingShingle | Preplanned Studies Zheng, Wen Deng, Xiaowei Peng, Cheng Yan, Xuemei Zheng, Nan Chen, Zhiyuan Yang, Juan Ajelli, Marco Zhang, Juanjuan Yu, Hongjie Risk Factors Associated with the Spatiotemporal Spread of the SARS-CoV-2 Omicron BA.2 Variant — Shanghai Municipality, China, 2022 |
title | Risk Factors Associated with the Spatiotemporal Spread of the SARS-CoV-2 Omicron BA.2 Variant — Shanghai Municipality, China, 2022 |
title_full | Risk Factors Associated with the Spatiotemporal Spread of the SARS-CoV-2 Omicron BA.2 Variant — Shanghai Municipality, China, 2022 |
title_fullStr | Risk Factors Associated with the Spatiotemporal Spread of the SARS-CoV-2 Omicron BA.2 Variant — Shanghai Municipality, China, 2022 |
title_full_unstemmed | Risk Factors Associated with the Spatiotemporal Spread of the SARS-CoV-2 Omicron BA.2 Variant — Shanghai Municipality, China, 2022 |
title_short | Risk Factors Associated with the Spatiotemporal Spread of the SARS-CoV-2 Omicron BA.2 Variant — Shanghai Municipality, China, 2022 |
title_sort | risk factors associated with the spatiotemporal spread of the sars-cov-2 omicron ba.2 variant — shanghai municipality, china, 2022 |
topic | Preplanned Studies |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061774/ https://www.ncbi.nlm.nih.gov/pubmed/37006708 http://dx.doi.org/10.46234/ccdcw2023.018 |
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