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与严重急性呼吸综合征冠状病毒2奥密克戎BA.2变体时空传播相关的风险因素——中国上海市，2022年

Risk Factors Associated with the Spatiotemporal Spread of the SARS-CoV-2 Omicron BA.2 Variant - Shanghai Municipality, China, 2022.

作者信息

Zheng Wen, Deng Xiaowei, Peng Cheng, Yan Xuemei, Zheng Nan, Chen Zhiyuan, Yang Juan, Ajelli Marco, Zhang Juanjuan, Yu Hongjie

机构信息

School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai Municipality, China.

Laboratory for Computational Epidemiology and Public Health, Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA.

出版信息

China CDC Wkly. 2023 Feb 3;5(5):97-102. doi: 10.46234/ccdcw2023.018.

DOI:10.46234/ccdcw2023.018
PMID:37006708
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10061774/
Abstract

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.

摘要

关于该主题已知的信息有哪些？：先前的研究已经探讨了严重急性呼吸综合征冠状病毒2（SARS-CoV-2）的空间传播模式，并评估了相关风险因素。然而，这些研究均未在微观（城市内部）尺度上对奥密克戎BA.2的时空传播模式和风险因素进行定量描述。

本报告新增了哪些内容？：本研究突出了2022年奥密克戎BA.2疫情在上海的异质性传播，并确定了街道层面不同空间传播指标与人口的人口统计学和社会经济特征、人口流动模式以及所采取干预措施之间的关联。

对公共卫生实践有何启示？：理清不同风险因素可能有助于更深入地了解2019冠状病毒病的传播动态和生态，并有效设计监测和管理策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b284/10061774/ce3d6798c502/ccdcw-5-5-97-S2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b284/10061774/75c56db09d10/ccdcw-5-5-97-1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b284/10061774/ce3d6798c502/ccdcw-5-5-97-S2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b284/10061774/75c56db09d10/ccdcw-5-5-97-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b284/10061774/27fe7a2ad9ac/ccdcw-5-5-97-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b284/10061774/ed81431f9d2c/ccdcw-5-5-97-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b284/10061774/0a8bee079f95/ccdcw-5-5-97-S1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b284/10061774/ce3d6798c502/ccdcw-5-5-97-S2.jpg

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