检索结果-南通市图书馆

Estimating Changes in Contact Patterns in China Over the First Year of the COVID-19 Pandemic:Implications for SARS-CoV-2 Spread—Four Cities,China,2020

引用

China CDC weekly 2023年第5期5卷 113-119,I0012-I0017页

作者： Yuxia Liang Cheng Peng Qian You Maria Litvinova Marco Ajelli Juanjuan Zhang Hongjie Yu School of Public Health Fudan UniversityKey Laboratory of Public Health SafetyMinistry of EducationShanghai MunicipalityChina Laboratory for Computational Epidemiology and Public Health Department of Epidemiology and BiostatisticsIndiana University School of Public HealthBloomingtonINUSA Shanghai Institute of Infectious Disease and Biosecurity Fudan UniversityShanghai MunicipalityChina

Introduction:Previous studies have demonstrated significant changes in social contacts during the firstwave coronavirus disease 2019(COVID-19)in Chinese mainland.The purpose of this study was to quantify the time-varying contact patterns by age in Chinese mainland in 2020 and evaluate their impact on the transmission of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).Methods:Diary-based contact surveys were performed for four periods:baseline(prior to 2020),outbreak(February 2020),post-lockdown(March–May 2020),and post-epidemic(September–November 2020).We built a Susceptible-Infected-Recovered(SIR)model to evaluate the effect of reducing contacts on transmission.Results:During the post-epidemic period,daily contacts resumed to 26.7%,14.8%,46.8%,and 44.2%of the pre-COVID levels in Wuhan,Shanghai,Shenzhen,and Changsha,respectively.This suggests a moderate risk of resurgence in Changsha,Shenzhen,and Wuhan,and a low risk in Shanghai.School closure alone was not enough to interrupt transmission of SARS-CoV-2 Omicron BA.5,but with the addition of a 75%reduction of contacts at the workplace,it could lead to a 16.8%reduction of the attack rate.To control an outbreak,concerted strategies that target schools,workplaces,and community contacts are needed.Discussion:Monitoring contact patterns by age is key to quantifying the risk of COVID-19 outbreaks and evaluating the impact of intervention strategies.

关键词： mainland resume contacts

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

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

引用

China CDC weekly 2023年第5期5卷 97-102,I0001-I0005页

作者： Wen Zheng Xiaowei Deng Cheng Peng Xuemei Yan Nan Zheng Zhiyuan Chen Juan Yang Marco Ajelli Juanjuan Zhang Hongjie Yu School of Public Health Fudan UniversityKey Laboratory of Public Health SafetyMinistry of EducationShanghai MunicipalityChina Laboratory for Computational Epidemiology and Public Health Department of Epidemiology and BiostatisticsIndiana University School of Public HealthBloomingtonINUSA Shanghai Institute of Infectious Disease and Biosecurity Fudan UniversityShanghai MunicipalityChina

Summary 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.

关键词： acute assessed respiratory

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Transmission Dynamics and Epidemiological Characteristics of the SARS-CoV-2 Delta Variant ― Hunan Province, China, 2021

引用

China CDC weekly 2023年第3期5卷 56-62,I0006-I0009页

作者： Kaiwei Luo Yanpeng Wu Yan Wang Ziyan Liu Lan Yi Shanlu Zhao Xuemei Yan Hao Yang Kaiyuan Sun Marco Ajelli Shixiong Hu Hongjie Yu Hunan Provincial Center for Disease Control and Prevention Workstation for Emerging Infectious Disease Control and PreventionChinese Academy of Medical SciencesChangsha CityHunan ProvinceChina Shanghai Institute of Infectious Disease and Biosecurity Fudan UniversityShanghai MunicipalityChina School of Public Health Fudan UniversityKey Laboratory of Public Health SafetyMinistry of EducationShanghai MunicipalityChina Division of International Epidemiology and Population Studies Fogarty International CenterNational Institutes of HealthBethesdaMDUSA Laboratory of Computational Epidemiology and Public Health Department of Epidemiology and BiostatisticsIndiana University School of Public HealthBloomingtonINUSA

Monitoring changes in the epidemiologic features between different severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)variants is key to understanding the evolution of viral fitness in the host population.Here,we analyzed a successfully contained local outbreak of the Delta variant that took place in Hunan,China,in July–August,2021.Detailed data on SARS-CoV-2 infections and their contacts were collected during the outbreak.By leveraging these data,we estimated key epidemiological parameters,including the incubation period,serial interval,and generation time.We constructed a generalized linear mixed-effects model(GLMM)to quantify risk factors for Delta infection and transmission.Between July 28 and August 15,2021,a total of 129 infections and their 2,118 close contacts were identified during the outbreak in Hunan Province.

关键词： Hunan population Province

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：