[Analysis of HIV transmission hotspots and characteristics of cross-regional transmission in Guangxi Zhuang Autonomous Region based on molecular network] [0.03%]
基于分子网络的广西艾滋病传播热点及跨区域传播特征分析
H Jiang,K L Tang,J H Huang et al.
H Jiang et al.
Objective: To analyze HIV transmission hotspots and characteristics of cross-regional transmission in Guangxi Zhuang autonomous region (Guangxi) based on the molecular network analysis, and provide evidence for optimization of precise AIDS ...
[Health-adjusted life expectancy in residents in Guangzhou, 2010-2019] [0.03%]
2010—2019年广州市户籍居民健康预期寿命分析
J Y Xi,Y Y Chen,X Lin et al.
J Y Xi et al.
Objective: To analyze the spatiotemporal distribution of life expectancy (LE) and health-adjusted life expectancy (HALE) in Guangzhou from 2010 to 2019, and quantize the comprehensive impact of different causes and sequelae on health. Metho...
[Comparative analysis on prevalence of tobacco and e-cigarettes uses in junior middle school students in Shanghai, 2013 and 2019] [0.03%]
上海市初中学生烟草和电子烟使用流行情况比较：2013年与2019年监测结果分析
X X Jia,K Xu,B B Che et al.
X X Jia et al.
Objective: To examine the prevalence and trend of tobacco and e-cigarettes uses and identify the influencing factors for smoking behavior in junior middle school students in Shanghai, and provide data support and scientific basis for the de...
[Epidemiological characteristics of notifiable infectious diseases in Beijing, 2021] [0.03%]
2021年北京市法定报告传染病流行特征分析
Y P Shi,Y L Gao,C Wang et al.
Y P Shi et al.
Objective: To understand the epidemiological characteristics of notifiable infectious diseases reported in Beijing in 2021 under the influence of the novel coronavirus pneumonia epidemic prevention and control policy, and provide reference ...
[Multi-state Markov model analysis of disease outcomes and influencing factors in HIV infected individuals receiving antiretroviral therapy in Luzhou of Sichuan province, 2010-2021] [0.03%]
四川省泸州市艾滋病抗病毒治疗人群结局及影响因素多状态Markov模型分析（2010-2021年）
D D Niu,H L Tang,F F Chen et al.
D D Niu et al.
Objective: To construct a multi-state Markov model and analyze the disease outcomes and its influencing factors in HIV infected individuals receiving antiretroviral therapy. Methods: A retrospective cohort analysis was conducted in HIV infe...
[Smoking relapse rate and influencing factors in smokers aged 15 years and above in China] [0.03%]
中国15岁及以上吸烟者复吸率及其影响因素分析
X B Di,S W Liu,H Y Xie et al.
X B Di et al.
Objective: To describe the relapse status of smokers aged ≥15 years in China, and investigate the main factors influencing their relapse behavior. Methods: The data of this study cames from the 2018 China Adult Tobacco Survey, covering 400...
[Thirty-year changes in disability adjusted life years for colorectal cancer in China: a screening perspective analysis] [0.03%]
中国结直肠癌伤残调整寿命年的三十年变化及筛查应对分析
Y J Li,M D Cao,X Wang et al.
Y J Li et al.
Objective: From a screening-focused perspective, to analyze the 30-year changes in disability adjusted life years (DALYs) caused by colorectal cancer (CRC) in China and in some other selected populations, to inform extent of burden of CRC a...
[Epidemiological characteristics of a local cluster epidemic caused by 2019-nCoV Delta variant in Ningbo, 2021] [0.03%]
2021年宁波德尔塔变异株本地新冠肺炎疫情的流行病学特征分析
D L Zhang,Y Chen,B Yi et al.
D L Zhang et al.
Objective: To understand the epidemiological characteristics of a local clustered epidemic caused by 2019-nCoV Delta variant in Ningbo and provide reference for the improvement of COVID-19 epidemic prevention and control. Methods: Case find...
[Transmission characteristics and risk factors of household COVID-19 clusters caused by 2019-nCoV Omicron variant in Tianjin] [0.03%]
奥密克戎变异株所致家庭聚集性疫情的传播特征及危险因素分析——天津新型冠状病毒肺炎病例数据分析
G P Zhang,C Su,J Yang et al.
G P Zhang et al.
Objective: To understand the transmission characteristics and risk factors of household COVID-19 clusters caused by 2019-nCoV Omicron variant in Tianjin and provide evidence for COVID-19 prevention and control. Methods: Field epidemiologica...
J Du,J M Wang,J Wang et al.
J Du et al.
Objective: To evaluate the transmissibility of 2019-nCoV Omicron variant under the current prevention and control strategy in Beijing, and provide evidence for the prevention and control of COVID-19. Methods: The information of 78 Omicron v...